Alternatives to Twigg
Compare Twigg alternatives for your business or organization using the curated list below. SourceForge ranks the best alternatives to Twigg in 2026. Compare features, ratings, user reviews, pricing, and more from Twigg competitors and alternatives in order to make an informed decision for your business.
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1
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) -
2
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) -
3
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 -
4
Flowacts
Flowacts
Flowacts is a shared AI canvas where individuals, teams, and AI build together without losing context inside private chat threads. It turns prompts into interactive workspaces where sources, notes, prompts, AI outputs, claims, branches, decisions, and conclusions remain visually connected, making the path from research to final answer clear at a glance. Teams can select any node, branch, group, or generated result as the starting point for the next action instead of rewriting prompts to rebuild context. A source can become a summary, a summary can become a table, and a research branch can become slides or a final brief while every new artifact stays tied to the context that produced it. Flowacts supports documents, tables, slides, mind maps, charts, flowcharts, timelines, images, research maps, strategy plans, and multi-step project canvases. Every output is editable, so users can refine blocks, regenerate sections, reorganize the structure, or continue building.Starting Price: $15.90 per month -
5
mindmap.io
mindmap.io
Mindmap.io is a mindmapping software where nodes can be prompts. It replaces the linear chat log with a canvas where every node is a live AI conversation you can branch from, so the structure of your thinking stays visible and reusable. Run ChatGPT, Claude, Gemini, Grok, DeepSeek or Kimi per node and compare answers side by side. Let AI expand a part of your mindmap by asking follow up questions on your behalf, the built-in agent Milo reads and edits the map for you, and prompt nodes can search the web with sources. Semantic zoom with AI-generated summaries allow you to see the big picture in your mindmap. Attach images and PDFs as context. Publish a map as a link or embed it live in any page. Export to PNG and Markdown. You can also use mindmap.io's MCP or Claude plugin to have your own Codex or Claude agents build mindmaps for you. Useful for roadmaps, studying, creative work, competitive analysis, system design, postmortems and research.Starting Price: $7/month/user -
6
LiveContext
LiveContext
LiveContext is an AI workflow and agent platform. Describe a job in chat and the AI builds a workflow you can read: a visual graph of triggers, 1000+ API integrations, tables, decisions, loops and agent steps. The model builds the workflow, it does not run it, so executions are predictable, cheaper in tokens and fully observable. Where you want judgment, add an AI agent node with scoped tools and a spending budget. Workflows power small web apps your team can use, run on schedules, webhooks, forms or chat, and can be called by other agents as tools. Built-in tables store your data, every run is traced node by node, and each agent has its own metrics and credit budget. LiveContext also exposes its workflows, tables and integrations as an MCP server. Available as a cloud service with a free plan, and as a self-hosted Community Edition (source-available, LiveContext Sustainable Use License). -
7
Qwen3.8-Flash-Next
Alibaba
Qwen3.8-Flash-Next is an open-weight multimodal Mixture-of-Experts model and an early preview of the architecture planned for Qwen4. It systematically upgrades attention, residual connections, embeddings, and optimization to improve capability, computational efficiency, model capacity, and training stability. Its hybrid architecture combines Gated DeltaNet, which efficiently compresses historical information, with Qwen Sparse Attention, which selects important context at the micro-block level to reduce attention and indexing costs on long sequences. Gated Residual widens the residual stream into four branches and dynamically controls information flow across layers, while N-gram Embedding adds large-scale local-pattern memory with very little extra per-token computation and can be offloaded to host memory. The model uses a 125B-parameter main network plus 51B N-gram embedding parameters, while activating only 6B parameters per token.Starting Price: $2 per 1M (input) -
8
Entire
Entire
Entire is a developer platform that integrates deeply with your Git workflow to capture and preserve AI agent sessions alongside your code, making the context of AI-assisted development transparent, searchable, and shareable. Every time you commit, Entire’s CLI hooks into Git to automatically record comprehensive session data, including transcripts, prompts, files changed, token usage, and tool calls, as versioned checkpoints that link directly to Git commits, helping developers understand how and why AI-generated code was produced. These checkpoints become first-class, permanent data stored in special Git branches so team members can review AI interactions during code reviews, recall decision context, trace history, and collaborate more effectively. Entire’s model ensures AI sessions aren’t ephemeral but become part of a project’s source context, searchable and explainable through tooling that helps teams rewind, analyze, and share workflows the same way they manage code.Starting Price: Free -
