210 results. Find your next favorite, with a little help from the community.
Foundation models you can call or deploy
Meta's open-weight safety classifier for filtering harmful LLM inputs/outputs; initial release was a Llama 2 7B instruction-tuned model, followed by v2, v3, and v4.
12B dense LLM co-developed with NVIDIA, 128k context, Apache 2.0; multilingual and quantization-aware, positioned as a drop-in replacement for Mistral 7B.
Microsoft's 7B dense Phi-3 SLM with 8K and 128K context variants (MIT license), benchmarked as a mid-tier textbook-trained model between Phi-3 mini and medium.
Mistral's first open audio-input model family (Mini 3B and Small 24B), Apache 2.0; multilingual speech understanding, transcription, summarization and Q&A over audio.
Fast, cost-efficient Gemini 2.5 model with hybrid reasoning that lets developers toggle thinking on or off and set thinking budgets per request.
Microsoft's 4.2B multimodal variant of Phi-3 that accepts text + image input, small enough to run on-device for OCR, chart understanding, and vision-augmented chat.
Fast, low-cost Gemini 2.0 model with native multimodal output (images plus steerable multilingual text-to-speech) and built-in tool use including Search.
357B MoE with 200K context (up from 128K in 4.5), MIT license; improved coding, tool-use during inference, and agentic benchmark performance.
Smaller cost-optimized variant of GPT-5.4, available on the free tier via the Thinking feature and as an API model; ~4x pricier than GPT-5 equivalents in the OpenAI API.
1T/32B-active MoE with 256K context and MLA attention, Modified MIT license; 384-expert (8/token) agentic-focused foundation model from Moonshot.
Higher-compute variant of OpenAI's o3 reasoning model, available to ChatGPT Pro users and via API with tool access (web, files, Python) for high-reliability tasks.
Incremental Gemini 3 Pro upgrade with stronger core reasoning, verified 77.1% on ARC-AGI-2, shipped in preview across AI Studio, Antigravity, and Vertex AI.
Anthropic's second-generation Claude model with a 100k-token context window for chat, summarization, and coding; retired from the API in July 2025.
Fast, low-cost model in Anthropic's Claude 3.5 family; text-only at launch, priced $0.80/$4 per MTok on the API. Model ID claude-3-5-haiku-20241022.
Higher-capability Gemini 2.0 model aimed at complex reasoning and coding tasks, launched as an experimental release in Google AI Studio and Vertex AI.
Smallest, cheapest Gemini 2.5 model, tuned for high-volume translation and classification with a 1M-token context and toggleable thinking budgets.
Google DeepMind embodied-reasoning model for robotics with improved spatial logic, multi-view understanding, task planning, and instrument reading.
OpenAI's second-generation image generation model in the API and Codex, offering fixed sizes (1024x1024, 1024x1536, 1536x1024), stronger editing, and improved text rendering.
Mistral's 24B open-weight reasoning model under Apache 2.0; first Mistral reasoning system with transparent, domain-specific, multilingual chain-of-thought traces.
Instruction-tuned variant of Mistral 7B released the same day under Apache 2.0; chat/instruction fine-tune outperforming Llama 2 13B Chat on standard benchmarks.
Gemini 3.1 Flash Image model that combines Nano Banana Pro-level quality with Flash speed, adding subject consistency and production-ready output specs.
Google's generally available Flash model for long-horizon software engineering, autonomous agents, and complex enterprise workflows.
Google's music generation model for creating full-length songs from text or image prompts through the Gemini API.
OpenAI's open-weight reasoning model family (gpt-oss-120b and gpt-oss-20b), the company's first open-weight LLMs since GPT-2 in 2019, released for self-hosted deployment.