Workflow automation
Automation platforms that chain apps and AI steps into workflows that run on triggers, and agent builders that let AI decide and act across your tools.
Models are ranked by AutomationBench-AA (Artificial Analysis). Tools inherit the tier of the best model they offer. How we rank.
- Best overallSGemini 4 Argon77.5% on AutomationBench-AA (Artificial Analysis)
- Best valueSGemini 4 ArgonTier S for $4/M tokens
- Best free startAChatGPTFree tier · from $20/mo · via GPT-6 Astra
- Best local (≤24 GB GPU)CQwen3.8-27B~17 GB VRAM · 48.2% on AutomationBench-AA (Artificial Analysis)
- Tier: how close to the best result on the task's main public benchmark
- Outlined: a tool inherits the tier of the best model it offers
- No public result yet
- Cloud · Local: runs on your own hardware
Models
The engines themselves. Use them through an API or inside the apps on the right.
Automation platforms
Connect apps and AI steps into workflows that run on triggers or schedules.
Agent builders
Build AI agents that use your tools and act on your behalf, with little or no code.
Quality vs. price
AutomationBench-AA (Artificial Analysis) score against API price (USD per 1M tokens, blended 3:1 input:output, log scale). Up and to the left is better; the line joins the models that nothing else beats on both.
- Closed models
- Open-weights models
- Best-value frontier
Show as table
| Model | Weights | AutomationBench-AA (Artificial Analysis) | Price | Frontier |
|---|---|---|---|---|
| Gemini 4 Argon | Closed | 77.5% | $4/M tokens | Yes |
| Claude Sonnet 5.5 | Closed | 71.8% | $4/M tokens | |
| Muse Wonder | Closed | 71.3% | $8/M tokens | |
| Claude Opus 5.5 | Closed | 69.5% | $8/M tokens | |
| GPT-6 Astra | Closed | 68.5% | $20/M tokens | |
| DeepSeek-V4.1-Flash-1017 | Open | 66.6% | $0.52/M tokens | Yes |
| Grok 4.7 | Closed | 65.6% | $3/M tokens | |
| GPT-6.1 Sol | Closed | 64.9% | $4/M tokens | |
| GLM-5.3 | Open | 62.2% | $2.15/M tokens | |
| GLM-5.3-Flash | Open | 60.4% | $0.24/M tokens | Yes |
| Gemini 3.8 Flash | Closed | 59.9% | $1.5/M tokens | |
| Mistral Large 4 (preview) | Closed | 59.9% | $2.06/M tokens | |
| Claude Fable 5.1 | Closed | 59.4% | $20/M tokens | |
| MiMo-V2.6-Pro | Open | 58.6% | $0.54/M tokens | |
| Kimi K3 | Open | 58.3% | $6/M tokens | |
| Qwen3.8-Max | Closed | 56.2% | $3/M tokens | |
| GPT-6 Luna | Closed | 53.2% | $0.2/M tokens | Yes |
| Step 5 Preview | Open | 51% | $1.43/M tokens | |
| Muse Spark Open (816B-A42B) | Open | 49.7% | $2/M tokens | |
| Beam 1.0 (501B-A23B) | Open | 48.5% | $1.5/M tokens | |
| Qwen3.8-27B | Open | 48.2% | $0.96/M tokens | |
| Claude Haiku 5.5 | Closed | 35.4% | $0.2/M tokens | |
| Nemotron 3.5 Super VL 120B-A12B | Open | 14.8% | $0.18/M tokens | Yes |
| Inkling | Open | 5% | $1.76/M tokens |
Quality vs. setup
The same tools as the map, placed by how good the results can be (up) and how much setup they take (right). Top-left is the easiest way to top quality; further right buys control, privacy or price at the cost of setup. Models are left out: you reach them through these tools.