9
Thoughtflow
Redsprint Ltd
Thoughtflow is an innovative AI chat assistant developed by Redsprint Ltd., designed to enhance interactions with GPT models through a tree-based conversation format. This structure allows users to manage and explore complex topics intuitively and organizedly. Traditional linear chats can make it challenging to revisit ideas or explore multiple directions without losing track of the conversation. Thoughtflow addresses this by enabling users to branch off at any point, facilitating the exploration of alternative paths and focusing on areas of interest. Whether you're a student, thinker, creator, or innovator, Thoughtflow's structured approach empowers you to dive deeper, compare insights, and unlock new possibilities. Key features include a tree-based dialog structure for visualizing and organizing conversations and flexible integration with preferred GPT models (such as using Ollama locally on Mac or OpenAI via your own API key).Starting Price: Free -
10
Houdini
SideFX
Houdini is built from the ground up to be a procedural system that empowers artists to work freely, create multiple iterations and rapidly share workflows with colleagues. In Houdini, every action is stored in a node. These nodes are then “wired” into networks which define a “recipe” that can be tweaked to refine the outcome then repeated to create similar yet unique results. The ability for nodes to be saved and to pass information, in the form of attributes, down the chain is what gives Houdini its procedural nature. While the nodes are what makes Houdini unique and give it power, there are lots of viewport and shelf tools that allow for artist-friendly viewport interactions. Behind the scenes, Houdini builds up the nodes and networks for you. Houdini lets artists explore different creative paths because it is easy to branch off a new node to explore alternative solutions. -
11
YeeroAI
YeeroAI
YeeroAI is an AI knowledge platform where chats become knowledge and thinking branches. Every conversation becomes lasting knowledge, helping users explore ideas freely, compare GPT, Claude, Gemini, and more, and build an AI memory that grows smarter over time. Each message acts as a building block of a personal knowledge base, while each branch becomes an extension of the user’s thinking. YeeroAI automatically extracts key knowledge from chats, builds vector indexes, and injects the most relevant context into future conversations, so the knowledge base becomes more useful with every interaction. Its Git-style branch management lets users fork, merge, and rewind lines of thought without losing their way, while multi-model parallel chat makes it possible to ask several top AI models simultaneously and compare answers side by side. It also supports AI app full lifecycle management, allowing users to describe an idea in plain language, generate an HTML app, and refine it through AI.Starting Price: $5 per month -
12
Node.js
Node.js
As an asynchronous event-driven JavaScript runtime, Node.js is designed to build scalable network applications. Upon each connection, the callback is fired, but if there is no work to be done, Node.js will sleep. This is in contrast to today's more common concurrency model, in which OS threads are employed. Thread-based networking is relatively inefficient and very difficult to use. Furthermore, users of Node.js are free from worries of dead-locking the process, since there are no locks. Almost no function in Node.js directly performs I/O, so the process never blocks except when the I/O is performed using synchronous methods of Node.js standard library. Because nothing blocks, scalable systems are very reasonable to develop in Node.js. Node.js is similar in design to, and influenced by, systems like Ruby's Event Machine and Python's Twisted. Node.js takes the event model a bit further. It presents an event loop as a runtime construct instead of as a library.Starting Price: Free -
13
GPT-Realtime-1.5
OpenAI
GPT-Realtime-1.5 is a flagship voice AI model from OpenAI designed for real-time audio interactions and conversational applications. It supports both audio input and output, making it ideal for voice agents and customer support systems. The model delivers fast performance with high responsiveness, enabling natural, real-time conversations. It can process multiple input types, including text, audio, and images, while generating both text and audio responses. With a 32,000-token context window, it can handle extended conversations and maintain context effectively. The model is optimized for high-performance use cases where speed and accuracy are critical. It also supports function calling, allowing integration with external tools and workflows. Overall, it provides a powerful solution for building interactive, real-time voice applications.Starting Price: $4.00 per 1M tokens (input) -
14
LongCat-2.0
LongCat
