Alternatives to Pokee-Isaac
Compare Pokee-Isaac alternatives for your business or organization using the curated list below. SourceForge ranks the best alternatives to Pokee-Isaac in 2026. Compare features, ratings, user reviews, pricing, and more from Pokee-Isaac competitors and alternatives in order to make an informed decision for your business.
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1
Nemotron 3 Ultra
NVIDIA
Nemotron 3 Nano is a compact, open large language model in NVIDIA’s Nemotron 3 family, designed for efficient agentic reasoning, conversational AI, and coding tasks. It uses a hybrid Mixture-of-Experts Mamba-Transformer architecture that activates only a small subset of parameters per token, enabling low-latency inference while maintaining strong accuracy and reasoning performance. It has approximately 31.6 billion total parameters with around 3.2 billion active (3.6 billion including embeddings), allowing it to achieve higher accuracy than previous Nemotron 2 Nano while using less computation per forward pass. Nemotron 3 Nano supports long-context processing of up to one million tokens, enabling it to handle large documents, multi-step workflows, and extended reasoning chains in a single pass. It is designed for high-throughput, real-time execution, excelling in multi-turn conversations, tool calling, and agent-based workflows where tasks require planning, reasoning, and more. -
2
Kimi K2.7 Code
Moonshot AI
Kimi K2.7 Code is an open-source, coding-focused agentic AI model developed by Moonshot AI for long-horizon software engineering tasks. It is designed to improve coding performance, agent workflows, and real-world development assistance compared with earlier Kimi K2 versions. The model supports a 256K context window, making it useful for working with large codebases, long technical documents, and complex multi-step programming tasks. Kimi K2.7 Code is available through Kimi Code and API access, with OpenAI- and Anthropic-compatible options for easier integration into developer workflows. It is also listed on Hugging Face and supports deployment through inference engines such as vLLM, SGLang, and KTransformers. With improved agentic capabilities, long-context support, and reduced thinking-token usage compared with K2.6, Kimi K2.7 Code gives developers a flexible open-source option for AI-assisted coding.Starting Price: Free -
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: Free -
4
Pokee AI
Pokee AI
Pokee AI develops cutting-edge foundational AI agents capable of advanced planning, reasoning, and using diverse digital tools. Their proprietary reinforcement learning technology scales effortlessly across thousands of tools and complex workflows, achieving superior accuracy and efficiency cost-effectively. Through automatic integration with platforms like Google Workspace, social media, productivity tools, and many others, users can automate high-level tasks such as content generation (text, images, video, music, voice), social media management (posting, engagement, cross-platform content creation), document processing (intelligent search, slide creation, spreadsheet analysis, PDF and code editing) and marketing automation across multiple channels. With a vision to democratize workflow automation at scale, Pokee AI is built to empower professionals and organizations to streamline digital productivity and shift from manual processes to intelligent autonomous workflows. -
5
Poke
The Interaction Company
Poke is a proactive AI assistant built by The Interaction Company designed to live inside existing messaging platforms (like iMessage, WhatsApp, SMS) rather than asking users to switch to new apps; it integrates with users’ email, calendar, and files to turn messages into action (e.g. drafting replies, rescheduling meetings, paying invoices) through short, conversational bubbles. The experience aims to feel natural; messages are brief, there are typing and read indicators, one-tap actions, and memory of context, so the assistant can behave more like a human conversational partner than a typical chatbot. It focuses on privacy and security, built to meet SOC-2 and CASA Tier-2 standards. Poke recently raised ~$15 million in seed funding, with a valuation of ~$100 million; early adopters (around 6,000 testers) have already been using it heavily in iMessage, sending on average tens of thousands of messages per month. -
6
NVIDIA Isaac
NVIDIA
NVIDIA Isaac is an AI robot development platform that comprises NVIDIA CUDA-accelerated libraries, application frameworks, and AI models to expedite the creation of AI robots, including autonomous mobile robots, robotic arms, and humanoids. The platform features NVIDIA Isaac ROS, a collection of CUDA-accelerated computing packages and AI models built on the open source ROS 2 framework, designed to streamline the development of advanced AI robotics applications. Isaac Manipulator, built on Isaac ROS, enables the development of AI-powered robotic arms that can seamlessly perceive, understand, and interact with their environments. Isaac Perceptor facilitates the rapid development of advanced AMRs capable of operating in unstructured environments like warehouses or factories. For humanoid robotics, NVIDIA Isaac GR00T serves as a research initiative and development platform for general-purpose robot foundation models and data pipelines. -
