
A series of generative AI models created by Google for the world of education. Ideal for facilitating and personalizing the educational experience
🚀 List your AI tool on AIForest for free
Hurry up — get early exposure, backlinks, traffic, and reach thousands of AI enthusiasts before slots fill up.
Browse LLM models AI tools on AIForest. Compare related products, pricing types, screenshots, categories, and official links before choosing a tool.
Tools tagged with LLM models, ordered by newest listings first.
Submit your product to AIForest and reach visitors comparing AI tools, alternatives, and new software to try.

A series of generative AI models created by Google for the world of education. Ideal for facilitating and personalizing the educational experience

Discover the inner workings of GPT in an interactive spreadsheet. See the architecture, matrix calculations and data flow. Fun and instructive

A powerful new open-source text-music AI model created by Stability.ai. An AI capable of generating up to 95 seconds of CD-quality music

An open-source model designed for code and long-running tasks, with a context window of up to 1 million tokens. This Mixed Expert (MoE) LLM handles complex projects, analyzes entire repositories, and performs multi-step reasoning. It is available as open source under the MIT license

Microsoft’s new reasoning model, trained from scratch and optimized for code. It rivals the best models on SWE-Bench Pro and AIME 2025, while remaining medium-sized and computationally efficient

Discover a next-generation AI model designed for advanced use while remaining highly secure. You’ll enjoy top-tier performance for coding, analysis, and research, while safeguards block sensitive applications such as cybersecurity and biology

Take advantage of Anthropic’s AI model—more reliable, more honest, and four times less likely to overlook its own errors. Its fast mode delivers up to 2.5 times more tokens per second (at the same API rate as the previous version)

Use a more reliable and accurate ChatGPT. This new model significantly reduces hallucinations on sensitive topics (medicine, law, finance). It provides shorter responses and offers greater personalization based on your files, past conversations, and connected Gmail account

Baidu's flagship model is more cost-effective and powerful: it requires only one-third of the resources of its competitors and achieves a score of 99.6 on AIME26. It outperforms DeepSeek V4 Pro on several practical benchmarks and ranks first among Chinese models on LMArena Text

Power up your code agents with a 128-billion-parameter model featuring a 256,000-token context window, which excels at coding, reasoning, and following instructions. This model requires only 4 GPUs to run and achieves a score of 77.6% on SWE-Bench Verified

Access GPT-5.4, Claude Opus 4.6, Gemini 3.1, and over 100 large language models (LLMs) through a single API key compatible with OpenAI, Claude, and Gemini. Enjoy ultra-fast global routing (300 ms), shared billing for teams, and support for OpenClaw

Tackle time-consuming and complex tasks by letting AI plan, use tools, check its work, and see tasks through to completion with minimal supervision. This model significantly improves coding, the use of virtual machines, online research, and knowledge work tasks

This Mixture-of-Experts model, with approximately 1 trillion parameters, features a 1M-token context, virtually infinite Engram memory, and multimodal capabilities for text, images, and video. It aims to achieve performance scores comparable to Claude Opus while remaining significantly more affordable (to be released under the Apache 2.0 license)

This open-source model takes agent-based programming even further with multi-file editing, 256K of context, and the generation of animated front-end interfaces. It also features swarms of up to 300 sub-agents capable of performing tasks continuously

Run a 35-billion-parameter MoE model with only 3 billion parameters actually activated, while achieving coding, vision, and reasoning performance on par with much larger models. Optimized for agentic coding, multimodal perception, and very long contexts (up to over a million tokens)

This open-weight model, with 754 billion parameters, is designed for long and complex engineering tasks: it can operate autonomously for up to 8 hours straight, from planning through to final delivery. As the world’s first open-source model on WE-Bench Pro and NL2Repo, it rivals Claude Opus 4.6 in code quality

The new beta version of the xAI model, which is comparable in size to Grok 4.20 but features an improved architecture and knowledge updated through December 2025, is already being rolled out gradually

This open-source 400B-parameter model thinks before responding to handle long and complex prompts. It ranks just behind Claude Opus 4.6 on PinchBench and costs 96% less (Apache 2.0 license)

The first model developed by Meta Superintelligence Labs, built from scratch in nine months and natively multimodal (text, image, voice). Its “Contemplating” mode coordinates multiple sub-agents in parallel and is already powering Meta AI on Facebook, Instagram, and WhatsApp

Alibaba's new leading model codes, tests, and debugs entire projects autonomously using a 1-million-token prompt. It generates web interfaces from screenshots, understands images and documents, and integrates directly with Claude Code via the Anthropic API

This multimodal model understands and generates text, images, audio, and video all within a single interface. It recognizes speech in 113 languages and responds verbally in 36 languages

Take advantage of enhanced audio and visual understanding to create comprehensive multimodal applications, ranging from image analysis to audio interpretation. The open-source E2B and E4B models offer optimal memory capacity and computational efficiency. Perfect for inference on devices with limited resources

This open-source model combines reasoning, image analysis, and advanced coding into a single tool. Powerful and flexible, it can handle long queries and generate more direct and effective responses. A robust alternative to the best models on the market

This model improves upon the previous M2.5 version in terms of agentic coding, office productivity, and following complex instructions. It self-improves by building its own skills to learn continuously, achieving the highest open-source ELO score on GDPval-AA

A Google AI model capable of handling complex tasks involving text, images, audio, or video. It can summarize lengthy sources, analyze data, and assist in coding end-to-end interfaces

This version of Grok brings together four professor-level agents who reason together before responding. They correct each other, break down problems, and rely on real-time web search and coding tools to provide more reliable answers

OpenAI's most powerful frontier model directly controls your computer, processes 1 million tokens, and reasons about very long tasks. It is claimed to reduce errors by 33% and significantly improve code and document analysis

This model from OpenAI responds more directly to your questions, without unnecessary refusals or moralizing statements. It reduces hallucinations by 27%, better understands the context of your questions, and enriches its responses with web search
No more tools to load.