LongCat-2.0 is a 1.6 trillion total-parameter Mixture-of-Experts language model built on AI ASIC superpods, with about 48 billion parameters activated per token and strong performance across coding and agentic tasks. It is a substantial step up from previous LongCat models, combining large-scale sparse architecture with dedicated post-training for real-world software engineering, tool use, long-context reasoning, and multi-step agent workflows. LongCat-2.0 is trained and deployed entirely on AI ASIC superpods, with pretraining spanning more than 35 trillion tokens and millions of accelerator-hours, demonstrating frontier-scale training on alternative hardware platforms. To strengthen long-horizon tasks, the model introduces LongCat Sparse Attention and is trained on hundreds of billions of tokens of 1M-context data, giving it native support for ultra-long context tasks and reliable long-document understanding. -
15
EffectCraft
ArtCraft
EffectCraft is a node-based visual-effects (VFX) and motion-graphics application for creating procedural effects and compositing work. Artists can connect effect nodes, arrange layers, adjust parameters, and preview output in a graph editor. The application supports 2D compositing and motion-graphics workflows, with timeline and keyframe controls, reusable effects and templates, and project rendering and export. EffectCraft offers a browser build as well as downloadable desktop builds for Windows, macOS, and Linux; its processing is designed to run on the user's machine rather than through a hosted rendering service. It is aimed at independent creators, motion designers, video editors, and VFX artists exploring node-based workflows. A JSON control interface and Model Context Protocol (MCP) server enable compatible tools to interact with the application. The project is described as alpha-stage software, so features and workflows may change between releases.Starting Price: $0 -
16
Qwen Code
Qwen
Qwen3‑Coder is an agentic code model available in multiple sizes, led by the 480B‑parameter Mixture‑of‑Experts variant (35B active) that natively supports 256K‑token contexts (extendable to 1M) and achieves state‑of‑the‑art results on Agentic Coding, Browser‑Use, and Tool‑Use tasks comparable to Claude Sonnet 4. Pre‑training on 7.5T tokens (70 % code) and synthetic data cleaned via Qwen2.5‑Coder optimized both coding proficiency and general abilities, while post‑training employs large‑scale, execution‑driven reinforcement learning and long‑horizon RL across 20,000 parallel environments to excel on multi‑turn software‑engineering benchmarks like SWE‑Bench Verified without test‑time scaling. Alongside the model, the open source Qwen Code CLI (forked from Gemini Code) unleashes Qwen3‑Coder in agentic workflows with customized prompts, function calling protocols, and seamless integration with Node.js, OpenAI SDKs, and more.Starting Price: Free -
17
Qwen3-Coder
Qwen
Qwen3‑Coder is an agentic code model available in multiple sizes, led by the 480B‑parameter Mixture‑of‑Experts variant (35B active) that natively supports 256K‑token contexts (extendable to 1M) and achieves state‑of‑the‑art results comparable to Claude Sonnet 4. Pre‑training on 7.5T tokens (70 % code) and synthetic data cleaned via Qwen2.5‑Coder optimized both coding proficiency and general abilities, while post‑training employs large‑scale, execution‑driven reinforcement learning, scaling test‑case generation for diverse coding challenges, and long‑horizon RL across 20,000 parallel environments to excel on multi‑turn software‑engineering benchmarks like SWE‑Bench Verified without test‑time scaling. Alongside the model, the open source Qwen Code CLI (forked from Gemini Code) unleashes Qwen3‑Coder in agentic workflows with customized prompts, function calling protocols, and seamless integration with Node.js, OpenAI SDKs, and environment variables.Starting Price: Free -
18
Microsoft Agent Framework
Microsoft
Microsoft Agent Framework is an open source SDK and runtime designed to help developers build, orchestrate, and deploy AI agents and multi-agent workflows using languages such as .NET and Python. It combines the simple agent abstractions of AutoGen with the enterprise-grade capabilities of Semantic Kernel, including session-based state management, type safety, middleware, telemetry, and broad model and embedding support, creating a unified platform for both experimentation and production use. It introduces graph-based workflows that give developers explicit control over how multiple agents interact, execute tasks, and coordinate complex processes, enabling structured orchestration across sequential, concurrent, or branching scenarios. It supports long-running and human-in-the-loop workflows through robust state management, allowing agents to maintain context, reason through multi-step problems, and operate continuously over time.Starting Price: Free -
19
WorkForm
WorkForm
WorkForm is the only context aware form builder with visual workflow control. Build intelligent forms that branch, adapt, A/B test, and validate in real-time. Perfect for businesses that want complete control over their user journey — no code required.Starting Price: $0 -
20
GLM-5V-Turbo
Z.ai
GLM-5V-Turbo is a multimodal coding foundation model designed for vision-based coding tasks, capable of natively processing inputs such as images, video, text, and files while producing text outputs. It is optimized for agent workflows, enabling a full loop of understanding environments, planning actions, and executing tasks, and integrates seamlessly with agent frameworks like Claude Code and OpenClaw. It supports long-context interactions with a context length of 200K tokens and up to 128K output tokens, making it suitable for complex, long-horizon tasks. It offers multiple thinking modes for different scenarios, strong vision comprehension across images and video, real-time streaming output for improved interaction, and advanced function-calling capabilities for integrating external tools. It also includes context caching to enhance performance in extended conversations. In practical use, it can reconstruct frontend projects from design mockups. -
