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Best free AI for workflow automation
Options you can use without paying: free, open source or with a free tier, ranked from public benchmarks.
ATop ranked: ChatGPT (OpenAI), via GPT-6 Astra.14 options listed · data verified 19 Oct 2026
Ranked list
| Tier | Name | Approach | Runs | Rated by | Price | Skill | Compare |
|---|---|---|---|---|---|---|---|
| A |  ChatGPTOpenAI | Agent builders | Cloud | via GPT-6 Astra | Free tier · $20/mo | beginner | |
| B |  DeepSeek-V4.1-Flash-1017DeepSeek | Models | Local | 66.6% on AutomationBench-AA (Artificial Analysis) | ~320 GB VRAM | — | |
| 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 FlashGoogle | Models | Cloud | 59.9% on AutomationBench-AA (Artificial Analysis) | $1.5/M tokens | — | |
| 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 |  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 |  InklingThinking Machines Lab | Models | Local | 5% on AutomationBench-AA (Artificial Analysis) | ~557 GB VRAM | — | |
| C |  K2-Horizon-375B-A23BMBZUAI Institute of Foundation Models | Models | Local | 37.2% on AutomationBench-AA (Artificial Analysis) | ~218 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.