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Best AI APIs for coding
Models you can call through a paid API, ranked from public benchmarks, with their price in this task’s unit.
STop ranked: Claude Opus 5.5 (Anthropic), 1,806 on LMArena WebDev / Code Arena (overall).52 options listed · data verified 19 Oct 2026
Ranked list
| Tier | Name | Approach | Runs | Rated by | Price | Skill | Compare |
|---|---|---|---|---|---|---|---|
| S | Anthropic | Models | Cloud | 1,806 on LMArena WebDev / Code Arena (overall) | $8/M tokens | — | |
| S | OpenAI | Models | Cloud | 1,776 on LMArena WebDev / Code Arena (overall) | $20/M tokens | — | vs Claude Opus 5.5 |
| S | Anthropic | Models | Cloud | 1,768 on LMArena WebDev / Code Arena (overall) | $4/M tokens | — | vs Claude Opus 5.5 |
| A | OpenAI | Models | Cloud | 1,754 on LMArena WebDev / Code Arena (overall) | $4/M tokens | — | vs Claude Opus 5.5 |
| A | Anthropic | Models | Cloud | 1,742 on LMArena WebDev / Code Arena (overall) | $20/M tokens | — | vs Claude Opus 5.5 |
| B | Google | Models | Cloud | 1,678 on LMArena WebDev / Code Arena (overall) | $4/M tokens | — | vs Claude Opus 5.5 |
| B | Qwen3.8-Max Alibaba (Qwen) | Models | Cloud | 1,674 on LMArena WebDev / Code Arena (overall) | $3/M tokens | — | vs Claude Opus 5.5 |
| B | DeepSeek | Models | Local | 1,670 on LMArena WebDev / Code Arena (overall) | ~320 GB VRAM | — | |
| B | Muse Spark 1.3 Meta | Models | Cloud | 1,659 on LMArena WebDev / Code Arena (overall) | $2/M tokens | — | vs Claude Opus 5.5 |
| B | Moonshot AI | Models | Local | 1,655 on LMArena WebDev / Code Arena (overall) | ~1600 GB VRAM | — | |
| B | Muse Wonder Meta | Models | Cloud | 1,650 on LMArena WebDev / Code Arena (overall) | $8/M tokens | — | vs Claude Opus 5.5 |
| B | inclusionAI (Ant Group) | Models | Local | 41 on Artificial Analysis Intelligence Index | ~321 GB VRAM | — | |
| B | xAI | Models | Cloud | 1,638 on LMArena WebDev / Code Arena (overall) | $3/M tokens | — | |
| B | Xiaomi | Models | Local | 1,633 on LMArena WebDev / Code Arena (overall) | ~178 GB VRAM | — | |
| B | Tencent | Models | Local | 1,631 on LMArena WebDev / Code Arena (overall) | ~441 GB VRAM | — | |
| B | Alibaba (Qwen) | Models | Local | 40 on Artificial Analysis Intelligence Index | ~1370 GB VRAM | — | |
| C | Xiaomi | Models | Local | 1,626 on LMArena WebDev / Code Arena (overall) | ~585 GB VRAM | — | |
| C | Z.ai | Models | Local | 1,622 on LMArena WebDev / Code Arena (overall) | ~425 GB VRAM | — | |
| C | Z.ai | Models | Local | 1,607 on LMArena WebDev / Code Arena (overall) | ~185 GB VRAM | — | |
| C | Alibaba (Qwen) | Models | Local | 1,592 on LMArena WebDev / Code Arena (overall) | ~17 GB VRAM | — | |
| C | Anthropic | Models | Cloud | 1,586 on LMArena WebDev / Code Arena (overall) | $0.2/M tokens | — | |
| C | Google | Models | Cloud | 1,586 on LMArena WebDev / Code Arena (overall) | $1.5/M tokens | — | vs Claude Opus 5.5 |
| C | DeepSeek | Models | Local | 1,582 on LMArena WebDev / Code Arena (overall) | ~920 GB VRAM | — | |
| C | OpenAI | Models | Cloud | 1,577 on LMArena WebDev / Code Arena (overall) | $0.2/M tokens | — | |