21
condense.chat
condense.chat
condense.chat is an LLM input compression API and drop-in proxy that shrinks prompts, retrieved documents, tool outputs, and repeated agent context before they hit upstream models. Less context, same Claude Code; its harness intercepts an agent’s growing session history and passes it through compression models before it reaches the main model, helping long-running coding agents start each next turn with fewer tokens. Condense sits between an app and the upstream LLM provider, tracks the conversation as a content-addressed chain, and transparently compresses repeated context on the way upstream. Developers can point their SDK at the Condense provider route, add a Condense key, keep their existing provider key, and change nothing else. It supports Anthropic and OpenAI-compatible routes, plus pass-through behavior for other provider paths such as model lists and embeddings. -
22
Auggie CLI
Augment Code
Auggie CLI brings Augment’s intelligent coding agent directly into your terminal by leveraging its powerful context engine to analyze code, make edits, and execute tools both interactively and within automated workflows. Developers can install it via npm (requiring Node.js 22+ and a compatible shell), then launch a full-screen interactive session using auggie, complete with real-time streaming, visual progress, and conversational tooling, for debugging, feature development, PR review, or triaging alerts. For automation, Auggie offers streamlined modes ideal for CI/CD pipelines and background tasks. The CLI also supports custom slash commands for repeatable workflows, integrates with external tools and systems via native integrations and Model Context Protocol (MCP) servers, and can be scripted in pipelines or GitHub Actions for tasks like auto-generating PR descriptions. -
23
StateFabric
J Gregory Technology Ltd.
StateFabric a small infrastructure layer for AI agents that need more context than chat history. Once an agent starts using tools, running for longer sessions between restarts, ‘keep the messages in memory’ doesn’t really cut it. You need to know: - what happened? - what state changed? - which tools were called? - what context should go into the next model turn? StateFabric stores an append-only event log for agent runs, then derives working context from it. Today it supports: - Durable sessions and event storage - User/model/tool event timelines - Reconstructed session state from stored events - Compacted model-facing context - A dashboard for inspecting sessions, raw payloads, compaction artefacts, and usage - Google ADK integration via @statefabric/adk - Direct Node/REST usage via @statefabric/client (for custom runtimes)Starting Price: £10/month -
24
Questas
Questas
Questas is an online platform that allows users to build immersive, choose-your-own-adventure style interactive stories using AI-generated images and videos. Its intuitive visual editor makes it possible for anyone, even without coding or design skills, to construct complex branching narratives quickly; you describe a scene or concept, and Questas generates corresponding AI art or video, enabling you to flesh out interactive stories where every decision creates a different path. You can build unlimited “story trees,” each with unlimited branching, and enrich each node with rich media so that the story unfolds with vivid visuals. The design is streamlined, and the editor lets you create, rearrange, or remove “nodes” or narrative choices easily, making narrative design as simple as editing a diagram. In addition to creating your own adventures, you can explore a community library of curated adventures made by other creators.Starting Price: $0.10 per credit -
25
Intrascope
Intrascope
Intrascope is a BYOK team chat workspace for using multiple LLMs (GPT, Claude, DeepSeek, etc.) in one place, with shared persistent context called “Manifests”. Instead of prompts and decisions living in personal chat histories, teams keep reusable project context (docs, guidelines, tone, requirements) so outputs stay consistent and knowledge doesn’t disappear when someone leaves. Connect your own API keys, pay per usage (not per seat), and control which models get used per project.Starting Price: $39 month / $299 one-time -
26
Chord
Chord
Chord is a collaborative chat platform that integrates teammates and AI language models in shared, context-rich conversations. It enables users to invite colleagues and one or more LLMs into the same chat thread, eliminating the need to copy and paste responses or links, just create a chat room, add participants and models, and converse seamlessly with human and AI collaborators. Ideal for collaborative brainstorming, instant feedback, coding help, research support, or group decision-making, Chord preserves message history and context across interactions, fostering smooth, real-time teamwork. -
27
Dework
Dework