- Cloud
- Local: runs on your hardware
- Hollow: tier inherited from the best model the tool offers
Not placed (no public result yet): n8n, AutoGPT Platform, Dify, Langflow, CrewAI, Sim, Activepieces, Coze Studio, Kortix, Dust, Agentforce, Automation Anywhere, Google Workspace Studio, Gumloop, IFTTT, Latenode, Lindy, Make, Microsoft Copilot Studio, MindStudio, Notion, Power Automate, Relevance AI, StackAI, Tray.ai, Twin, UiPath, Workato, Zapier
Everything, in order
| Tier | Name | Approach | Runs | Rated by | Price | Skill |
|---|---|---|---|---|---|---|
| S | Google | Models | Cloud | 77.5% on AutomationBench-AA (Artificial Analysis) | $4/M tokens | — |
| A | Anthropic | Models | Cloud | 71.8% on AutomationBench-AA (Artificial Analysis) | $4/M tokens | — |
| A | Muse Wonder Meta | Models | Cloud | 71.3% on AutomationBench-AA (Artificial Analysis) | $8/M tokens | — |
| A | Anthropic | Models | Cloud | 69.5% on AutomationBench-AA (Artificial Analysis) | $8/M tokens | — |
| A | OpenAI | Models | Cloud | 68.5% on AutomationBench-AA (Artificial Analysis) | $20/M tokens | — |
| A | OpenAI | Agent builders | Cloud | via GPT-6 Astra | Free tier · $20/mo | beginner |
| B | DeepSeek | Models | Local | 66.6% on AutomationBench-AA (Artificial Analysis) | ~320 GB VRAM | — |
| B | xAI | Models | Cloud | 65.6% on AutomationBench-AA (Artificial Analysis) | $3/M tokens | — |
| B | OpenAI | Models | Cloud | 64.9% on AutomationBench-AA (Artificial Analysis) | $4/M tokens | — |
| B | Z.ai | Models | Local | 62.2% on AutomationBench-AA (Artificial Analysis) | ~425 GB VRAM | — |
| B | Z.ai | Models | Local | 60.4% on AutomationBench-AA (Artificial Analysis) | ~185 GB VRAM | — |
| B | Google | Models | Cloud | 59.9% on AutomationBench-AA (Artificial Analysis) | $1.5/M tokens | — |
| B | Mistral AI | Models | Cloud | 59.9% on AutomationBench-AA (Artificial Analysis) | $2.06/M tokens | — |
| C | Anthropic | Models | Cloud | 59.4% on AutomationBench-AA (Artificial Analysis) | $20/M tokens | — |
| C | Xiaomi | Models | Local | 58.6% on AutomationBench-AA (Artificial Analysis) | ~585 GB VRAM | — |
| C | Moonshot 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 | OpenAI | Models | Cloud | 53.2% on AutomationBench-AA (Artificial Analysis) | $0.2/M tokens | — |
| C | StepFun | Models | Local | 51% on AutomationBench-AA (Artificial Analysis) | ~346 GB VRAM | — |
| C | Meta | Models | Local | 49.7% on AutomationBench-AA (Artificial Analysis) | ~470 GB VRAM | — |
| C | Reflection AI | Models | Local | 48.5% on AutomationBench-AA (Artificial Analysis) | ~287 GB VRAM | — |
| C | Alibaba (Qwen) | Models | Local | 48.2% on AutomationBench-AA (Artificial Analysis) | ~17 GB VRAM | — |
| C | Anthropic | Models | Cloud | 35.4% on AutomationBench-AA (Artificial Analysis) | $0.2/M tokens | — |
| C | Thinking Machines Lab | Models | Local | 5% on AutomationBench-AA (Artificial Analysis) | ~557 GB VRAM | — |
| C | MBZUAI Institute of Foundation Models | Models | Local | 37.2% on AutomationBench-AA (Artificial Analysis) | ~218 GB VRAM | — |
| C | NVIDIA | Models | Local | 14.8% on AutomationBench-AA (Artificial Analysis) | ~72 GB VRAM | — |
| – | n8n | Automation platforms | Local | No public result yet | Free | intermediate |
| – | Significant Gravitas | Agent builders + Automation platforms | Local | No public result yet | Free | advanced |
| – | LangGenius | Automation platforms + Agent builders | Local | No public result yet | Free | intermediate |
| – | Langflow | Automation platforms | Local | No public result yet | Free | intermediate |
