Alternatives to Nativ
Compare Nativ alternatives for your business or organization using the curated list below. SourceForge ranks the best alternatives to Nativ in 2026. Compare features, ratings, user reviews, pricing, and more from Nativ competitors and alternatives in order to make an informed decision for your business.
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1
LTX
Lightricks
LTX is an open foundation model for video, audio, and world simulation. You get full control over your AI: run LTX locally on your own hardware, fine tune it on your own IP, and generate video and audio as one unified output instead of stitching together separate tools. The latest model, LTX-2.5, is a 22B-parameter dual-stream diffusion transformer that generates native 4K video at up to 50fps, with synchronized audio and video produced in a single pass. Weights, code, and research are fully open, and independent benchmarking from Artificial Analysis ranks LTX among the top 3 AI video models globally. Access LTX three ways: download the open weights and run it yourself, license the model for on-premise deployment with enterprise support, or build on LTX Studio, the production suite for creative teams and studios. Teams at ElevenLabs, Asteria Film Co., Magnopus, and NVIDIA already build on LTX. LTX is production infrastructure for AI teams generating motion and physical environments inside their own pipelines, not a consumer app for one-off clips. -
2
Kimi K3
Moonshot AI
Kimi K3 is Moonshot AI’s most capable model, built for frontier intelligence scenarios such as software engineering, knowledge work, deep reasoning, and multimodal understanding. The model has 2.8 trillion parameters and uses Kimi Delta Attention, a hybrid linear attention mechanism, along with Attention Residuals for long-context performance. Kimi K3 supports a 1 million token context window, making it useful for analyzing large codebases, long documents, complex knowledge bases, and multi-step workflows. It includes native visual understanding for images and videos, with support for structured message formats, base64 image input, uploaded video files, and multimodal reasoning. Developers can use Kimi K3 through an OpenAI-compatible API with support for streaming, structured JSON output, partial mode, custom tools, dynamic tool loading, and automatic context caching.Starting Price: $3 per 1M tokens (input) -
3
Inkling
Thinking Machines Lab
Inkling is an open-weights multimodal AI model from Thinking Machines designed as a customizable foundation model for developers, researchers, and enterprises. The model is a Mixture-of-Experts transformer with 975 billion total parameters, 41 billion active parameters, and support for context windows up to 1 million tokens. Inkling was trained from scratch on text, images, audio, and video, giving it native capabilities across reasoning, coding, agentic tool use, vision, audio, factuality, and instruction following. It is built with controllable thinking effort so users can balance performance, latency, and token efficiency for different workloads. The model is available for fine-tuning on Tinker, with playground access, API availability through ecosystem partners, and full weights published on Hugging Face. Built for customization, Inkling gives teams an open-weights base model for building domain-specific AI systems, multimodal agents, coding workflows, research tools, and more.Starting Price: Free -
4
MiniMax M3
MiniMax
MiniMax M3 is an open-weight multimodal AI model designed for coding, agentic workflows, long-context reasoning, and complex automation tasks. The model combines frontier-level coding performance, native multimodal understanding, and a context window of up to 1 million tokens. MiniMax M3 uses MiniMax Sparse Attention to improve long-context efficiency while reducing compute requirements for large-scale inputs. It supports text, image, and video understanding, making it useful for workflows that combine code, documents, visual references, and tool-driven tasks. The model is built for repository-scale reasoning, software engineering, autonomous task execution, tool calling, and multi-step agent workflows. MiniMax M3 helps developers, AI teams, and enterprises build capable agents that can reason across large contexts and work with multimodal information.Starting Price: $0.30 per million input tokens -
5
GLM-5.3-Flash
Z.ai
GLM-5.3-Flash is Z.ai’s natively multimodal model in the GLM-5 series (previously previewed as Ox Alpha), designed to deliver strong coding, agentic, visual, and knowledge-work performance at relatively low inference cost. It uses 320 billion total parameters with 18 billion active parameters, along with a hybrid architecture that combines sparse and linear attention to reduce the cost of long-context processing. The model supports context lengths of up to one million tokens and was trained on a 30-trillion-token multimodal corpus. GLM-5.3-Flash can reason across text, images, documents, interfaces, dashboards, and other visual information while using that feedback to refine its own outputs. Z.ai reports substantial gains over GLM-5.2 on coding and agentic benchmarks, including DeepSWE and AutomationBench, while approaching higher-cost frontier models on several evaluations.Starting Price: $0.15 per 1M tokens (input) -
6
Osaurus
Osaurus
Osaurus is a native AI harness for macOS that lets users run open models entirely on their Mac, connect cloud models when greater capability is needed, and carry shared memory across them. Built in Swift for Apple Silicon, it works fully offline with local models through Ollama, MLX, or LM Studio, keeping conversations, code, files, settings, agents, skills, and provider keys on the device unless the user explicitly chooses a cloud provider. A system-wide chat overlay provides quick access from any app, while separate agents can be created for coding, research, file organization, and other jobs, each with its own prompt, history, and memory. Osaurus distills past conversations into relevant facts, loads packaged skills when tasks require them, and gives agents scoped access to working folders, file search, Git, and other tools. Agents can run code in an isolated sandbox, delegate work to subagents, operate on schedules, respond to folder changes, use voice input, and generate images. -
