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Best AI APIs for workflow automation
Models you can call through a paid API, ranked from public benchmarks, with their price in this task’s unit.
STop ranked: Gemini 4 Argon (Google), 77.5% on AutomationBench-AA (Artificial Analysis).24 options listed · data verified 19 Oct 2026
Ranked list
| Tier | Name | Approach | Runs | Rated by | Price | Skill | Compare |
|---|---|---|---|---|---|---|---|
| S |  Gemini 4 ArgonGoogle | Models | Cloud | 77.5% on AutomationBench-AA (Artificial Analysis) | $4/M tokens | — | |
| A |  Claude Sonnet 5.5Anthropic | Models | Cloud | 71.8% on AutomationBench-AA (Artificial Analysis) | $4/M tokens | — | vs Gemini 4 Argon |
| A | Muse Wonder Meta | Models | Cloud | 71.3% on AutomationBench-AA (Artificial Analysis) | $8/M tokens | — | vs Gemini 4 Argon |
| A | Claude Opus 5.5 Anthropic | Models | Cloud | 69.5% on AutomationBench-AA (Artificial Analysis) | $8/M tokens | — | vs Gemini 4 Argon |
| A |  GPT-6 AstraOpenAI | Models | Cloud | 68.5% on AutomationBench-AA (Artificial Analysis) | $20/M tokens | — | vs Gemini 4 Argon |
| B |  DeepSeek-V4.1-Flash-1017DeepSeek | Models | Local | 66.6% on AutomationBench-AA (Artificial Analysis) | ~320 GB VRAM | — | |
| B |  Grok 4.7xAI | Models | Cloud | 65.6% on AutomationBench-AA (Artificial Analysis) | $3/M tokens | — | |
| B | GPT-6.1 Sol OpenAI | Models | Cloud | 64.9% on AutomationBench-AA (Artificial Analysis) | $4/M tokens | — | |
| B |  GLM-5.3Z.ai | Models | Local | 62.2% on AutomationBench-AA (Artificial Analysis) | ~425 GB VRAM | — | |
| B | GLM-5.3-Flash Z.ai | Models | Local | 60.4% on AutomationBench-AA (Artificial Analysis) | ~185 GB VRAM | — | |
| B | Gemini 3.8 Flash Google | Models | Cloud | 59.9% on AutomationBench-AA (Artificial Analysis) | $1.5/M tokens | — | vs Gemini 4 Argon |
| B |  Mistral Large 4 (preview)Mistral AI | Models | Cloud | 59.9% on AutomationBench-AA (Artificial Analysis) | $2.06/M tokens | — | |
| C | Claude Fable 5.1 Anthropic | Models | Cloud | 59.4% on AutomationBench-AA (Artificial Analysis) | $20/M tokens | — | vs Gemini 4 Argon |
| C |  MiMo-V2.6-ProXiaomi | Models | Local | 58.6% on AutomationBench-AA (Artificial Analysis) | ~585 GB VRAM | — | |
| C |  Kimi K3Moonshot AI | Models | Local | 58.3% on AutomationBench-AA (Artificial Analysis) | ~1600 GB VRAM | — | |
| C | Qwen3.8-Max Alibaba (Qwen) | Models | Cloud | 56.2% on AutomationBench-AA (Artificial Analysis) | $3/M tokens | — | |
| C | GPT-6 Luna OpenAI | Models | Cloud | 53.2% on AutomationBench-AA (Artificial Analysis) | $0.2/M tokens | — | |
| C |  Step 5 PreviewStepFun | Models | Local | 51% on AutomationBench-AA (Artificial Analysis) | ~346 GB VRAM | — | |
| C |  Muse Spark Open (816B-A42B)Meta | Models | Local | 49.7% on AutomationBench-AA (Artificial Analysis) | ~470 GB VRAM | — | |
| C |  Beam 1.0 (501B-A23B)Reflection AI | Models | Local | 48.5% on AutomationBench-AA (Artificial Analysis) | ~287 GB VRAM | — | |
| C |  Qwen3.8-27BAlibaba (Qwen) | Models | Local | 48.2% on AutomationBench-AA (Artificial Analysis) | ~17 GB VRAM | — | |
| C | Claude Haiku 5.5 Anthropic | Models | Cloud | 35.4% on AutomationBench-AA (Artificial Analysis) | $0.2/M tokens | — | |
| C |  InklingThinking Machines Lab | Models | Local | 5% on AutomationBench-AA (Artificial Analysis) | ~557 GB VRAM | — | |
| C |  Nemotron 3.5 Super VL 120B-A12BNVIDIA | Models | Local | 14.8% on AutomationBench-AA (Artificial Analysis) | ~72 GB VRAM | — |
Tiers come only from public benchmarks (AutomationBench-AA (Artificial Analysis)); tools without a result of their own inherit the tier of the best model they offer. How we rank.