Web3-native project management with token payments, credentialing, and bounties. Create bounties for contributors, let contributors build their web3 profile, and pay with your own DAO token. Clearly communicate your project roadmap and what work needs to be done. Share context on ongoing initiatives and make it easy to involve new and existing contributors. Let your community apply to tasks. Easily view their profile and work history before assigning them. Gate access using Discord roles or token holdings. Add bounties to tasks and pay them directly through Dework. Connect your Gnosis Safe and batch pay bounties to save on gas fees. Pay with any on-chain token, including your DAO native token. Discuss Dework tasks in Discord threads, notify members when new bounties are available, and more. Dework syncs Github issues, branches, and pull requests with Dework tasks. Dework works with Gnosis Safe, Metamask, Wallet Connect, Phantom, and more. -
28
Mistral Large 2
Mistral AI
Mistral AI has launched the Mistral Large 2, an advanced AI model designed to excel in code generation, multilingual capabilities, and complex reasoning tasks. The model features a 128k context window, supporting dozens of languages including English, French, Spanish, and Arabic, as well as over 80 programming languages. Mistral Large 2 is tailored for high-throughput single-node inference, making it ideal for large-context applications. Its improved performance on benchmarks like MMLU and its enhanced code generation and reasoning abilities ensure accuracy and efficiency. The model also incorporates better function calling and retrieval, supporting complex business applications.Starting Price: Free -
29
ZenLLM
ZenLLM
ZenLLM is an AI cost optimization platform for engineering teams running LLM applications in production. It connects provider invoices to the application behavior behind them, showing which prompts, workflows, models, customers, retries, and request paths are driving spend. Teams send request-level telemetry through the ZenLLM SDK and can attach business context such as workflow, owner, customer, team, or product feature without storing prompt or response content. It monitors token usage, model selection, latency, errors, retries, and cost, then surfaces the waste patterns hidden by aggregate provider dashboards. It detects context accumulation when conversations or agents resend growing histories, premium-model overuse on low-risk work, retry loops that repeat expensive context, stale system prompts, routing mistakes, anomalies, and weak cost ownership.Starting Price: $49 per month -
30
Tlon Messenger
Tlon
Tlon Messenger is a messenger and personal AI agent experience built around the idea that the tools closest to your life should belong to you. It runs on a personal server that is yours forever, so messages, groups, identity, and data live on your server rather than on Tlon’s infrastructure. Every account includes Tlonbot, an OpenClaw-powered AI agent that works inside Tlon Messenger, learns workflows and preferences, and augments conversations without giving personal context away to another giant company. Tlonbot can join group chats, answer questions, search the web, manage groups, remember context, schedule tasks, help with reminders, support games and trivia, and act as a private confidant or shared assistant. Everyone in a group chat can use it, making the agent part of the conversation instead of a separate app. Tlonbot’s memories live on the user’s server, and its own node is tied to the user’s node, with a dedicated server and cryptographic identity.Starting Price: Free -
31
Sarvam 105B
Sarvam
Sarvam-105B is the flagship large language model in Sarvam’s open source model family, designed to deliver high-performance reasoning, multilingual understanding, and agent-based execution within a single scalable system. Built as a Mixture-of-Experts (MoE) model with approximately 105 billion total parameters, of which only a fraction are activated per token, it achieves strong computational efficiency while maintaining high capability across complex tasks. The model is optimized for advanced reasoning, coding, mathematics, and agentic workflows, making it suitable for tasks that require multi-step problem solving and structured outputs rather than simple conversational responses. Sarvam-105B supports long-context processing of up to around 128K tokens, enabling it to handle large documents, extended conversations, and deep analytical queries without losing coherence.Starting Price: Free -
32
Okara
Okara
Okara is a privacy-first AI workspace and private chat platform that lets professionals interact with 20+ powerful open source AI language and image models in one unified environment without losing context as you switch between models, conduct research, generate content, or analyze documents. All conversations, uploads (PDF, DOCX, spreadsheets, images), and workspace memory are encrypted at rest, processed on privately hosted open-source models, and never used for AI training or shared with third parties, giving users full data control with client-side key generation and true deletion. Okara combines secure, encrypted AI chat with integrated real-time web, Reddit, X/Twitter, and YouTube search tools, unified memory across models, and image generation, letting users weave live information and visuals into workflows while protecting sensitive or confidential data. It also supports shared team workspaces, enabling collaborative AI threads and shared context for groups like startups.Starting Price: $20 per month -
33
EidoStack
EidoStack