7
epuBear
Scand
epuBear SDK is a C++ solution for EPUB readers development created by SCAND mobile app developers. It is fully compatible with EPUB2 and partially with EPUB3. Open, unpack and parse EPUB documents from file or memory (byte array), get EPUB document info, render pages to bitmaps, and more with this lightweight and easily customizable cross-platform SDK. We prepared native wrappers in Java (Android), Swift (iOS), C# (Xamarin) and React Native for our toolkit to be compatible with your project. The code of the wrappers acts as a proxy between the native code and the core. Cross-platform close Core of epuBear SDK provides the following functions: - Go to Page - Go to Chapter - Open Link - Change Font Size - Switch to DoublePage Mode - Switch to Night Mode - Bookmarks - Text Search - Select Text - Change Text Color - Change Background Color - Audio and Video Support - Set Custom Fonts - Open Image in a Separate Window - Vertical and Right-to-Left Writing. -
8
fx
Vercel
fx is a tiny, open, native coding agent harness and CLI written in Zig, optimized for research, performance, and embeddability as part of larger systems. Its design focuses on minimalism across the system prompt, tools, feature set, memory use, and a 6 MB binary, with an interface intended to feel closer to a Unix shell than a heavy terminal IDE. fx cold starts in microseconds and performs no unnecessary work or I/O before accepting input, making it suitable for programmatic use, resource-constrained environments, and agent sandboxes. Developers can start it inside a project and ask it to read files, search code, run commands, make changes, execute tests, and stream tool calls as they happen. The core is model- and provider-agnostic, supporting local models, gateways, direct provider access, and cloud inference. It is context-efficient by design, using a minimal system prompt and toolset to reduce token overhead and improve time to first token.Starting Price: Free -
9
Gemma 3n
Google DeepMind
Gemma 3n is our state-of-the-art open multimodal model, engineered for on-device performance and efficiency. Made for responsive, low-footprint local inference, Gemma 3n empowers a new wave of intelligent, on-the-go applications. It analyzes and responds to combined images and text, with video and audio coming soon. Build intelligent, interactive features that put user privacy first and work reliably offline. Mobile-first architecture, with a significantly reduced memory footprint. Co-designed by Google's mobile hardware teams and industry leaders. 4B active memory footprint with the ability to create submodels for quality-latency tradeoffs. Gemma 3n is our first open model built on this groundbreaking, shared architecture, allowing developers to begin experimenting with this technology today in an early preview. -
10
Oxlo.ai
Oxlo.ai
Oxlo.ai is a privacy-first inference stack for agents, built to run frontier-class open-source models with unlimited agentic tool calls, secure failover, and zero data retention or training. It gives developers request-based access to curated open models through a unified HTTP API designed for predictable usage, low-latency inference, and clean integration into production systems. Teams can call models through OpenAI-compatible endpoints, switch from another provider by changing the base URL and API key, and keep support for streaming, function calling, JSON mode, vision models, embeddings, and image generation. Oxlo.ai supports more than 40 models across text, chat, reasoning, coding, image generation, audio, embeddings, computer vision, vision-language, speech-to-text, text-to-speech, long-context, and detection workflows.Starting Price: $80 per month -
11
Wave Terminal
Command Line Inc
Wave is an open-source, AI-native terminal built for seamless developer workflows with inline rendering, a modern UI, and persistent sessions. Features Include: - Render almost anything in line with plugins for images, Markdown, audio/video, and more. - Edit code quickly with the same editor that powers VSCode locally and remotely. - Persistent sessions, searchable universal history, and workspaces across local and remote sessions. - Native AI integration with ChatGPT, with plans to allow users to bring their own AI (BYOLLM) in the future. - Licensed under the Apache 2.0 license, with packages available for both macOS and Linux.Starting Price: $0 -
12
Celeris-1
Celeris-1
Celeris-1 is a low-latency, general-purpose language model platform and a diffusion model designed to deliver frontier-level intelligence at dramatically higher speed. Instead of generating one token at a time like traditional autoregressive models, Celeris uses a diffusion-based inference architecture that enables parallel generation and response times measured in milliseconds. On its published MMLU-Pro benchmark, Celeris-1 reaches 75.9 accuracy with a 158 ms median response time and 1,664 output tokens per second, placing it within a few points of frontier models while running more than 10x faster. The model is exposed through an OpenAI-compatible API, so developers can point existing SDKs and clients at Celeris with minimal code changes. Streaming is enabled for interactive applications, with responses as low as 24 ms and no buffering or batch delay.Starting Price: $0.20 per 1M tokens -
13
Macyou
Macyou LLC
Macyou rents dedicated Apple Silicon Macs for AI workloads. Users configure a Mac (M4 Mac mini to Mac Studio M3 Ultra with 256 GB unified memory), pick a pre-configured stack — local LLMs via Ollama (Llama, Qwen, Mistral, DeepSeek), agent frameworks (CrewAI, LangGraph), or ML dev environments (MLX, Jupyter) — and get a running deployment in about 5 minutes. Every deployment exposes an OpenAI-compatible API, so existing OpenAI SDK code works by changing base_url; access also includes SSH with root and a browser-based remote desktop. Each customer gets a dedicated physical machine with full-disk encryption and a disk wipe between tenants, hosted in a GDPR-friendly jurisdiction. Pricing is a fixed monthly fee per machine with no per-token charges; Thunderbolt 5 clustering pools unified memory across nodes for larger models. Published, measured inference benchmarks (raw JSON, CC BY 4.0) show real tokens per second per chip.Starting Price: $79/month -
