Browse All Models
Explore all 325 models in our catalog — text-generation LLMs plus 10 specialized non-LLM models (image-gen, speech, embeddings), marked with a ★ in the table. Filter by kind, family, architecture, size, or capability. Click any model to see detailed specs, GPU requirements, and pricing. Prices, providers and release dates live on the leaderboard →
| Name ▲ | Provider | Family | Params | Arch | Context | Precision | Capabilities | VRAM | Frameworks | Quality |
|---|---|---|---|---|---|---|---|---|---|---|
| Sentence Transformers | MiniLM | 23M | dense | 256 | bf16 | — | 0.0 GB | tgi · ollama | — | |
| NVIDIA | Alpamayo | 10B | dense | 8K | bf16 | 20.0 GB | vllm | 70.0 | ||
| Amazon | Nova | 12B | dense | 300K | bf16 | 24.0 GB | vllm | 35.0 | ||
| Amazon | Nova | 50B | dense | 300K | bf16 | 100.0 GB | vllm | 36.0 | ||
| Cohere | Aya | 35B | dense | 131K | bf16 | 70.0 GB | vllm · sglang · tgi+1 | — | ||
| Cohere | Aya | 8B | dense | 8K | bf16 | 16.0 GB | vllm · sglang · tgi+2 | — | ||
| Baichuan | Baichuan 2 | 13B | dense | 4K | bf16 | 26.0 GB | vllm · sglang · tgi | — | ||
| Baichuan | Baichuan 2 | 7B | dense | 4K | bf16 | 14.0 GB | vllm · tgi | — | ||
| BAAI | BGE | 110M | dense | 512 | bf16 | — | 0.2 GB | vllm · tgi | — | |
| BAAI | BGE | 335M | dense | 512 | bf16 | — | 0.7 GB | vllm · tgi · tensorrt-llm | — | |
| BAAI | BGE | 568M | dense | 8K | bf16 | 1.1 GB | vllm · tgi · tensorrt-llm | — | ||
| BAAI | BGE | 33M | dense | 512 | bf16 | — | 0.1 GB | vllm · tgi | — | |
| BioMistral | BioMistral | 7.2B | dense | 33K | bf16 | — | 14.4 GB | vllm · sglang · tgi+1 | — | |
| NVIDIA | BioNeMo | 650M | encoder | — | — | — | — | — | — | |
| Cerebras | BTLM | 3B | dense | 8K | bf16 | 6.0 GB | vllm · tgi | — | ||
| NVIDIA | Canary | 1B | dense | 4K | bf16 | 2.0 GB | tensorrt-llm · vllm | — | ||
| Cerebras | Cerebras GPT | 13B | dense | 2K | bf16 | — | 26.0 GB | vllm · tgi | — | |
| Tsinghua University | ChatGLM3 | 6B | dense | 131K | bf16 | 12.0 GB | vllm · sglang · tgi+1 | — | ||
| Zhipu AI | ChatGLM | 9.4B | dense | 131K | bf16 | 18.8 GB | vllm · sglang · tgi | — | ||
| Anthropic | Claude | 175B | dense | 200K | bf16 | 350.0 GB | — | 80.0 | ||
| Anthropic | Claude | 70B | dense | 200K | bf16 | 140.0 GB | — | 78.0 | ||
| Anthropic | Claude | 20B | dense | 200K | bf16 | 40.0 GB | — | 67.0 | ||
| Anthropic | Claude | 175B (50B active) | moe | 200K | bf16 | 350.0 GB | vllm | — | ||
| Anthropic | Claude | 30B | moe | 200K | bf16 | 60.0 GB | vllm | — | ||
| Anthropic | Claude | 200B | dense | 200K | bf16 | 400.0 GB | — | 90.0 | ||
| Anthropic | Claude | 300B (75B active) | moe | 200K | bf16 | 600.0 GB | vllm | 90.0 | ||
| Anthropic | Claude | 400B (80B active) | moe | 200K | bf16 | 800.0 GB | vllm | 90.0 | ||
| Anthropic | Claude | 450B (85B active) | moe | 1000K | bf16 | 900.0 GB | vllm | 90.0 | ||
| Anthropic | Claude | 500B (90B active) | moe | 1000K | bf16 | 1000.0 GB | vllm | 90.0 | ||
| Anthropic | Claude | 70B | dense | 200K | bf16 | 140.0 GB | — | 86.0 | ||
| Anthropic | Claude | 150B (60B active) | moe | 200K | bf16 | 300.0 GB | vllm | 86.0 | ||
| Anthropic | Claude | 180B (70B active) | moe | 1000K | bf16 | 360.0 GB | vllm | 86.0 | ||
| Meta | Code Llama | 13B | dense | 16K | bf16 | 26.0 GB | vllm · sglang · tgi+2 | 44.0 | ||
| Meta | Code Llama | 34B | dense | 100K | bf16 | 68.0 GB | vllm · sglang · tgi+2 | 55.0 | ||
| Meta | Code Llama | 70B | dense | 16K | bf16 | 140.0 GB | vllm · sglang · tgi+1 | 60.0 | ||
| Meta | Code Llama | 7B | dense | 16K | bf16 | 14.0 GB | vllm · sglang · tgi+2 | 39.0 | ||
| Gemma | 8.5B | dense | 8K | bf16 | 17.0 GB | vllm · sglang · tgi+1 | 52.0 | |||
| Salesforce | CodeGen2 | 16B | dense | 2K | bf16 | 32.0 GB | vllm · tgi | — | ||
| Mistral AI | Codestral | 22B | dense | 33K | bf16 | 44.0 GB | vllm · sglang · tgi+1 | 63.0 | ||
| Mistral AI | Codestral | 7.3B | hybrid | 262K | bf16 | 14.6 GB | vllm · sglang | — | ||
| THUDM | CogVLM2 | 19B | dense | 8K | bf16 | 38.0 GB | vllm · sglang · tgi | — | ||
| Cohere | Embed | 500M | dense | 512 | bf16 | — | 1.0 GB | — | — | |
| Cohere | Command | 111B | dense | 256K | bf16 | 222.0 GB | — | 81.0 | ||
| Cohere | Command R | 35B | dense | 131K | bf16 | 70.0 GB | vllm · sglang · tgi+1 | 68.0 | ||
| Cohere | Command R | 35B | dense | 128K | bf16 | 70.0 GB | vllm · sglang · tgi | 68.0 | ||
| Cohere | Command R | 7B | dense | 131K | bf16 | 14.0 GB | vllm · sglang · tgi+2 | 68.0 | ||
| Cohere | Command R | 104B | dense | 131K | bf16 | 208.0 GB | vllm · sglang · tgi+1 | 68.0 | ||
| NVIDIA | Cosmos | 7B | dense | 4K | bf16 | 14.0 GB | tensorrt-llm | 60.0 | ||
| Sesame | CSM | 1B | dense | 4K | bf16 | — | 2.0 GB | ollama | — | |
| OpenAI | DALL-E | 3.5B | dense | 4K | bf16 | 7.0 GB | — | — |
Showing 1–50 of 325