EidoStack is a browser-based workspace for AI engineers to interact with, evaluate, compare, and select the right AI models before production. Use AI models for everyday conversations and development tasks, test the same prompts across different models, compare responses side by side, and analyze token usage, estimated costs, performance, and context behavior. EidoStack provides configurable system prompts, context strategies, chat history, model comparison, and usage analytics, helping developers work with multiple AI models and make informed decisions about which model best fits their application.Starting Price: $10/month -
34
Slock
Botiverse
Slock is a real-time collaboration platform built around an “agent-native” approach, where AI agents are treated as full participants in the workspace rather than external tools. It provides familiar collaboration structures such as channels, direct messages, and threads, but redefines them so that both humans and AI agents operate within the same conversation layer, with no need for context switching or copying information between systems. Agents are persistent entities that live inside these channels, continuously observing messages, responding naturally, and retaining memory across sessions, allowing them to maintain long-term context and contribute meaningfully over time. A key aspect of the platform is its execution model, which runs locally on the user’s own machine through a lightweight daemon, giving users full control over compute and ensuring that sensitive data does not leave their environment.Starting Price: Free -
35
Msty
Msty
Chat with any AI model in a single click. No prior model setup experience is needed. Msty is designed to function seamlessly offline, ensuring reliability and privacy. For added flexibility, it also supports popular online model vendors, giving you the best of both worlds. Revolutionize your research with split chats. Compare and contrast multiple AI models' responses in real time, streamlining your workflow and uncovering new insights. Msty puts you in the driver's seat. Take your conversations wherever you want, and stop whenever you're satisfied. Replace an existing answer or create and iterate through several conversation branches. Delete branches that don't sound quite right. With delve mode, every response becomes a gateway to new knowledge, waiting to be discovered. Click on a keyword, and embark on a journey of discovery. Leverage Msty's split chat feature to move your desired conversation branches into a new split chat or a new chat session.Starting Price: $50 per year -
36
LTM-2-mini
Magic AI
LTM-2-mini is a 100M token context model: LTM-2-mini. 100M tokens equals ~10 million lines of code or ~750 novels. For each decoded token, LTM-2-mini’s sequence-dimension algorithm is roughly 1000x cheaper than the attention mechanism in Llama 3.1 405B1 for a 100M token context window. The contrast in memory requirements is even larger – running Llama 3.1 405B with a 100M token context requires 638 H100s per user just to store a single 100M token KV cache.2 In contrast, LTM requires a small fraction of a single H100’s HBM per user for the same context. -
37
TestMace
TestMace
Test Mace is a modern powerful crossplatform tool for working with an API and creating automated API tests. Create requests and scenarios using variables, authentication, autocomplete feature and syntax highlighting. Build complex scenarios using our convenient and simple UI interface. Perform full regression testing with just one click. Assign a request result to a variable and get access from other nodes. Save authorization tokens, response headers or parts of a response body. Run your scenarios in different environment contexts. Use this to organize development, stage and production environments. Embedded authentication methods will help you to do authentication if you use one of the most popular types. You can use quick share feature to share your request with colleagues. Just press a button to copy a specific node's url. All that you need now is to send this url to your teammate.Starting Price: $4 per month -
38
Ling 3.0 Flash
Ant Group
Ling 3.0 Flash is a next-generation efficient language model designed for long-horizon agent workflows, combining fast response, low activation, and stable tool use. It uses a Mixture-of-Experts architecture with 124 billion total parameters and 5.1 billion activated parameters per token, providing capability while keeping inference efficient. The model supports a native 256K context window that can be extended up to 1 million tokens, with reliable retrieval across information placed at the beginning, middle, or end of long contexts. Compared with the previous Flash model, Ling 3.0 Flash improves stability on extended tasks, tool-calling accuracy, instruction following, compatibility with agent harnesses, and coding performance. Its optimized spatial understanding can construct physical scene grids and reason about relative positions, while hybrid reasoning improves success rates across tasks of varying difficulty. -
39
GPT-4o mini
OpenAI
A small model with superior textual intelligence and multimodal reasoning. GPT-4o mini enables a broad range of tasks with its low cost and latency, such as applications that chain or parallelize multiple model calls (e.g., calling multiple APIs), pass a large volume of context to the model (e.g., full code base or conversation history), or interact with customers through fast, real-time text responses (e.g., customer support chatbots). Today, GPT-4o mini supports text and vision in the API, with support for text, image, video and audio inputs and outputs coming in the future. The model has a context window of 128K tokens, supports up to 16K output tokens per request, and has knowledge up to October 2023. Thanks to the improved tokenizer shared with GPT-4o, handling non-English text is now even more cost effective. -