7
ISAAC
ISAAC Instruments
ISAAC offers in-cab technology that goes far beyond electronic logging devices (ELDs). We partner with fleets to simplify the life of truck drivers and keep the wheels turning. We provide a reliable, comprehensive open platform that allows trucking fleets to integrate all of their business apps on a single device. Our real-time, in-cab coaching supports eco-driving for unparalleled fuel savings and safer driving, while artificial intelligence (AI) technology empowers informed decision-making. ISAAC is the market leader in Canada and has a rapidly growing presence among top-performing trucking fleets across the United States. ISAAC is a proud member of the Allied Committee for the Trucking Industry (ACT 1), an elite group of suppliers committed to industry improvement. Best-in-class fleets partner with ISAAC to achieve even greater heights. Visit ISAAC website to see how we can help simplify your operations. -
8
GLM-5
Zhipu AI
GLM-5 is Z.ai’s latest large language model built for complex systems engineering and long-horizon agentic tasks. It scales significantly beyond GLM-4.5, increasing total parameters and training data while integrating DeepSeek Sparse Attention to reduce deployment costs without sacrificing long-context capacity. The model combines enhanced pre-training with a new asynchronous reinforcement learning infrastructure called slime, improving training efficiency and post-training refinement. GLM-5 achieves best-in-class performance among open-source models across reasoning, coding, and agent benchmarks, narrowing the gap with leading frontier models. It ranks highly on evaluations such as Vending Bench 2, demonstrating strong long-term planning and operational capabilities. The model is open-sourced under the MIT License.Starting Price: Free -
9
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. -
10
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 -
11
NVIDIA Isaac GR00T
NVIDIA
NVIDIA Isaac GR00T (Generalist Robot 00 Technology) is a research-driven platform for developing general-purpose humanoid robot foundation models and data pipelines. It includes models like Isaac GR00T-N, and synthetic motion blueprints, GR00T-Mimic for augmenting demonstrations, and GR00T-Dreams for generating novel synthetic trajectories, to accelerate humanoid robotics development. Recently, the open source Isaac GR00T N1 foundation model debuted, featuring a dual-system cognitive architecture, a fast-reacting “System 1” action model, and a deliberative, language-enabled “System 2” reasoning model. The updated GR00T N1.5 introduces enhancements such as improved vision-language grounding, better language command following, few-shot adaptability, and new robot embodiment support. Together with tools like Isaac Sim, Lab, and Omniverse, GR00T empowers developers to train, simulate, post-train, and deploy adaptable humanoid agents using both real and synthetic data.Starting Price: Free -
12
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 -
13
NVIDIA Isaac Sim
NVIDIA
NVIDIA Isaac Sim is an open source reference robotics simulation application built on NVIDIA Omniverse, enabling developers to design, simulate, test, and train AI-driven robots in physically realistic virtual environments. It is built atop Universal Scene Description (OpenUSD), offering full extensibility so developers can create custom simulators or seamlessly integrate Isaac Sim's capabilities into existing validation pipelines. The platform supports three essential workflows; large-scale synthetic data generation for training foundation models with photorealistic rendering and automatic ground truth labeling; software-in-the-loop testing, which connects actual robot software with simulated hardware to validate control and perception systems; and robot learning through NVIDIA’s Isaac Lab, which accelerates training of behaviors in simulation before real-world deployment. Isaac Sim delivers GPU-accelerated physics (via NVIDIA PhysX) and RTX-enabled sensor simulation.Starting Price: Free -
14
NVIDIA Isaac Lab
NVIDIA