| C | StepFun | Models | Local | 1,565 on LMArena WebDev / Code Arena (overall) | ~346 GB VRAM | — | |
| C | Mistral AI | Models | Cloud | 1,542 on LMArena WebDev / Code Arena (overall) | $2.06/M tokens | — | |
| C | Meta | Models | Local | 1,524 on LMArena WebDev / Code Arena (overall) | ~470 GB VRAM | — | |
| C | NVIDIA | Models | Local | 26 on Artificial Analysis Intelligence Index | ~72 GB VRAM | — | |
| C | MiniMax | Models | Local | 1,482 on LMArena WebDev / Code Arena (overall) | ~245 GB VRAM | — | |
| C | Alibaba (Qwen) | Models | Cloud | 25 on Artificial Analysis Intelligence Index | $0.56/M tokens | — | |
| C | Moonshot AI | Models | Local | 1,474 on LMArena WebDev / Code Arena (overall) | ~587 GB VRAM | — | |
| C | NVIDIA | Models | Local | 23 on Artificial Analysis Intelligence Index | ~321 GB VRAM | — | |
| C | Google | Models | Cloud | 1,447 on LMArena WebDev / Code Arena (overall) | $4.5/M tokens | — | |
| C | Reflection AI | Models | Local | 1,437 on LMArena WebDev / Code Arena (overall) | ~287 GB VRAM | — | |
| C | Google | Models | Cloud | 1,435 on LMArena WebDev / Code Arena (overall) | $0.85/M tokens | — | |
| C | Meituan (LongCat) | Models | Local | 19 on Artificial Analysis Intelligence Index | ~1014 GB VRAM | — | |
| C | Thinking Machines Lab | Models | Local | 1,414 on LMArena WebDev / Code Arena (overall) | ~557 GB VRAM | — | |
| C | Thinking Machines Lab | Models | Local | 1,410 on LMArena WebDev / Code Arena (overall) | ~159 GB VRAM | — | |
| C | Cohere | Models | Local | 13 on Artificial Analysis Intelligence Index | ~126 GB VRAM | — | |
| C | Mistral AI | Models | Local | 1,197 on LMArena WebDev / Code Arena (overall) | ~72 GB VRAM | — | |
| C | Google DeepMind | Models | Local | 1,368 on LMArena WebDev / Code Arena (overall) | ~19 GB VRAM | — | |
| C | OpenAI | Models | Local | 12 on Artificial Analysis Intelligence Index | ~80 GB VRAM | — | |
| C | OpenAI | Models | Local | 9 on Artificial Analysis Intelligence Index | ~16 GB VRAM | — | |
| C | Meta | Models | Local | 9 on Artificial Analysis Intelligence Index | ~230 GB VRAM | — | |
| C | Inception | Models | Cloud | 12 on Artificial Analysis Intelligence Index | $0.34/M tokens | — | |
| C | Mistral AI | Models | Local | 1,264 on LMArena WebDev / Code Arena (overall) | ~75 GB VRAM | — | |
| C | Mistral AI | Models | Local | 11 on Artificial Analysis Intelligence Index | ~69 GB VRAM | — | |
| C | Meta | Models | Local | 1,355 on LMArena WebDev / Code Arena (overall) | ~19 GB VRAM | — | |
| C | NVIDIA | Models | Local | 13 on Artificial Analysis Intelligence Index | ~20 GB VRAM | — | |
| C | Alibaba (Qwen) | Models | Local | 9 on Artificial Analysis Intelligence Index | ~47 GB VRAM | — | |
| C | Upstage | Models | Cloud | 1,371 on LMArena WebDev / Code Arena (overall) | $0.52/M tokens | — | |
| C | Arcee AI | Models | Local | 1,238 on LMArena WebDev / Code Arena (overall) | ~229 GB VRAM | — |
Tiers come only from public benchmarks (LMArena WebDev / Code Arena (overall), Artificial Analysis Intelligence Index); tools without a result of their own inherit the tier of the best model they offer. How we rank.