14
EverOS
EverMind
EverOS is a persistent memory infrastructure platform for AI agents that provides long-term, multimodal, cross-platform context across agent workflows. The system retrieves relevant memories before model calls, allowing agents to reuse prior context without repeatedly loading large histories into the prompt window. EverOS also includes self-evolving skills, which capture successful execution trajectories as cases and promote recurring patterns into reusable procedural knowledge. The platform can ingest PDFs, images, documents, spreadsheets, slides, Markdown, and URLs and convert them into searchable memory for inference-time retrieval. It supports cloud and self-hosted deployment, exports memories in Markdown, and integrates with tools such as Claude Code, Codex, OpenClaw, Hermes, MCP, and OpenAI- or Anthropic-compatible SDKs.Starting Price: Free -
15
MiniMax
MiniMax AI
MiniMax is a global AI technology company that develops advanced multimodal foundation models and AI-powered products for individuals, developers, and enterprises. Its flagship model, MiniMax M3, combines frontier-level coding capabilities, agentic task execution, native multimodal understanding, and support for up to 1 million tokens of context through its proprietary MiniMax Sparse Attention (MSA) architecture. The company offers a comprehensive ecosystem that includes coding assistants, AI agents, video generation, speech synthesis, music generation, and developer APIs. Through products such as MiniMax Code, Hailuo AI, MiniMax Audio, Talkie, and its enterprise platform, users can automate workflows, generate content, build applications, and deploy AI-powered solutions at scale. MiniMax helps organizations and developers improve productivity, accelerate software development, and create intelligent experiences across text, audio, image, video, and music. -
16
DeepInfra
DeepInfra
DeepInfra is an AI inference cloud that makes it simple to run the latest machine learning models at scale, including LLMs, vision models, embeddings, image generation, video generation, speech, and more. It provides serverless inference through simple APIs, allowing developers to integrate production-ready AI models without managing GPU infrastructure, autoscaling, deployment complexity, or model hosting operations. DeepInfra supports OpenAI-compatible APIs for LLMs and embeddings, making it easier to switch from existing OpenAI-style integrations while accessing a broad catalog of open and commercial models. Its Native API gives access to every model type available on the platform, including image generation, speech recognition, object detection, token classification, fill-mask, image classification, zero-shot image classification, and text classification. DeepInfra is optimized for scalable, low-latency inference and runs models on high-performance GPU infrastructure.Starting Price: $1.98 per hour -
17
GigaChat 3 Ultra
Sberbank
GigaChat 3 Ultra is a 702-billion-parameter Mixture-of-Experts model built from scratch to deliver frontier-level reasoning, multilingual capability, and deep Russian-language fluency. It activates just 36 billion parameters per token, enabling massive scale with practical inference speeds. The model was trained on a 14-trillion-token corpus combining natural, multilingual, and high-quality synthetic data to strengthen reasoning, math, coding, and linguistic performance. Unlike modified foreign checkpoints, GigaChat 3 Ultra is entirely original—giving developers full control, modern alignment, and a dataset free of inherited limitations. Its architecture leverages MoE, MTP, and MLA to match open-source ecosystems and integrate easily with popular inference and fine-tuning tools. With leading results on Russian benchmarks and competitive performance on global tasks, GigaChat 3 Ultra represents one of the largest and most capable open-source LLMs in the world.Starting Price: Free -
18
Kimi K2 Thinking
Moonshot AI
Kimi K2 Thinking is an advanced open source reasoning model developed by Moonshot AI, designed specifically for long-horizon, multi-step workflows where the system interleaves chain-of-thought processes with tool invocation across hundreds of sequential tasks. The model uses a mixture-of-experts architecture with a total of 1 trillion parameters, yet only about 32 billion parameters are activated per inference pass, optimizing efficiency while maintaining vast capacity. It supports a context window of up to 256,000 tokens, enabling the handling of extremely long inputs and reasoning chains without losing coherence. Native INT4 quantization is built in, which reduces inference latency and memory usage without performance degradation. Kimi K2 Thinking is explicitly built for agentic workflows; it can autonomously call external tools, manage sequential logic steps (up to and typically between 200-300 tool calls in a single chain), and maintain consistent reasoning.Starting Price: Free -
19
Speakmac
Speakmac
Speakmac is a private, on-device voice typing app that lets users talk instead of type in any application. Hold or trigger the dictation shortcut, speak naturally, and the app transcribes locally, placing text into the active window in under half a second without sending audio to the cloud. Speakmac automatically handles commas, periods, capitalization, and other grammar details, so casual speech arrives as clean, readable text. It is designed to work anywhere there is a blinking cursor, including browsers, editors, chat apps, documents, email, AI tools, and productivity software. The app supports more than 100 languages and adapts to different accents, with examples including English, Spanish, Chinese, French, Portuguese, German, Italian, Polish, Dutch, Ukrainian, Finnish, and many others. Speakmac runs as a lightweight native background application rather than an Electron or web wrapper, keeping memory use low and the experience responsive.Starting Price: $29 one-time payment -