| – | CrewAI | Agent builders | Local | No public result yet | Free | advanced |
| – | Sim Studio | Automation platforms + Agent builders | Local | No public result yet | Free tier · $25/mo | intermediate |
| – | Activepieces | Automation platforms | Local | No public result yet | Free | intermediate |
| – | ByteDance (Coze) | Agent builders + Automation platforms | Local | No public result yet | Free | advanced |
| – | Kortix | Agent builders | Local | No public result yet | Free | advanced |
| – | Dust | Agent builders | Cloud | No public result yet | Free tier | beginner |
| – | Salesforce | Agent builders | Cloud | No public result yet | — | intermediate |
| – | Automation Anywhere | Automation platforms | Cloud | No public result yet | — | intermediate |
| – | Google | Agent builders | Cloud | No public result yet | — | beginner |
| – | Gumloop | Automation platforms + Agent builders | Cloud | No public result yet | $37/mo | intermediate |
| – | IFTTT | Automation platforms | Cloud | No public result yet | Free tier · $2.99/mo | beginner |
| – | Latenode | Automation platforms | Cloud | No public result yet | Free tier | intermediate |
| – | Lindy | Agent builders | Cloud | No public result yet | $30/mo | beginner |
| – | Make | Automation platforms | Cloud | No public result yet | Free tier | intermediate |
| – | Microsoft | Agent builders | Cloud | No public result yet | — | intermediate |
| – | MindStudio | Agent builders | Cloud | No public result yet | Free tier · $20/mo | beginner |
| – | Notion Labs | Agent builders | Cloud | No public result yet | Free tier · $24/mo | beginner |
| – | Microsoft | Automation platforms | Cloud | No public result yet | Free tier · $15/mo | intermediate |
| – | Relevance AI | Agent builders | Cloud | No public result yet | — | intermediate |
| – | StackAI | Agent builders | Cloud | No public result yet | — | beginner |
| – | Tray.ai | Automation platforms | Cloud | No public result yet | — | intermediate |
| – | Twin | Agent builders | Cloud | No public result yet | $29/mo | beginner |
| – | UiPath | Automation platforms | Cloud | No public result yet | Free tier · $25/mo | intermediate |
| – | Workato | Automation platforms | Cloud | No public result yet | — | intermediate |
| – | Zapier | Automation platforms + Agent builders | Cloud | No public result yet | Free tier · $20/mo | beginner |
Benchmarks used
- AutomationBench-AA (Artificial Analysis) by Artificial Analysis (benchmark developed by Zapier) (automated tests, Score: average share of each task's objectives completed across 657 business-workflow tasks in 40 simulated SaaS apps via REST APIs; a task with any guardrail (business-rule) violation scores zero) · snapshot 19 Oct 202632 of the 227 models on AA have a score (page: '32 of 227 models'); launched 2026-07-06 and since re-run on current versions (Gemini 4 Argon, Claude Opus/Sonnet 5.5, Fable 5.1, GPT-6 Astra/Sol/Luna, Grok 4.7, Muse Wonder, Kimi K3, GLM-5.3, DeepSeek V4.1 Flash 1017 and others; newest row Muse Wonder Full, released 2026-10-12). Run independently by AA on Zapier's private task subset, one run per task with a 50-turn cap; Zapier's own hosted board (zapier.com/benchmarks, v1.0.6, 126 rows, leader Gemini 4 Argon (High) 51.29%) uses a strict all-assertions-pass metric and is run by the benchmark's author. Models only: automation platforms and agent builders are not ranked, so tools could only inherit tiers via uses_models. Untracked: MiniMax-M3.1-Flash (72.52, #2).