210 results. Find your next favorite, with a little help from the community.
Foundation models you can call or deploy
355B/32B-active MoE with 128K context, MIT license; hybrid thinking model with toggleable reasoning modes for agentic/reasoning/coding (ARC) tasks.
106B/12B-active vision-language MoE (glm4v_moe), 128K context, MIT license; native multimodal tool calling with interleaved image-text generation.
2.8T-parameter natively-multimodal MoE with 1M-token context from Moonshot AI; built for long-horizon coding, knowledge work, and deep reasoning.
Adobe's commercially-safe generative AI model for high-quality image creation with improved photorealistic output and style control.
AI21's hybrid SSM-Transformer model with 256K context window, combining Mamba and Transformer architectures for efficient long-context processing.
Smaller variant of AI21's hybrid SSM-Transformer architecture with 256K context, optimized for speed and cost efficiency.
ModelAmazon's cost-effective multimodal model optimized for speed, processing text, images, and video inputs at low latency.
ModelAmazon's most capable multimodal model for complex reasoning tasks, multi-step agentic collaboration, and model distillation with 1M token context window.
ModelAmazon's multimodal foundation model for complex tasks including text, image, and video understanding via Amazon Bedrock.
Cohere's open-weight multilingual model supporting 23 languages, designed for high-quality multilingual generation and understanding.
Cohere's flagship enterprise LLM optimized for business applications including RAG, tool use, and agents with strong multilingual capabilities.
Cohere's multimodal embedding model supporting text and images for semantic search and retrieval applications.
OpenAI's image generation model using diffusion with CLIP guidance, supporting image creation, editing, and variations.
Databricks' open-source mixture-of-experts LLM with 132B total parameters, excelling at code and general language tasks.
Technology Innovation Institute's open-source multilingual model trained on 5.5 trillion tokens with strong performance efficiency.
TII's latest open-source LLM with improved reasoning and multilingual capabilities, trained on curated high-quality data.
Google DeepMind's highest-quality text-to-image model with photorealistic output, rich detail, and fewer artifacts.
Inflection AI's foundation model powering the Pi assistant, achieving 94% of GPT-4 performance at 40% of the training compute with major coding/math improvements.
Shanghai AI Lab's open-source model excelling at reasoning, long-context understanding, and tool use with 1M token context support.
Kuaishou's video generation model producing high-quality videos up to 2 minutes with improved motion and physics simulation.
Meta's open-source music generation model that creates high-quality music from text descriptions or melody conditioning.
Major model update with improved prompt understanding, coherence, text rendering in images, and photorealistic capabilities.
MiniMax's flagship LLM featuring proprietary MSA (MiniMax Sparse Attention) architecture with 1M token context and native multimodality, open-sourced.
456B parameter MoE model (45.9B active) with up to 4M token inference context using hybrid Lightning+Softmax attention. Open-weight.