20
Token360
Token360
Token360 is a unified AI gateway for business: a single OpenAI-compatible API that provides access to 80+ frontier AI models across text, image, audio, and video generation — including Seedance 2.5, Seedream 5.0 Pro, Kling, Veo 3.1, Claude, GPT, and Gemini. Teams integrate once and switch models with a parameter change; smart routing with automatic provider fallback keeps requests flowing when an upstream provider degrades. Pricing is pay-as-you-go at published per-model list prices. Token360 is an official ByteDance partner for the Seedance video generation model. Typical uses include adding video or image generation to existing products, evaluating language models side by side, and consolidating billing and quota management across AI providers. An interactive playground and developer documentation help teams make a first API call within minutes.Starting Price: Pay-as-you-go (usage-based) -
21
NativeMind
NativeMind
NativeMind is an open source, on-device AI assistant that runs entirely in your browser via Ollama integration, ensuring absolute privacy by never sending data to the cloud. Everything, from model inference to prompt processing, occurs locally, so there’s no syncing, logging, or data leakage. Users can load and switch between powerful open models such as DeepSeek, Qwen, Llama, Gemma, and Mistral instantly, without additional setup, and leverage native browser features for streamlined workflows. NativeMind offers clean, concise webpage summarization; persistent, context-aware chat across multiple tabs; local web search that retrieves and answers queries directly within the page; and immersive, format-preserving translation of entire pages. Built for speed and security, the extension is fully auditable and community-backed, delivering enterprise-grade performance for real-world use cases without vendor lock-in or hidden telemetry.Starting Price: Free -
22
Lucebox
Lucebox
Lucebox is a plug-and-play computer built for running local AI models and agents at full speed. Inside the custom chassis, a Ryzen AI MAX+ 395 with 128GB of unified LPDDR5X memory is paired with an RTX 3090, and the two work together through an open-source inference engine hand-tuned for exactly this hardware. The architecture is what makes it fast. Large models live in the 128GB unified memory tier, while the 3090's high-bandwidth VRAM acts as a fast tier. Speculative decoding (DFlash) and speculative prefill (PFlash) bridge the two, producing inference speeds up to 10x higher than llama.cpp on the same silicon and beating machines like the Mac Studio and DGX Spark at a fraction of their effective cost.Starting Price: $4,900 - One time payment -
23
MiMo-V2.5
Xiaomi Technology
Xiaomi MiMo-V2.5 is an advanced open-source AI model designed to combine strong agentic capabilities with native multimodal understanding. It can process and reason across text, images, and audio within a single unified system. The model uses a sparse Mixture-of-Experts architecture with hundreds of billions of parameters for efficient performance. It supports an extended context window of up to one million tokens, enabling long and complex workflows. MiMo-V2.5 is built to handle tasks such as coding, reasoning, and multimodal analysis with high accuracy. It incorporates dedicated visual and audio encoders to enhance perception and cross-modal reasoning. The model demonstrates strong benchmark performance across coding, reasoning, and multimodal tasks. By combining multimodality, efficiency, and agentic intelligence, MiMo-V2.5 advances the capabilities of open-source AI systems. -
24
Google AI Edge Gallery
Google
Google AI Edge Gallery is an experimental, open source Android app that demonstrates on-device machine learning and generative AI use cases, letting users download and run models locally (so they work offline once installed). It offers several features including AI Chat (multi-turn conversation), Ask Image (upload or use images to ask questions, identify objects, get descriptions), Audio Scribe (transcribe or translate recorded/uploaded audio), Prompt Lab (for single-turn tasks such as summarization, rewriting, code generation), and performance insights (metrics like latency, decode speed, etc.). Users can switch between different compatible models (including Gemma 3n and models from Hugging Face), bring their own LiteRT models, and explore model cards and source code for transparency. The app aims to protect privacy by doing all processing on the device, no internet connection needed for core operations after models are loaded, reducing latency, and enhancing data security.Starting Price: Free -
25
whatwide.ai
WhatWide Labs
Introducing whatwide.ai, the ultimate AI assistant that leverages OpenAI, AWS Polly, and ClipDrop API to: Create and enhance content swiftly using cutting-edge AI models like DALL-E v2, DALL-E v3, and StableDiffusion with minimal text input. Upscale images for improved resolution and visual appeal. Transcribe speech to text and generate audio from written content. Personalize AI chat interactions with unlimited AI personalities for direct and engaging responses. Generate AI code through chat or document functionalities. Access 50 customizable AI text templates and choose preferred OpenAI models such as GPT-4 or GPT-3.5 Turbo.Starting Price: $14.99 -
26
Qwen3.5-Plus
Alibaba
Qwen3.5-Plus is a high-performance native vision-language model designed for efficient text generation, deep reasoning, and multimodal understanding. Built on a hybrid architecture that combines linear attention with a sparse mixture-of-experts design, it delivers strong performance while optimizing inference efficiency. The model supports text, image, and video inputs and produces text outputs, making it suitable for complex multimodal workflows. With a massive 1 million token context window and up to 64K output tokens, Qwen3.5-Plus enables long-form reasoning and large-scale document analysis. It includes advanced capabilities such as structured outputs, function calling, web search, and tool integration via the Responses API. The model supports prefix continuation, caching, batch processing, and fine-tuning for flexible deployment. Designed for developers and enterprises, Qwen3.5-Plus provides scalable, high-throughput AI performance with OpenAI-compatible API access.Starting Price: $0.4 per 1M tokens -