NVIDIA Isaac Lab is a GPU‑accelerated, open source robot learning framework built on top of Isaac Sim, designed to unify and simplify robotics research workflows such as reinforcement learning, imitation learning, and motion planning. It leverages realistic sensor and physics simulation to support accurate training of embodied agents, providing ready‑to‑use environments, spanning manipulators, quadrupeds, and humanoids—with support for 30+ benchmark tasks and integration with popular RL libraries like RL Games, Stable Baselines, RSL RL, and SKRL. Isaac Lab features a modular, configuration‑driven design that enables developers to easily create, modify, and scale learning environments; it also supports collecting demonstrations via peripherals (gamepads, keyboards) and allows custom actuator models to facilitate sim‑to‑real transfer. The framework is built for both local and cloud deployment, accommodating flexible scaling of compute resources.Starting Price: Free -
15
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. -
16
Tailscale
Tailscale
Create a secure network between your servers, computers, and cloud instances. Even when separated by firewalls or subnets, Tailscale just works. A frustratingly complex and brittle collection of firewalls, rules, and holes while wondering if your network is secure enough. Devices connect directly, working from any physical location or networking environment. All without poking holes in your firewall. Devices only connect after signing in through your existing identity provider. Easily enforce multi-factor authentication, deauthorize employees who’ve moved on, and more. Define role-based access controls to restrict sensitive servers or authorize contractors to only see what they need. And every connection is centrally logged from both ends, viewable from a dashboard and logging API.Starting Price: $5 per user per month -
17
EasyJoin
EasyJoin
Easily connect your devices using only your local network and optionally over the Internet. Without the mandatory use of external servers. Without accounts and tracking. Read and send SMS / MMS from your Windows, Mac, and Linux computer. Manage and initiate phone calls from your computer. Make unlimited voice calls for free. Send files and folders to multiple devices fast, accurately and without limitations. Manage the files of a remote device easily and safely. Read, dismiss and reply to all your phone notifications from your PC. Send alarms and pokes to one or all connected devices. Auto-sync the clipboards between your devices. Copy to PC and paste on the phone and vice versa. Maximize the security of your data by creating your own private clipboard. End-to-end encryption when transferring files, making voice calls, sending messages, sharing notifications and synchronizing the clipboard. -
18
Composer 2
Cursor
Composer 2 is an advanced AI coding model integrated into Cursor, designed to deliver high-level programming performance at a cost-efficient price. It is trained on long-horizon coding tasks, enabling it to solve complex problems that require multiple steps and actions. The model demonstrates strong improvements across key benchmarks, including Terminal-Bench and SWE-bench Multilingual. With enhanced intelligence and efficiency, it provides faster and more accurate code generation. Composer 2 combines strong performance with affordable pricing, making it accessible for developers and teams.Starting Price: $0.50/M input -
19
Grok 4.1 Fast
SpaceXAI
Grok 4.1 Fast is an xAI model designed to deliver advanced tool-calling capabilities with a massive 2-million-token context window. It excels at complex real-world tasks such as customer support, finance, troubleshooting, and dynamic agent workflows. The model pairs seamlessly with the new Agent Tools API, which enables real-time web search, X search, file retrieval, and secure code execution. This combination gives developers the power to build fully autonomous, production-grade agents that plan, reason, and use tools effectively. Grok 4.1 Fast is trained with long-horizon reinforcement learning, ensuring stable multi-turn accuracy even across extremely long prompts. With its speed, cost-efficiency, and high benchmark scores, it sets a new standard for scalable enterprise-grade AI agents. -
20
Qwen3-Max
Alibaba
Qwen3-Max is Alibaba’s latest trillion-parameter large language model, designed to push performance in agentic tasks, coding, reasoning, and long-context processing. It is built atop the Qwen3 family and benefits from the architectural, training, and inference advances introduced there; mixing thinker and non-thinker modes, a “thinking budget” mechanism, and support for dynamic mode switching based on complexity. The model reportedly processes extremely long inputs (hundreds of thousands of tokens), supports tool invocation, and exhibits strong performance on benchmarks in coding, multi-step reasoning, and agent benchmarks (e.g., Tau2-Bench). While its initial variant emphasizes instruction following (non-thinking mode), Alibaba plans to bring reasoning capabilities online to enable autonomous agent behavior. Qwen3-Max inherits multilingual support and extensive pretraining on trillions of tokens, and it is delivered via API interfaces compatible with OpenAI-style functions.Starting Price: Free -
