All tasks / Image / Image understanding
Best AI APIs for image understanding
Models you can call through a paid API, ranked from public benchmarks, with their price in this task’s unit.
STop ranked: Qwen3.8-Max (Alibaba (Qwen)), 1,301 on LMArena Vision Arena (overall, style control).31 options listed · data verified 19 Oct 2026
Ranked list
| Tier | Name | Approach | Runs | Rated by | Price | Skill | Compare |
|---|---|---|---|---|---|---|---|
| S | Qwen3.8-Max Alibaba (Qwen) | Models | Cloud | 1,301 on LMArena Vision Arena (overall, style control) | $3/M tokens | — | |
| S | OpenAI | Models | Cloud | 1,294 on LMArena Vision Arena (overall, style control) | $4/M tokens | — | vs Qwen3.8-Max |
| S | Anthropic | Models | Cloud | 1,293 on LMArena Vision Arena (overall, style control) | $8/M tokens | — | vs Qwen3.8-Max |
| S | Muse Spark 1.3 Meta | Models | Cloud | 1,290 on LMArena Vision Arena (overall, style control) | $2/M tokens | — | vs Qwen3.8-Max |
| S | Google | Models | Cloud | 1,289 on LMArena Vision Arena (overall, style control) | $1.5/M tokens | — | vs Qwen3.8-Max |
| S | Anthropic | Models | Cloud | 1,286 on LMArena Vision Arena (overall, style control) | $20/M tokens | — | vs Qwen3.8-Max |
| S | OpenAI | Models | Cloud | 1,286 on LMArena Vision Arena (overall, style control) | $20/M tokens | — | vs Qwen3.8-Max |
| S | Google | Models | Cloud | 1,280 on LMArena Vision Arena (overall, style control) | $4.5/M tokens | — | |
| S | Z.ai | Models | Local | 1,273 on LMArena Vision Arena (overall, style control) | ~185 GB VRAM | — | |
| A | Anthropic | Models | Cloud | 1,266 on LMArena Vision Arena (overall, style control) | $4/M tokens | — | |
| A | Google | Models | Cloud | 1,266 on LMArena Vision Arena (overall, style control) | $0.85/M tokens | — | |
| A | Alibaba (Qwen) | Models | Cloud | 1,264 on LMArena Vision Arena (overall, style control) | $0.56/M tokens | — | |
| A | Google DeepMind | Models | Local | 1,262 on LMArena Vision Arena (overall, style control) | ~19 GB VRAM | — | |
| A | DeepSeek | Models | Local | 1,260 on LMArena Vision Arena (overall, style control) | ~320 GB VRAM | — | |
| A | StepFun | Models | Local | 1,250 on LMArena Vision Arena (overall, style control) | ~346 GB VRAM | — | |
| A | xAI | Models | Cloud | 1,248 on LMArena Vision Arena (overall, style control) | $3/M tokens | — | |
| A | Xiaomi | Models | Local | 1,248 on LMArena Vision Arena (overall, style control) | ~178 GB VRAM | — | |
| A | Xiaomi | Models | Local | 1,246 on LMArena Vision Arena (overall, style control) | ~585 GB VRAM | — | |
| A | Alibaba (Qwen) | Models | Local | 1,244 on LMArena Vision Arena (overall, style control) | ~17 GB VRAM | — | |
| A | OpenAI | Models | Cloud | 1,241 on LMArena Vision Arena (overall, style control) | $0.2/M tokens | — | |
| A | Meta | Models | Local | 80.9% on Artificial Analysis MMMU-Pro (independent evaluation) | ~470 GB VRAM | — | |
| A | Moonshot AI | Models | Local | 80.5% on Artificial Analysis MMMU-Pro (independent evaluation) | ~1600 GB VRAM | — | |
| A | MiniMax | Models | Local | 1,236 on LMArena Vision Arena (overall, style control) | ~245 GB VRAM | — | |
| A | Z.ai | Models | Cloud | 1,231 on LMArena Vision Arena (overall, style control) | $1.9/M tokens | — | |
| A | inclusionAI | Models | Local | 79% on Artificial Analysis MMMU-Pro (independent evaluation) | ~73 GB VRAM | — | |
| B | Thinking Machines Lab | Models | Local | 1,208 on LMArena Vision Arena (overall, style control) | ~159 GB VRAM | — | |
| B | Mistral AI | Models | Local | 1,200 on LMArena Vision Arena (overall, style control) | ~75 GB VRAM | — | |
| B | Mistral AI | Models | Cloud | 76.4% on Artificial Analysis MMMU-Pro (independent evaluation) | $2.06/M tokens | — | |
| B | Meta | Models | Local | 74.3% on Artificial Analysis MMMU-Pro (independent evaluation) | ~19 GB VRAM | — | |
| B | Thinking Machines Lab | Models | Local | 73.5% on Artificial Analysis MMMU-Pro (independent evaluation) | ~557 GB VRAM | — | |
| B | Meta | Models | Local | 1,145 on LMArena Vision Arena (overall, style control) | ~230 GB VRAM | — |
Tiers come only from public benchmarks (LMArena Vision Arena (overall, style control), Artificial Analysis MMMU-Pro (independent evaluation)); tools without a result of their own inherit the tier of the best model they offer. How we rank.