27
PyGPT
PyGPT
PyGPT is an open source, personal desktop AI assistant for Linux, Windows, and Mac, written in Python. It works similarly to ChatGPT, but locally on a desktop computer, with chat, vision, agents, image and video generation, tools, voice control, and more. PyGPT supports multiple models, including OpenAI GPT-5, GPT-4, o1, o3, o4, Google Gemini, Anthropic Claude, xAI Grok, Perplexity Sonar, DeepSeek, Mistral AI, and models accessible through Ollama and LlamaIndex. It offers 12 modes of operation, including chat, chat with files, realtime + audio, research, completion, image and video generation, vision, assistants, experts, computer use, agents, and autonomous mode. Users can chat with their own files and data using integrated LlamaIndex support. PyGPT includes built-in vector database support, automated files and data embedding, full conversation context, short- and long-term memory, internet access through Google, Microsoft Bing, and DuckDuckGo, plus speech synthesis and recognition.Starting Price: Free -
28
Kimi K2
Moonshot AI
Kimi K2 is a state-of-the-art open source large language model series built on a mixture-of-experts (MoE) architecture, featuring 1 trillion total parameters and 32 billion activated parameters for task-specific efficiency. Trained with the Muon optimizer on over 15.5 trillion tokens and stabilized by MuonClip’s attention-logit clamping, it delivers exceptional performance in frontier knowledge, reasoning, mathematics, coding, and general agentic workflows. Moonshot AI provides two variants, Kimi-K2-Base for research-level fine-tuning and Kimi-K2-Instruct pre-trained for immediate chat and tool-driven interactions, enabling both custom development and drop-in agentic capabilities. Benchmarks show it outperforms leading open source peers and rivals top proprietary models in coding tasks and complex task breakdowns, while its 128 K-token context length, tool-calling API compatibility, and support for industry-standard inference engines.Starting Price: Free -
29
oMLX
oMLX
oMLX is a macOS-native MLX server designed to make local AI faster and more practical on Apple Silicon. Built for the way coding agents actually work, it uses paged SSD KV caching to persist cache blocks to disk, allowing previously seen prefixes to be restored across requests and server restarts instead of being recomputed from scratch. This can reduce time to first token on long contexts from 30–90 seconds to under five seconds after the first turn. Continuous batching handles concurrent requests through mlx-lm’s BatchGenerator, improving generation throughput without forcing requests to wait behind a single job. oMLX can serve LLMs, vision-language models, embedding models, and rerankers simultaneously, using LRU eviction when memory runs low. It supports any MLX-format model from Hugging Face, including Qwen, LLaMA, Mistral, Gemma, DeepSeek, MiniMax, and GLM, and can reuse models already stored in the standard Hugging Face cache, LM Studio folders, or custom directories. -
30
Voxtral
Mistral AI
Voxtral models are frontier open source speech‑understanding systems available in two sizes—a 24 B variant for production‑scale applications and a 3 B variant for local and edge deployments, both released under the Apache 2.0 license. They combine high‑accuracy transcription with native semantic understanding, supporting long‑form context (up to 32 K tokens), built‑in Q&A and structured summarization, automatic language detection across major languages, and direct function‑calling to trigger backend workflows from voice. Retaining the text capabilities of their Mistral Small 3.1 backbone, Voxtral handles audio up to 30 minutes for transcription or 40 minutes for understanding and outperforms leading open source and proprietary models on benchmarks such as LibriSpeech, Mozilla Common Voice, and FLEURS. Accessible via download on Hugging Face, API endpoint, or private on‑premises deployment, Voxtral also offers domain‑specific fine‑tuning and advanced enterprise features. -
31
Ask Sage
BigBear.ai
Ask Sage is a secure, model-agnostic generative AI platform built for government, defense, and regulated organizations that need to use sensitive data across mission-ready workflows. It provides one multimodal workspace for more than 150 commercial, frontier, and open-source models, supporting text, code, image generation and analysis, video, and audio without locking teams into a single provider. Users can ingest organizational data once and reuse it across models for grounded document Q&A, drafting, summarization, knowledge management, policy checks, data analysis, and role-specific outputs. Ask Sage Chat offers a conversational interface, while Workbook brings sources, memos, shared chat history, and team collaboration into one document-centered environment. Agent Builder uses a visual, node-based canvas to create, preview, reuse, monitor, and orchestrate automated workflows without code. -
32
GPT-5 mini
OpenAI
GPT-5 mini is a streamlined, faster, and more affordable variant of OpenAI’s GPT-5, optimized for well-defined tasks and precise prompts. It supports text and image inputs and delivers high-quality text outputs with a 400,000-token context window and up to 128,000 output tokens. This model excels at rapid response times, making it suitable for applications requiring fast, accurate language understanding without the full overhead of GPT-5. Pricing is cost-effective, with input tokens at $0.25 per million and output tokens at $2 per million, providing savings over the flagship model. GPT-5 mini supports advanced features like streaming, function calling, structured outputs, and fine-tuning, but does not support audio input or image generation. It integrates well with various API endpoints including chat completions, responses, and embeddings, making it versatile for many AI-powered tasks.Starting Price: $0.25 per 1M tokens -