21
ZCode
Z.ai
ZCode is an Agentic Development Environment built to bring GLM-5.2 into real coding workflows, combining the best AI agents with existing tools so developers can plan, code, review, and deploy without friction. It is designed for long-context, long-horizon, and agentic coding tasks, helping users move from requirement understanding to implementation, verification, and review inside one stable desktop workspace. ZCode Agent is the default self-developed agent framework, deeply integrated with tasks, models, permissions, file references, execution modes, Git branch state, and commit flow, making it a strong fit for everyday development, task breakdown, multi-file edits, debugging, testing, project preview, and continuous project work. Built around GLM-5.2, ZCode keeps goals, files, terminal results, browser context, execution modes, and Git state in the same task, so complex work can continue without losing continuity.Starting Price: $16.20 per month -
22
GPT-5.2-Codex
OpenAI
GPT-5.2-Codex is OpenAI’s most advanced agentic coding model, built for complex, real-world software engineering and defensive cybersecurity work. It is a specialized version of GPT-5.2 optimized for long-horizon coding tasks such as large refactors, migrations, and feature development. The model maintains full context over extended sessions through native context compaction. GPT-5.2-Codex delivers state-of-the-art performance on benchmarks like SWE-Bench Pro and Terminal-Bench 2.0. It operates reliably across large repositories and native Windows environments. Stronger vision capabilities allow it to interpret screenshots, diagrams, and UI designs during development. GPT-5.2-Codex is designed to be a dependable partner for professional engineering workflows. -
23
Claude Sonnet 4.5
Anthropic
Claude Sonnet 4.5 is Anthropic’s latest frontier model, designed to excel in long-horizon coding, agentic workflows, and intensive computer use while maintaining safety and alignment. It achieves state-of-the-art performance on the SWE-bench Verified benchmark (for software engineering) and leads on OSWorld (a computer use benchmark), with the ability to sustain focus over 30 hours on complex, multi-step tasks. The model introduces improvements in tool handling, memory management, and context processing, enabling more sophisticated reasoning, better domain understanding (from finance and law to STEM), and deeper code comprehension. It supports context editing and memory tools to sustain long conversations or multi-agent tasks, and allows code execution and file creation within Claude apps. Sonnet 4.5 is deployed at AI Safety Level 3 (ASL-3), with classifiers protecting against inputs or outputs tied to risky domains, and includes mitigations against prompt injection. -
24
Whuups
Whuups
Powerful. Free*. Secure. Whuups is a free instant messaging app available on smartphones, desktop computers, and via all internet browsers. Make voice calls, send instant messages, set up video conferences and share files for socializing or professional purposes. All you need is an internet connection. No subscription is required. Chat as you are®. With more tools and options than you can poke your finger at, Whuups allows you to display your unique Whuupser self through every interaction. Whether it’s via chat, video, voice, an event, or sharing files, your options to make your Whuups account your very own are endless. We believe every moment of life should be fun! And at Whuups, we spend our days fighting on average! We’re tirelessly scrutinizing our products to see how we can make every part of our service more enjoyable to use and, in fact, how it can bring fun into our users’ lives at every touchpoint.Starting Price: Free -
25
Ring 2.6
Ant Group
Ring is a trillion-parameter thinking model from Ant Group, designed for real-world Agent workflows. It uses the same Mixture of Experts architecture as Ling, activating about 63B parameters per inference, and focuses on coding agents, tool use, multi-tool collaboration, engineering development, research analysis, and long-horizon task execution. Rather than only pursuing “smarter” results, Ring is built to consistently complete complex tasks at reasonable cost, balancing quality, speed, and execution efficiency in production environments. Ring-2.6-1T introduces an adjustable Reasoning Effort mechanism with high and xhigh reasoning intensity levels, using adaptive reasoning budget allocation based on task complexity. High mode is designed for high-frequency Agent workflows, lower token cost, faster multi-step execution, multi-turn interaction, tool collaboration, and task decomposition.Starting Price: $0.0028 per 1M tokens -
26
Landing Now
Landing Now
