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.
| Kimi K2.8 Preview Moonshot AI | — | 1.05M | — | — | — |
| Ling 3.0 Flash VL inclusionAI | 41.8 | 131.07K | — | — | — |
| North Small Translate 1.0 Cohere | 11.4 | 16.38K | — | — | — |
| GPT Image 2.5 Flare OpenAI | 10.0 | — | — | — | — |
| GPT Image 2.5 Sunburst OpenAI | 10.0 | — | — | — | — |
| Mercury 2.5 Inception | — | 260K | From $0.04 | From $0.15 | — |
| Mercury Voice Inception | — | — | From $0.20 | From $0.75 | — |
| MiniCPM5-2B OpenBMB | — | 131.07K | — | — | — |
| GPT-6 Astra (Fast) OpenAI | — | 1.05M | — | — | — |
| Ling 3.0 Flash Sante inclusionAI | — | 262.14K | — | — | — |
| Qwen3.8 Max 0902 Alibaba | — | 1M | — | — | — |
| Granite 4.2 8B IBM Granite | 41.8 | 131.07K | — | — | — |
| Hunyuan Hy4 Preview Tencent | 26.7 | 1M | — | — | — |
| Ling 3.0 Flash Fin inclusionAI | 35.2 | 262.14K | — | — | — |
| Gemini 3.5 Transcribe Live Google | — | — | — | — | — |
| Qwen3.8 Flash Qwen | 66.7 | 1M | $0.15 | $0.47 | — |
| Apodex 1.1 Mini apodex | — | 262.14K | — | — | — |
| DeepSeek V4 Flash Vision Experimental DeepSeek | 56.9 | 1.05M | — | — | — |
| tencent/Hy-MT2-1.8B tencent | 0.0 | — | — | — | — |
| tencent/Hy-MT2-30B-A3B tencent | 0.0 | — | — | — | — |
| Hy-MT2-7B Tencent | — | 8.19K | — | — | — |
| Ornith 1.5 35B A3B Deepreinforce | — | 262.14K | — | — | — |
| Gemini 3.7 Flash Google | 89.2 | 1.05M | $0.75 | $3.75 | — |
| Gemini Flash Latest Google | 89.0 | 1.05M | $1.50 | $9.00 | — |
| MiniMax Music 3 MiniMax | 9.7 | — | — | — | — |
| Toast 1 Mixedbread | — | 131K | — | — | — |
| DeepSeek V4 Pro 0813 DeepSeek | — | 1M | — | — | — |
| Grok 4.6 xAI | — | 500K | — | — | — |
| MAI-Code-1.1-Flash Microsoft | — | 256K | — | — | — |
| Nemotron 3.5 Lightning 30B A3B NVIDIA | — | 262.14K | — | — | — |
| Muse Glimmer 30B Meta | — | 131.07K | From $0.30 | From $1.20 | — |
| GPT-5.6 Cyber OpenAI | — | 400K | $12.50 | $75.00 | — |
| Grok Imagine Image 2.0 xAI | 10.0 | — | — | — | — |
| Motif 3 Motif Technologies | — | 262.14K | — | — | — |
| Solar Pro 4 Upstage | — | 524.29K | — | — | — |
| Muse Spark 1.2 Meta | — | 1.05M | From $1.25 | From $4.25 | — |
| Grok Voice STT 1.0 xAI | — | 15K | — | — | — |
| Shieldstral 1.0 Mistral AI | 19.7 | 32K | — | — | — |
| Sakana Namazu Sakana AI | — | 262.14K | — | — | — |
| google/gemma-4-12B-it google | 61.2 | 262.14K | $0.06 | $0.30 | — |
| DeepSeek V4 Flash 0731 DeepSeek | 71.6 | 1M | $0.1596 | $0.399 | — |
| deepseek-ai/DeepSeek-V4-Flash deepseek-ai | 66.6 | 1M | $0.14 | $0.28 | — |
| Grok Voice TTS 1.0 xAI | — | 15K | — | — | — |
| MiniMax H3 MiniMax | 24.6 | — | — | — | — |
| Seedance 2.5 ByteDance Seed | — | — | — | — | — |
| Inkling Small Thinkingmachines | 76.8 | 1.05M | $0.50 | $1.20 | — |
| Claude Opus 5 Anthropic | 75.6 | 1M | $5.00 | $25.00 | — |
| Ling 3.0 Flash inclusionAI | 35.2 | 262.14K | — | — | — |
| Gemini 3.5 Flash Lite Google | 89.4 | 1.05M | $0.30 | $2.50 | — |
| Gemini 3.6 Flash Google | 89.4 | 1.05M | $1.50 | $7.50 | — |
| Gemini Flash-Lite Latest Google | 89.0 | 1.05M | $0.25 | $1.50 | — |
| Laguna S 2.1 Poolside | 62.9 | 1.05M | $0.10 | $0.20 | — |
| Macaron V1 Tall mindlab | — | 262.14K | — | — | — |
| Macaron V1 Venti mindlab | — | 1.05M | — | — | — |
| Qwen3.8 Max Preview Alibaba | 75.6 | 1M | $1.50 | $5.00 | — |
| Mistral OCR 4.1 Mistral AI | 14.5 | — | — | — | — |
| Inkling Thinkingmachines | 76.8 | 1.05M | $1.00 | $4.05 | — |
| Qwen3.7 Flash Alibaba | 79.1 | 1M | $0.03 | $0.13 | — |
| GPT-5.6 Luna OpenAI | 80.8 | 1.05M | $0.20 | $1.20 | — |
| GPT-5.6 Sol OpenAI | 80.8 | 1.05M | $5.00 | $30.00 | — |
61–120 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.