33
omp
omp
omp is an open source AI coding agent and development harness that provides developers with a powerful local environment for AI-assisted engineering. It connects AI models directly to IDE capabilities, debugging tools, code execution, language servers, browser automation, memory, and dozens of built-in development tools. It supports more than 40 AI providers while allowing developers to use a single interface across cloud and local language models. omp enhances coding performance with features such as intelligent code editing, parallel subagents, persistent execution environments, integrated debugging, and advanced code review workflows. It also includes collaborative sessions, local memory, workflow automation, browser control, and GitHub integration to streamline complex software development tasks. Built with a native Rust engine and designed for Windows, macOS, and Linux, omp helps developers build, debug, and maintain software.Starting Price: Free -
34
Void Editor
Void Editor
Void is an open source AI code editor and Cursor alternative built as a fork of VS Code, enabling developers to write code with advanced AI assistance while retaining full control over their data. It supports seamless integration with any large language model, such as DeepSeek, Llama, Qwen, Gemini, Claude, and Grok, connecting directly without routing through a private backend. Core features include tab‑triggered autocomplete, inline quick edit, and a versatile AI chat interface offering normal chat, a restricted gather mode for read/search-only tasks, and an agent mode that automates file and folder operations, terminal commands, and MCP tool access. Void delivers high‑performance operations, including fast apply on files with thousands of lines, alongside checkpoint management for model updates, native tool execution, and lint error detection. Developers can transfer all themes, keybindings, and settings from VS Code in one click and host models locally or via the cloud.Starting Price: Free -
35
Wafer
Wafer
Wafer delivers the fastest open source LLMs for enterprise through serverless and dedicated inference built for production AI workloads. Its serverless inference gives teams access to top open models with no infrastructure, no deployment overhead, and fast APIs, including GLM-5.2-Fast for low-latency inference with EAGLE speculative decoding and a per-stream throughput SLA, GLM-5.2 as a flagship model with stronger coding and reasoning capabilities, and more. Wafer’s technology uses agents that optimize inference across the stack, identifying and enhancing bottlenecks in orchestration, algorithms, serving engines, GPU kernels, and diverse hardware. It profiles the stack to see whether latency or throughput comes from scheduling, decoding, kernels, memory pressure, or hardware fit, then tries many paths and ships the measured winner. Instead of relying on a single switch or heuristic, Wafer searches model, engine, kernel, and hardware combinations.Starting Price: Free -
36
BaseRT
Base Compute
BaseRT is a high-performance LLM inference runtime for Apple Silicon that lets developers pull models from Hugging Face, chat with them locally, or serve an OpenAI-compatible API from one CLI. Accelerated by hand-written Metal kernels, it is designed to deliver fast prefill and decode performance on M-series Macs, with published benchmarks showing up to 6.4× faster prefill than llama.cpp, 3.9× faster than MLX, and up to 1.33× faster decode. The basert CLI handles model downloading, conversion, interactive chat, serving, completion, benchmarking, inspection, and bundle signing. Its server supports chat, completions, embeddings, transcription, tool calls, continuous batching, paged KV caching, and prefix caching, while supported models can process text, vision, and audio. BaseRT uses its own .base model format with Q2–Q8 affine quantization, optional AWQ calibration, and signed bundles, and can convert GGUF, Hugging Face, and MLX checkpoints. -
37
NanoGPT
NanoGPT
NanoGPT is private pay-per-use AI for every workflow, giving users access to chat, image, video, audio, speech, and embedding models from one platform. It is built to reduce friction for people who want access to strong models without managing many subscriptions or provider accounts, while keeping conversation history local by default and offering private options for sensitive use. NanoGPT brings together models from major providers such as ChatGPT, Claude, Gemini, DeepSeek, Llama, DALL-E, Stable Diffusion, Flux, Recraft, and more, so users can switch between tools depending on the task. It supports conversations, coding, creative writing, image generation, video generation, audio creation, text-to-speech, web search, file uploads, and model comparison in the same interface. Its model pages let users browse and discover AI language models for conversations, coding, and creative writing, as well as image models for creative projects. -
38
ByteDance Seed
ByteDance
Seed Diffusion Preview is a large-scale, code-focused language model that uses discrete-state diffusion to generate code non-sequentially, achieving dramatically faster inference without sacrificing quality by decoupling generation from the token-by-token bottleneck of autoregressive models. It combines a two-stage curriculum, mask-based corruption followed by edit-based augmentation, to robustly train a standard dense Transformer, striking a balance between speed and accuracy and avoiding shortcuts like carry-over unmasking to preserve principled density estimation. The model delivers an inference speed of 2,146 tokens/sec on H20 GPUs, outperforming contemporary diffusion baselines while matching or exceeding their accuracy on standard code benchmarks, including editing tasks, thereby establishing a new speed-quality Pareto frontier and demonstrating discrete diffusion’s practical viability for real-world code generation.Starting Price: Free -
39
Koi Editor
Hackerman, Inc.