Landing Now is a landing page generator using AI and plain English. You can make the product description funny and engaging. There's no need to be super professional. A few examples are below: Landing Now is an AI that generates ready-to-use landing pages before your coffee gets cold. Built for people who need a professional page today, not next quarter. Type in what you're selling, pick a style, download the code, and ship it. Landing Now builds your landing page while you're still googling "how to center a div." Type what you're selling, let AI handle the ugly HTML part, download and deploy. Zero code, zero headaches, zero excuses for not shipping. Landing Now is for people who'd rather poke their eyes out than touch CSS. AI builds the page, you grab the files and run. Two minutes from idea to deployable HTML, which is faster than most developers respond to Slack.Starting Price: $19/month -
27
Station X
Station X
Welcome to Station X, the home of the best cyber security courses on the Internet. Become a master in cyber security and hacking now! It's never been more important than it is today to master cyber security and hacking, which you can do through our excellent highly rated courses. Learn from over 140+ courses of on-demand video lectures, articles and other resources that transform you into a cyber security expert. Wouldn’t it be cool if you could setup security tripwires to tell you if someone or something was trying to poke around in our files, on our laptop, phone, in our email and on our online accounts? Well, now you can. Stay up to date with the latest security news, alerts and threat intelligence! Don't miss out on the latest threats to your security! Station X is a leading provider of cyber security training, consultancy and services since 1999. We offer comprehensive online cyber security training for security professionals and aspiring security professionals.Starting Price: $26 one-time payment -
28
Hello Customer
Insider Metrics
Hello Customer is the end-to-end customer feedback management platform that lets you collect, analyse and react to customer feedback in real-time. Set up customer satisfaction surveys with NPS, CSAT or CES and open feedback fields. Our AI engine ISAAC provides you with sentiment analysis and categorisation of the feedback so you can immediately see where your product or service is doing well or where you need to improve. -
29
Lumen Outpost
Cosine
Lumen Outpost is Cosine’s targeted post-trained coding model, benchmarked against Kimi K2.6, its base model, GPT-5.5, GPT-5.4, and Gemini 3.1 Pro on highly complex, long-horizon coding tasks across 13 programming languages. The model is specialized not only for raw coding accuracy, but also for behavioral signals that matter in professional engineering workflows, including agent initiative, planning, scope discipline, action alignment, concise updates, and useful communication. Cosine’s benchmark report shows that highly targeted post-training transformed the base model’s capabilities, with Lumen Outpost outperforming Kimi K2.6 across Niche-Bench, Slop-Bench, Vibe-Bench, and cost per successful task. On Niche-Bench, an internal evaluation for niche, legacy, and environment-constrained programming languages, Lumen Outpost achieved a 53.9% score and led or tied in 9 of 13 assessed languages, with notable gains in Fortran, ABAP, Java, and Rust.Starting Price: $20 per month -
30
Trinity-Large-Thinking
Arcee AI
Trinity Large Thinking is a frontier open source reasoning model developed by Arcee AI, designed specifically for complex, multi-step problem solving and autonomous agent workflows that require long-horizon planning and tool use. Built on a sparse Mixture-of-Experts architecture with roughly 400 billion total parameters but only about 13 billion active per token, the model achieves high efficiency while maintaining strong reasoning performance across tasks such as mathematical problem solving, code generation, and multi-step analysis. It introduces extended chain-of-thought reasoning capabilities, allowing the model to generate intermediate “thinking traces” before producing final answers, which improves accuracy and reliability in complex scenarios. Trinity Large Thinking supports a very large context window of up to 262K tokens, enabling it to process long documents, maintain state across extended interactions, and operate effectively in continuous agent loops.Starting Price: Free -
31
Millo-Mobile
Millo-Mobile
Millo-Mobile offers comprehensive trucking software. Features: – Order taking, order tracking. – Availability of equipment, drivers. – Distribution (Full loads, broken lots, LTL). – Brokerage-Logistics. – Integration of exchanges with drivers. – Calculation of fuel taxes (IFTA). – Garage (PEP preventive maintenance & repairs). – Driver envelopes, expense tracking. – Sub-contractors, income & deductibles. – Invoicing, rates & quotes. – HOS – Logbook management – Isaac integration – Dashboard (web application). – Circle check (mobile app) – Income & expenses, cost price. – Satellite integration.Starting Price: $350.00/year -
32