40
GPT-Realtime-2.1
OpenAI
GPT-Realtime-2.1 is OpenAI’s reasoning model with tool use for low-latency voice agents and complex speech-to-speech workflows. It updates GPT-Realtime-2 with improved alphanumeric recognition, silence and noise handling, and interruption behavior, helping applications understand spoken code, manage imperfect audio, and respond more naturally when users pause or talk over the agent. Developers can configure reasoning effort to balance deeper thinking against latency and output usage, while strong instruction following helps the model stay aligned with a defined role, tone, and workflow. It accepts and produces both audio and text, can take images as input, and supports function calling so an agent can retrieve information or perform actions during a conversation. The model has a 128,000-token context window, supports up to 32,000 output tokens, and includes reasoning-token support for extended interactions.Starting Price: $0.40 per cached input -
41
Tabs Outliner
Tabs Outliner
Tabs Outliner is a fusion of a tabs manager, a session manager, and a tree-like personal information organizer. It also embeds instruments that greatly help reduce open tab count by making it possible to easily annotate and close-save open windows and tabs in their original context. And what’s more important - allow them to work with their saved tabs practically in the same way as with open ones, thus greatly reducing resource usage. It also implements one of the best ways to handle crashed sessions - an unfortunate reality for users with a habit of accumulating hundreds of open tabs. Flexible and fully editable by drag and drop tree - everything can be easily organized in logical hierarchies and delimited groups, unlike in other similar tools every node can be a parent for any other node, and all items can be freely reordered to specify priority or importance.Starting Price: Free -
42
ComfyUI
ComfyUI
ComfyUI is a free and open source node-based application for generative AI, enabling users to build, create, and share without limits. It allows for the extension of functionality through custom nodes, letting users tailor workflows to their specific needs. Designed for performance, ComfyUI runs workflows directly on local machines, offering faster iteration, lower costs, and complete control. The visual interface provides full control by connecting nodes on a canvas, allowing for branching, remixing, and adjusting every part of the workflow at any time. Workflows can be saved, shared, and reused effortlessly, with exported media carrying metadata to instantly rebuild the full workflow. Users can see results in real-time as they adjust workflows, facilitating faster iteration with instant visual feedback. ComfyUI supports the generation of various media types, including images, videos, 3D assets, and audio.Starting Price: Free -
43
MiMo-V2.5-Pro
Xiaomi Technology
Xiaomi MiMo-V2.5-Pro is an advanced open-source AI model designed to handle complex, long-horizon tasks with strong agentic capabilities. It features a Mixture-of-Experts architecture with over one trillion parameters and a large context window of up to one million tokens. The model is built to perform sophisticated reasoning, coding, and problem-solving across extended workflows. It demonstrates high performance on benchmark tests related to software engineering, reasoning, and general intelligence. MiMo-V2.5-Pro can autonomously complete complex projects, such as building full software systems or optimizing engineering designs. It uses hybrid attention mechanisms to balance efficiency and performance across long contexts. The model is also optimized for token efficiency, reducing computational cost while maintaining strong results. By combining scalability, efficiency, and advanced reasoning, MiMo-V2.5-Pro represents a major step forward in open-source AI models. -
44
CodeQwen
Alibaba
CodeQwen is the code version of Qwen, the large language model series developed by the Qwen team, Alibaba Cloud. It is a transformer-based decoder-only language model pre-trained on a large amount of data of codes. Strong code generation capabilities and competitive performance across a series of benchmarks. Supporting long context understanding and generation with the context length of 64K tokens. CodeQwen supports 92 coding languages and provides excellent performance in text-to-SQL, bug fixes, etc. You can just write several lines of code with transformers to chat with CodeQwen. Essentially, we build the tokenizer and the model from pre-trained methods, and we use the generate method to perform chatting with the help of the chat template provided by the tokenizer. We apply the ChatML template for chat models following our previous practice. The model completes the code snippets according to the given prompts, without any additional formatting.Starting Price: Free -
45
Span-01
Respan