Koi Editor is a fast, minimal, scriptable code and text editor for macOS, designed around low typing latency, large-file performance, and local workflows. Koi provides multi-cursor editing, multiple synchronized views of the same document, project-wide search, file and buffer navigation, syntax highlighting, code completion, configurable themes and keybindings, and extensive text-editing commands. The editor is designed to remain responsive with large source files, logs, and structured text, and has been tested with files containing tens of millions of lines while retaining syntax highlighting and core editing functionality. Optional AI features support local models through Ollama for code completion and inline assistance. Koi can operate entirely offline, requires no account, and includes no telemetry. Koi is built specifically for Apple Silicon Macs and combines a custom editing engine with native macOS integration.Starting Price: $195, one-time -
40
StableCode
Stability AI
StableCode offers a unique way for developers to become more efficient by using three different models to help in their coding. The base model was first trained on a diverse set of programming languages from the stack-dataset (v1.2) from BigCode and then trained further with popular languages like Python, Go, Java, Javascript, C, markdown and C++. In total, we trained our models on 560B tokens of code on our HPC cluster. After the base model had been established, the instruction model was then tuned for specific use cases to help solve complex programming tasks. ~120,000 code instruction/response pairs in Alpaca format were trained on the base model to achieve this result. StableCode is the ideal building block for those wanting to learn more about coding, and the long-context window model is the perfect assistant to ensure single and multiple-line autocomplete suggestions are available for the user. This model is built to handle a lot more code at once. -
41
Antalogy
Antalogy
Antalogy is a Markdown processor that behaves like a traditional word processor with Word-like Ribbon. You type normally, the UI stays out of the way, and it saves clean Markdown underneath. - 100% Local-First Documents: Your files stay strictly on your device. No cloud syncing, zero telemetry, and absolutely no document format lock-in. - Word .docx Import: One-click conversion from .docx to .md while preserving tables, lists, and converting embedded images to PNG. - Native Mermaid Diagrams + AI Generation: Fully supports Mermaid syntax for rendering data visualizations and charts directly from text. The integrated AI Assistant can scan your document's text/data and automatically write the structural Mermaid code to generate precise visual flowcharts and architecture diagrams on the fly. - AI Assistant for Bring Your Own LLM: It connects via any OpenAI-compatible API to your own local quantized LLMs with LMStudio/Ollama/... , private cloud, or on-prem inference servers.Starting Price: 0 -
42
Note67
Note67
Note67 is a privacy-centric meeting assistant designed for professionals who demand total control over their data. Unlike traditional transcription tools that rely on cloud processing, Note67 is an open-source, local-first application for macOS that captures audio, transcribes speech, and generates intelligent summaries entirely on your device. No audio or text ever leaves your machine, ensuring zero data leakage. Built with performance and security in mind, the application leverages the power of Rust and Tauri to deliver a lightweight, native experience. It integrates seamless local AI capabilities, utilizing Whisper for high-accuracy speech-to-text and Ollama for generating insightful meeting summaries using local Large Language Models (LLMs). Key Features: 100% Local Processing: Powered by on-device Whisper models, ensuring your audio and transcripts remain completely private. -
43
Qwen3.8-Omni-Flash
Alibaba
Qwen3.8-Omni-Flash is a next-generation native omnimodal model designed to strengthen agent capabilities in real-world productivity scenarios, advancing from understanding multimodal content to planning tasks, calling tools, and completing creative work. Built on the Qwen3.8-Flash-Next architecture, it accepts text, image, audio, and video inputs with a context window of up to 1 million tokens while maintaining strong text performance. Beyond coding, knowledge work, and GUI interaction, it extends agentic workflows centered on audio and video, including video editing, music video creation, film production and commentary, audiovisual summarization, and real-time conversations. The model improves long-form audio and audiovisual understanding through controllable descriptions, agentic evidence gathering, meeting understanding, and video-centered deep research. Users can specify the subject, time range, level of detail, and output format for video analysis, enabling overviews, etc. -
44
Agno
Agno
Agno is a lightweight framework for building agents with memory, knowledge, tools, and reasoning. Developers use Agno to build reasoning agents, multimodal agents, teams of agents, and agentic workflows. Agno also provides a beautiful UI to chat with agents and tools to monitor and evaluate their performance. It is model-agnostic, providing a unified interface to over 23 model providers, with no lock-in. Agents instantiate in approximately 2μs on average (10,000x faster than LangGraph) and use about 3.75KiB memory on average (50x less than LangGraph). Agno supports reasoning as a first-class citizen, allowing agents to "think" and "analyze" using reasoning models, ReasoningTools, or a custom CoT+Tool-use approach. Agents are natively multimodal and capable of processing text, image, audio, and video inputs and outputs. The framework offers an advanced multi-agent architecture with three modes, route, collaborate, and coordinate.Starting Price: Free -
45
Repo Prompt
Repo Prompt