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. -
33
Mathstral
Mistral AI
As a tribute to Archimedes, whose 2311th anniversary we’re celebrating this year, we are proud to release our first Mathstral model, a specific 7B model designed for math reasoning and scientific discovery. The model has a 32k context window published under the Apache 2.0 license. We’re contributing Mathstral to the science community to bolster efforts in advanced mathematical problems requiring complex, multi-step logical reasoning. The Mathstral release is part of our broader effort to support academic projects, it was produced in the context of our collaboration with Project Numina. Akin to Isaac Newton in his time, Mathstral stands on the shoulders of Mistral 7B and specializes in STEM subjects. It achieves state-of-the-art reasoning capacities in its size category across various industry-standard benchmarks. In particular, it achieves 56.6% on MATH and 63.47% on MMLU, with the following MMLU performance difference by subject between Mathstral 7B and Mistral 7B.Starting Price: Free -
34
GLM-5-Turbo
Z.ai
GLM-5-Turbo is a high-speed variant of Z.ai’s GLM-5 model, designed to deliver efficient and stable performance in agent-driven environments while maintaining strong reasoning and coding capabilities. It is optimized for high-throughput workloads, particularly long-chain agent tasks where multiple steps, tools, and decisions must be executed in sequence with reliability and low latency. It supports advanced agentic workflows, enabling systems to perform multi-step planning, tool calling, and task execution with improved responsiveness compared to larger flagship models. GLM-5-Turbo inherits core capabilities from the GLM-5 family, including strong reasoning, coding performance, and support for long-context processing, while focusing on optimization of core requirements such as speed, efficiency, and stability in production environments. It is designed to integrate with agent frameworks like OpenClaw, where it can coordinate actions, process inputs, and execute tasks.Starting Price: Free -
35
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 -
36
Zyphra Cloud
Zyphra
Zyphra Cloud is a full-stack platform for open superintelligence, bringing advanced innovations from Zyphra Research into production for developers, enterprises, and frontier AI hyperscalers. It is designed for advanced AI systems with a focus on long-horizon agents, combining agent infrastructure, inference, agent environments, and compute into one unified platform for building and deploying open, sovereign AI at scale. Zyphra Cloud includes MAIA, a general open superagent for teams: a unified multimodal system that coordinates knowledge, communication, and execution across tools and workflows. MAIA is multiplayer by design, providing shared context, persistent memory, and coordinated execution across users and tools, while supporting interaction through language, audio, and vision in a single unified reasoning loop. Zyphra Inference is the first available component of the platform and is purpose-built to serve long-horizon agentic workloads. -
37
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. -
38
Nemotron 3 Super
NVIDIA
Nemotron-3 Super is part of NVIDIA’s Nemotron 3 family of open models designed to enable advanced agentic AI systems that can reason, plan, and execute multi-step workflows across complex environments. The model introduces a hybrid Mamba-Transformer Mixture-of-Experts architecture that combines the efficiency of state-space Mamba layers with the contextual understanding of transformer attention, allowing it to process long sequences and complex reasoning tasks with high accuracy and throughput. This architecture activates only a subset of model parameters for each token, improving computational efficiency while maintaining strong reasoning capabilities and enabling scalable inference for large workloads. Nemotron-3 Super contains roughly 120 billion parameters with around 12 billion active during inference, accelerating multi-step reasoning and collaborative agent interactions across large contexts. -
39
ReinforceNow
ReinforceNow
ReinforceNow is an end-to-end platform for continual learning with AI agents, built to help teams deploy, train, and repeat. It lets developers build AI agents and continuously train them on production traffic, or let Claude Code help set it up automatically. It handles reinforcement learning infrastructure, experiment orchestration, agent versioning, GPU training logic, and telemetry, so teams can focus on agent logic, data collection, and rewards. ReinforceNow supports fast LLM fine-tuning with LoRA, high-throughput training, and wide model support for open source models like Qwen, DeepSeek, and GPT-OSS. It provides advanced telemetry to evaluate, monitor, and iterate on AI agent LLM applications, with traces, rewards, experiment metrics, and training observability. Teams can train on long-horizon tasks with 32k to 1 million context size, build vertical agents for multi-turn and long-running tasks, and use rich tooling for reinforcement learning workflows. -