Span-01 is a hyper-parallel reasoning classifier built to detect complex behaviors across long production traces in a single forward pass. Rather than generating tokens sequentially, it reasons over natural-language behavior definitions and returns direct probabilities for present, absent, and not_observable. The model is trained for general classification reasoning with RLAIF before being specialized for behavior detection, allowing it to apply previously unseen definitions to new behaviors and domains instead of relying on a fixed taxonomy. At inference time, hyper-parallel definition branches evaluate multiple behaviors against the same trace context simultaneously, while hybrid attention helps preserve reasoning over long, complex inputs. Span-01 is designed for production monitoring across safety, reliability, grounding, agent behavior, and response quality, including jailbreak and prompt injection detection, privacy, and secrets.Starting Price: $199 per month -
46
Command A Reasoning
Cohere AI
Command A Reasoning is Cohere’s most advanced enterprise-ready language model, engineered for high-stakes reasoning tasks and seamless integration into AI agent workflows. The model delivers exceptional reasoning performance, efficiency, and controllability, scaling across multi-GPU setups with support for up to 256,000-token context windows, ideal for handling long documents and multi-step agentic tasks. Organizations can fine-tune output precision and latency through a token budget, allowing a single model to flexibly serve both high-accuracy and high-throughput use cases. It powers Cohere’s North platform with leading benchmark performance and excels in multilingual contexts across 23 languages. Designed with enterprise safety in mind, it balances helpfulness with robust safeguards against harmful outputs. A lightweight deployment option allows running the model securely on a single H100 or A100 GPU, simplifying private, scalable use. -
47
Gedo
GEDO PTE. LTD.
Gedo is a personal AI assistant for people who want help organizing personal knowledge and making progress on their goals. It combines conversational AI with a long-term memory that can organize user-provided details, imported documents, tasks, and personal context for planning and follow-up. Users can review and manage saved memories, control what information is shared, and export or delete their data. Gedo connects with services such as Notion and Todoist, supports Readwise, and provides a permission-controlled memory endpoint for compatible AI and developer tools through Model Context Protocol (MCP). It is available as a browser-based service, iPhone and Android apps, and a macOS desktop app, with information synchronized across clients. A free plan is available, with paid monthly plans for higher usage and additional capabilities.Starting Price: $0 -
48
MiniMax M1
MiniMax
MiniMax‑M1 is a large‑scale hybrid‑attention reasoning model released by MiniMax AI under the Apache 2.0 license. It supports an unprecedented 1 million‑token context window and up to 80,000-token outputs, enabling extended reasoning across long documents. Trained using large‑scale reinforcement learning with a novel CISPO algorithm, MiniMax‑M1 completed full training on 512 H800 GPUs in about three weeks. It achieves state‑of‑the‑art performance on benchmarks in mathematics, coding, software engineering, tool usage, and long‑context understanding, matching or outperforming leading models. Two model variants are available (40K and 80K thinking budgets), with weights and deployment scripts provided via GitHub and Hugging Face. -
49
Qwen3.6-35B-A3B
Alibaba
Qwen3.5-35B-A3B is part of the Qwen3.5 “Medium” model series, designed as a highly efficient, multimodal foundation model that balances strong reasoning ability with practical deployment requirements. It uses a Mixture-of-Experts (MoE) architecture with 35 billion total parameters but activates only about 3 billion per token, allowing it to deliver performance comparable to much larger models while significantly reducing computational cost. The model integrates a hybrid attention mechanism that combines linear attention with standard attention layers, enabling efficient long-context processing and improved scalability for complex tasks. As a native vision-language model, it can process both text and visual inputs, supporting use cases such as multimodal reasoning, coding, and agent-based workflows. It is designed to function as a general-purpose “AI agent,” capable of planning, tool use, and structured problem solving rather than just conversational responses.Starting Price: Free -
50
DeepSeek-OCR
DeepSeek
DeepSeek-OCR is an open source model for Contexts Optical Compression, built to explore the boundaries of visual-text compression and investigate the role of vision encoders from an LLM-centric viewpoint. It is designed to compress long contexts through optical 2D mapping, using DeepEncoder as the core engine and DeepSeek3B-MoE-A570M as the decoder. DeepEncoder maintains low activations under high-resolution input while achieving high compression ratios, keeping the number of vision tokens manageable for document understanding. The model supports OCR and document parsing workflows for images and PDFs, with inference through vLLM or Transformers. Users can run image OCR with streaming output, process PDFs with high concurrency, or run batch evaluation for benchmarks. DeepSeek-OCR can convert documents to Markdown, perform free OCR without layouts, parse figures, describe images in detail, and locate referenced text inside an image.Starting Price: Free