Repo Prompt is a macOS-native AI coding assistant and context engineering tool that helps developers interact with, refine, and modify codebases using large language models by letting users select specific files or folders, build structured prompts with exactly the relevant context, and review and apply AI-generated code changes as diffs rather than rewriting entire files, ensuring precise, auditable modifications. It provides a visual file explorer for project navigation, an intelligent context builder, and CodeMaps that reduce token usage and help models understand project structure, and multi-model support so users can bring their own API keys for providers like OpenAI, Anthropic, Gemini, Azure, or others, keeping all processing local and private unless the user explicitly sends code to an LLM. Repo Prompt works as both a standalone chat/workflow interface and an MCP (Model Context Protocol) server for integration with AI editors.Starting Price: $14.99 per month -
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LocalChat.app
LocalChat.app
LocalChat is a local-first desktop AI application for macOS that lets you chat with over 300 open-source AI models - completely offline, with zero data collection, and no account required. Built natively for Apple Silicon (M1-M6), LocalChat delivers fast, private AI conversations without ever sending a single byte of data to the cloud. Pay once, own it forever - no subscriptions, no recurring fees. Key Features - Chat with Documents: Attach PDF, XLS, PPT, DOC, etc and ask AI to summarize - Retrieval Augmented Generation (RAG) Support: Index multiple documents and ask questions Benefits - No Subscriptions: One-time payment of just 49$ - End-to-End Privacy: Zero cloud servers. Zero data collection. Zero tracking. Conversations are processed and stored locally on your Mac. - New Models Added every month: We keep up with latest AI models so you don't have to, we suggest what model to use for which tasksStarting Price: $50 Lifetime -
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GPT‑Realtime‑Whisper
OpenAI
GPT-Realtime-Whisper is OpenAI’s streaming transcription model built for low-latency speech-to-text experiences in live products. It transcribes audio as people speak, helping voice-enabled apps feel faster, more responsive, and more natural, from captions that appear in the moment to meeting notes that keep up with the conversation. It makes live speech usable inside business workflows as it happens, so teams can power captions for meetings, classrooms, broadcasts, and events, generate notes and summaries while conversations are still in progress, build voice agents that need to understand users continuously, and create faster follow-up workflows for high-volume spoken interactions. It is part of a new generation of real-time voice models in the API that can reason, translate, and transcribe as people speak, moving real-time audio beyond simple call-and-response toward voice interfaces that can listen, translate, transcribe, and take action as a conversation unfolds.Starting Price: $0.017 per minute -
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Runway Dev
Runway AI
Runway Dev is the AI media platform for developers; one API to integrate advanced image, video, audio, and real-time character models into production products. Built for professional developers and enterprise teams, it is designed to ship fast with frontier models, custom workflows, and the security and reliability controls required for real product experiences. Runway Dev gives developers first-party access to Runway models such as Gen-4.5, Aleph 2.0, and Act-Two, alongside third-party models including Seedance, GPT Image 2, and ElevenLabs, with new models available on day zero and model switching handled by changing one line of code. Recipes provide pre-built endpoints for specific creative outcomes, packaging Runway’s prompting and workflow expertise into a single API call for outputs like ad localization, product ads, product swaps, multi-shot videos, and marketing stock images.Starting Price: $12 per month -
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Cogniflow
Cogniflow
Classify customer interactions, extract info from text or images, identify and count objects in images or video, or even transcribe audio. Just follow a few easy steps to train a custom model or use our pre-trained AI models ready to use. Connect any app or program to your AI models using an API-ready service, or use our add-ons for Excel or Google Sheets. Train and predict from text, image/video or audio. Full native support for Spanish, Portuguese and English. Add intention recognition to your conversations, detect emotions or let your bot reply from a question-answering system built using Cogniflow. Support tickets could be automatically classified from email. Reply and solve your customer problems better and faster. Transcribe your client calls to check for compliance, identify sentiment and highlight key parts of the conversation.Starting Price: $40 per month -
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Qwen3-Omni
Alibaba
Qwen3-Omni is a natively end-to-end multilingual omni-modal foundation model that processes text, images, audio, and video and delivers real-time streaming responses in text and natural speech. It uses a Thinker-Talker architecture with a Mixture-of-Experts (MoE) design, early text-first pretraining, and mixed multimodal training to support strong performance across all modalities without sacrificing text or image quality. The model supports 119 text languages, 19 speech input languages, and 10 speech output languages. It achieves state-of-the-art results: across 36 audio and audio-visual benchmarks, it hits open-source SOTA on 32 and overall SOTA on 22, outperforming or matching strong closed-source models such as Gemini-2.5 Pro and GPT-4o. To reduce latency, especially in audio/video streaming, Talker predicts discrete speech codecs via a multi-codebook scheme and replaces heavier diffusion approaches.