40
SubQ
Subquadratic
SubQ is a large language model developed by Subquadratic, designed specifically for long-context reasoning tasks. It can process up to 12 million tokens in a single prompt, allowing it to analyze entire codebases, long histories, and complex datasets at once. The model uses a sub-quadratic sparse-attention architecture that improves efficiency by focusing only on the most relevant relationships in the data. This approach reduces computational overhead while maintaining strong performance on large-scale tasks. SubQ is optimized for use cases such as software engineering, coding agents, and long-context retrieval. It delivers fast processing speeds and operates at a lower cost compared to many traditional models. Developers can access SubQ through APIs or integrate it into coding tools for enhanced workflows. Its architecture enables scalable AI reasoning without the limitations of standard transformer models. -
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Calculix
Calculix
With CalculiX finite element models can be built, calculated, and post-processed. The pre-and post-processor is an interactive 3D tool using the OpenGL API. The solver is able to do linear and non-linear calculations. Static, dynamic, and thermal solutions are available. Because the solver makes use of the abaqus input format it is possible to use commercial pre-processors as well. In turn the pre-processor can write mesh-related data for nastran, abaqus, ansys, code-aster, and for the free-cfd codes dolfyn, duns, ISAAC and OpenFOAM. A simple step reader is included. In addition, external CAD interfaces are available. The program is designed to run on Unix platforms like Linux and Irix computers but also on MS Windows. -
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NVIDIA Jetson
NVIDIA
NVIDIA's Jetson platform is a leading solution for embedded AI computing, utilized by professional developers to create breakthrough AI products across various industries, as well as by students and enthusiasts for hands-on AI learning and innovative projects. The platform comprises small, power-efficient production modules and developer kits, offering a comprehensive AI software stack for high-performance acceleration. This enables the deployment of generative AI at the edge, supporting applications like NVIDIA Metropolis and the Isaac platform. The Jetson family includes a range of modules tailored to different performance and power efficiency needs, such as the Jetson Nano, Jetson TX2, Jetson Xavier NX, and the Jetson Orin series. Each module is designed to meet specific AI computing requirements, from entry-level projects to advanced robotics and industrial applications. -
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MiniMax M2.5
MiniMax
MiniMax M2.5 is a frontier AI model engineered for real-world productivity across coding, agentic workflows, search, and office tasks. Extensively trained with reinforcement learning in hundreds of thousands of real-world environments, it achieves state-of-the-art performance in benchmarks such as SWE-Bench Verified and BrowseComp. The model demonstrates strong architectural thinking, decomposing complex problems before generating code across more than ten programming languages. M2.5 operates at high throughput speeds of up to 100 tokens per second, enabling faster completion of multi-step tasks. It is optimized for efficient reasoning, reducing token usage and execution time compared to previous versions. With dramatically lower pricing than competing frontier models, it delivers powerful performance at minimal cost. Integrated into MiniMax Agent, M2.5 supports professional-grade office workflows, financial modeling, and autonomous task execution.Starting Price: Free -
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Ling Studio
Ant Group
Ling Studio is Ant Ling’s online environment for exploring the infinite possibilities of AI and testing the core capabilities of the Ling model family. It gives users a direct place to try Ant Ling models before building with them through API access, making it easier to experience multi-turn reasoning, long-context processing, multimodal generation, and model behavior in a practical chat workspace. It connects to Ant Ling’s high-performance model family for text, coding, reasoning, and multimodal tasks. Ling models are general-purpose LLMs built on Mixture of Experts architecture, balancing high parameter scale with low activation cost and supporting conversation, text generation, and content creation. Ring models specialize in deep reasoning and cognitive capabilities, with strong performance in math, programming, and comprehensive reasoning benchmarks. -
