The SyncDev models directory
Find the right model for the work you need to do. Explore 3,077 profiles, from hosted language models to image, audio and video generators and downloadable checkpoints.
Start with our shortlist, search a model family, or filter by task and deployment. Prices apply to the listed route; a dash means a figure is not recorded.
| Magistral Medium (latest) Mistral AI | 48.5 | 128K | $2.00 | $5.00 | — |
| Mistral Small 3.1 24B Mistral AI | — | 128K | — | — | — |
| Command A Cohere | 35.3 | 256K | $2.50 | $10.00 | — |
| Gemma 3 27B IT Google | — | 131.07K | — | — | — |
| google/gemma-3-4b-it google | 5.0 | — | — | — | — |
| Reka Flash 3 rekaai | — | 65.54K | — | — | — |
| Skyfall 36B V2 thedrummer | — | 32.77K | — | — | — |
| QwQ 32B Alibaba | — | 131.07K | — | — | — |
| QwQ Plus Alibaba | 47.1 | 131.07K | $0.80 | $2.40 | — |
| Aya Vision 32B Cohere | 15.3 | 16K | — | — | — |
| Aya Vision 8B Cohere | 15.3 | 16K | — | — | — |
| Command R7B Arabic Cohere | 30.4 | 128K | $0.0375 | $0.15 | — |
| Claude Sonnet 3.7 Anthropic | 63.5 | 200K | $3.00 | $15.00 | — |
| Saba Mistral AI | — | 32.77K | — | — | — |
| MiniMax image-01 MiniMax | — | — | — | — | — |
| Aion-RP 1.0 (8B) aion-labs | — | 32.77K | — | — | — |
| Sonar Deep Research Perplexity | — | 128K | — | — | — |
| O3 Mini:High Openai via Requesty | 59.4 | 200K | $1.10 | $4.40 | — |
| Mistral Small 3 Mistral AI | — | 32.77K | — | — | — |
| ALLaM-2-7b SDAIA | — | 4.1K | — | — | — |
| deepseek-ai/DeepSeek-R1 deepseek-ai | 49.7 | 128K | — | — | — |
| DeepSeek-R1 DeepSeek | 49.7 | 128K | $0.70 | $2.50 | — |
| DeepSeek-R1-Distill-Qwen-32B DeepSeek | — | 131.07K | — | — | — |
| Qwen-Omni Turbo Alibaba | 42.1 | 32.77K | $0.07 | $0.27 | — |
| MiniMax Text 01 (MiniMax) MiniMax | — | 1M | — | — | — |
| DeepSeek-V3 DeepSeek | — | 131.07K | — | — | — |
| o3-mini OpenAI | 59.1 | 200K | $1.10 | $4.40 | — |
| Llama 3.3 Euryale 70B sao10k | — | 131.07K | — | — | — |
| Gemini 2.0 Flash Google | 66.6 | 1.05M | $0.10 | $0.40 | — |
| Gemini 2.0 Flash-Lite Google | 66.6 | 1.05M | $0.075 | $0.30 | — |
| Phi-4-mini Microsoft | — | 128K | — | — | — |
| Llama-3.3-70B-Instruct Meta | 30.0 | 128K | $1.254 | $1.254 | — |
| o1 OpenAI | 69.0 | 200K | $15.00 | $60.00 | — |
| Nova Lite Amazon | — | 300K | — | — | — |
| Nova Micro Amazon | — | 128K | — | — | — |
| Nova Pro Amazon | — | 300K | — | — | — |
| Command R7B Cohere | 29.9 | 128K | $0.0375 | $0.15 | — |
| google/gemma-3-12b-it google | 26.5 | 131.07K | $0.05 | $0.10 | — |
| Qwen/Qwen2.5-Omni-7B Qwen | 41.8 | 32.77K | $0.10 | $0.40 | — |
| GPT-4o (2024-11-20) OpenAI | 42.9 | 128K | $2.50 | $10.00 | — |
| Mistral Large 2407 Mistral AI | — | 131.07K | — | — | — |
| Mistral Large 2.1 Mistral AI | 33.0 | 131.07K | $2.00 | $6.00 | — |
| Qwen2.5-Coder-0.5B Alibaba | — | 32.77K | — | — | — |
| Qwen2.5-Coder-32B-Instruct Alibaba | — | 131.07K | — | — | — |
| UnslopNemo 12B thedrummer | — | 1.02M | — | — | — |
| Mistral Large (latest) Mistral AI | 46.7 | 262.14K | $0.50 | $1.50 | — |
| Pixtral Large (latest) Mistral AI | 42.2 | 128K | $2.00 | $6.00 | — |
| Qwen Turbo Alibaba | 57.7 | 1M | $0.05 | $0.20 | — |
| Aya Expanse 32B Cohere | 19.7 | 128K | — | — | — |
| Aya Expanse 8B Cohere | 6.3 | 8K | — | — | — |
| Claude Haiku 3.5 Anthropic | 43.4 | 200K | $0.80 | $4.00 | — |
| Claude Sonnet 3.5 v2 Anthropic | 43.4 | 200K | — | — | — |
| Claude Sonnet 3.5 v2 Anthropic | 57.7 | 200K | $3.00 | $15.00 | 78 t/s |
| Magnum v4 72B anthracite-org | — | 32.77K | — | — | — |
| Ministral 3B Mistral AI | — | 128K | — | — | — |
| Ministral 8B Instruct Mistral AI | — | 131.07K | — | — | — |
| Palmyra X4 Writer | — | 128K | — | — | — |
| openai/whisper-large-v3-turbo openai | 6.3 | — | — | — | — |
| Whisper 3 Large OpenAI | 7.9 | 448 | $0.00 | $0.00 | — |
| Whisper Large v3 Turbo OpenAI | 6.3 | 448 | — | — | — |
481–540 of 3077 models · select a column to sort
About this order: Recommended shows our editorial shortlist first, followed by recent releases. The spec score is a 0–100 figure SyncDev calculates from each vendor's published specifications — context window, reasoning support, input modalities, tool calling, maximum output and how recently the model shipped. It measures breadth of capability, not benchmark performance, so a higher-scoring model is not automatically the better choice for your task.