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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 -
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Inkling-Small
Thinking Machines Lab
Inkling-Small is an efficient model that offers performance comparable to Inkling at a quarter of its size. It is a Mixture-of-Experts transformer with 276 billion total parameters and 12 billion active parameters, trained on NVIDIA GB300 NVL72 systems. It supports native reasoning across text, images, and audio, variable thinking effort, and context windows of up to one million tokens. Users adjust reasoning effort from minimal to extra high to balance performance and compute. Improved pre-training data, post-training with on-policy distillation from Inkling, and extended agentic coding reinforcement learning helped Inkling-Small surpass its larger counterpart on reasoning and coding benchmarks. It performs well in coding and tool-use harnesses, exceeds 80% on SWE-bench Verified, and combines strong reasoning with efficient output. Its encoder-free multimodal architecture processes audio as dMel spectrograms and images as 40-by-40-pixel patches alongside text tokens.Starting Price: $0.30 per million input tokens -
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Qwen3.7-Max
Alibaba
Qwen3.7-Max is Qwen’s latest proprietary model designed for the agent era, built to be a versatile agent foundation that is equally capable of writing and debugging code, automating office workflows, and sustaining autonomous browser sessions over long horizons. It reaches frontier-level coding performance, with stronger results across software engineering, terminal tasks, GUI grounding, web browsing, and agentic tool use. Qwen3.7-Max is designed to reduce the gap between model intelligence and real agent execution by supporting planning, long-context reasoning, reliable function calling, and multi-step task completion across complex workflows. It also strengthens multimodal and document-oriented work through Qwen Studio, which supports chatbot interaction, image and video understanding, image generation, document processing, presentation generation, coding assistance, deep research, and web development.Starting Price: Free -
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Subconscious
Subconscious
Subconscious is a developer-first platform designed to build, deploy, and scale production-ready AI agents by handling the hardest parts of agent architecture automatically. It provides a complete agent system that manages context, orchestrates tools, and enables long-horizon reasoning, allowing developers to focus on defining goals and capabilities rather than stitching together complex infrastructure. It introduces a unified inference engine composed of a co-designed model and runtime that decomposes complex tasks, generates workflows dynamically, and executes multi-step reasoning without manual context engineering or multi-agent orchestration. Unlike traditional approaches that rely on chaining APIs and frameworks, Subconscious enables agents to take in goals and tools, then autonomously plan, reason, and act with minimal human intervention, effectively creating systems that can “get the job done” on their own.Starting Price: $2 per 1M tokens -
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Sarvam-M
Sarvam
Sarvam-M is a multilingual, hybrid-reasoning large language model designed to deliver strong performance across Indian languages, mathematical reasoning, and programming tasks within a single, efficient system. Built on top of Mistral-Small, it is a 24-billion-parameter text-only model that has been enhanced through supervised fine-tuning, reinforcement learning with verifiable rewards, and inference optimizations to improve both accuracy and efficiency. The model is specifically trained to handle more than ten major Indic languages, supporting native scripts, romanized text, and code-mixed inputs, enabling seamless multilingual communication across diverse linguistic contexts. Sarvam-M introduces a hybrid reasoning approach that allows it to switch between “thinking” mode for complex tasks like math, logic, and coding, and faster response mode for everyday interactions, balancing performance and speed. -
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amige.
amige.
amige. checks whether an image, video, or text is AI-generated. it runs a weighted panel of independent detectors, fuses their reads, and shows you where they disagree. when the evidence splits, it says "uncertain" instead of guessing. every verdict comes with a confidence percentage, the per-detector breakdown, and a best guess at which of 90+ generative models made it (midjourney, sora, flux, stable diffusion). video detection is included, which text-only checkers can't run. it also reads C2PA Content Credentials and SynthID provenance. free tier: 3 scans a day, no card.Starting Price: Free; Pass $9/month