AutomationBench
Agent completes end-to-end business workflows inside a simulated company exposing dozens of REST APIs. Graded on resulting state.
Gemini cards report the private set from Zapier's leaderboard. Zapier ships 1.0.x patch releases, such as 1.0.6 on July 31st, 2026, that fix task fairness and make private tasks harder. It then reruns all models, so the board stays one record.
- Made by
- Zapier
- Released
- April 2026
- Kind
- Apps and MCP servers
- Level
- University
- Scored
- Checked automatically
- Answers
- Agent task
- Tasks
- Public, plus a private test set
- Strongest model tested
- Claude Fable 5.2 #1 on the capability index
- Last in a launch post
- November 2026
- Last model added
- November 2026
- Scores refreshed
- November 13th, 2026
In the authors’ words
Existing AI benchmarks for software automation rarely combine cross-application coordination, autonomous API discovery, and policy adherence. Real business workflows demand all three: a single task may span a CRM, inbox, calendar, and messaging platform - requiring the agent to find the right endpoints, follow a policy document, and write correct data to each system. To address this gap, we introduce AutomationBench, a benchmark for evaluating AI agents on cross-application workflow orchestration via REST APIs. Drawing on real workflow patterns from Zapier's platform, tasks span Sales, Marketing, Operations, Support, Finance, and HR domains. Agents must discover relevant endpoints themselves, follow layered business rules, and navigate environments with irrelevant and sometimes misleading records. Grading is programmatic and end-state only: whether the correct data ended up in the right systems. Even the best frontier models currently score below 10%. AutomationBench provides a challenging, realistic measure of where current models stand relative to the agentic capabilities businesses actually need.
Known issues
A published audit found a problem in AutomationBench. We summarize each finding in our words and link its source. The scores on this page don't include any fixes. See all audits
- Unclear tasks Broken grader Fixed in a copy
Prime Intellect reports that AutomationBench describes API request bodies in prose instead of JSON Schema, so models had to guess parameters. It also reports graders that enforced requirements the tasks did not state.
After the fixes, Claude Opus 5.5 at max effort scores 92.15% (70.83% strict) and DeepSeek V4.1-Flash 1017 scores 91.61% (69.50% strict) on the public set.
the actions the models can discover with the search tool describe their request bodies in prose rather than in JSON Schema
Learnings from Auditing Public Evaluations by Prime Intellect, November 3rd, 2026
Gemini 4 Carbon leads with 53.9%
Best score per entry from the benchmark's own leaderboard, read on November 13th, 2026. Where a model ran with several settings or harnesses, we keep its best. Every run is in the next chart. Names in gray aren't in our model list: fine-tunes, agent systems, products and older models. They don't count toward leaders.
Kimi K3.1 Pro leads with 73.3%, claims included
Best score per model from every source, including labs’ own numbers and claims Epoch AI collected from reports and papers. Labs pick their own settings, so a claim can beat an independent run of the same model.
- 53.9
Gemini 4 Carbon
- 51.5 Claude Fable 5.2
- 51.3
Gemini 4 Argon
- 51.1
Gemini 4 Hydrogen
- 44.8 Claude Sonnet 5.5
- 42.5 Claude Opus 5.5
- 41.4 GPT-6 Astra
- 33.2 GPT-6 Sol
- 31.4 Claude Fable 5.1 (with Opus 5 Fallback)
- 30.4
Gemini 3.7 Flash
- 29.7
Gemini 3.8 Flash
- 28.8 GPT-5.6 Sol
- 26.9 Claude Opus 5
- 23.6 GPT-5.6 Terra
- 22.7 Kimi K3
- 22.4 Claude Fable 5.1
- 20.7
Muse Spark 1.3
- 20.7 GPT-6 Luna
- 18.1
DeepSeek-V4-Flash
- 17.1 Claude Fable 5
- 17.1 GPT-5.6 Luna
- 17.1
Gemini 3.6 Flash
- 16.9 Claude Opus 4.8
- 16.6 GPT-5.5
- 13.4 Claude Opus 4.7
- 13.4
Gemini 3.5 Flash
- 12.0 Claude Haiku 5.5
- 11.6 GPT-5.4
- 10.7 Claude Sonnet 5
- 8.68
Gemini 3.1 Pro
- 7.76 GLM-5.2
- 6.20 GLM-5.1
- 5.33 Claude Sonnet 4.6
- 4.87
MiniMax-M3
- 4.30
Qwen 3.6 Plus
- 3.96
Gemini 3.5 Flash-Lite
- 3.70
Qwen3.7-Plus
- 3.20 Kimi K2.7 Code
- 2.59 Kimi K2.6
- 1.70
Gemma 4 31B IT
- 0.46 Claude Haiku 4.5
- 0.46
MiniMax-M2.7
- 0.15 gpt-oss-120b
- 1
Gemini 4 Carbon high 53.9%
- 2 Claude Fable 5.2 max 51.5%
- 3
Gemini 4 Argon high 51.3%
- 4
Gemini 4 Hydrogen high 51.1%
- 5 Claude Sonnet 5.5 max 44.8%
- 6 Claude Opus 5.5 max 42.5%
- 7 GPT-6 Astra max 41.4%
- 8 GPT-6 Sol xhigh 33.2%
- 9 Claude Fable 5.1 (with Opus 5 Fallback) 31.4%
- 10
Gemini 3.7 Flash high 30.4%
- 11
Gemini 3.8 Flash medium 29.7%
- 12 GPT-5.6 Sol max 28.8%
- 13 Claude Opus 5 max 26.9%
- 14 GPT-5.6 Terra max 23.6%
- 15 Kimi K3 22.7%
- 16 Claude Fable 5.1 max 22.4%
- 17
Muse Spark 1.3 max 20.7%
- 18 GPT-6 Luna max 20.7%
- 19
DeepSeek-V4-Flash max 18.1%
- 20 Claude Fable 5 max 17.1%
- 21 GPT-5.6 Luna max 17.1%
- 22
Gemini 3.6 Flash high 17.1%
- 23 Claude Opus 4.8 xhigh 16.9%
- 24 GPT-5.5 xhigh 16.6%
- 25 Claude Opus 4.7 max 13.4%
- 26
Gemini 3.5 Flash high 13.4%
- 27 Claude Haiku 5.5 max 12%
- 28 GPT-5.4 xhigh 11.6%
- 29 Claude Sonnet 5 max 10.7%
- 30
Gemini 3.1 Pro high 8.68%
- 31 GLM-5.2 max 7.76%
- 32 GLM-5.1 max 6.20%
- 33 Claude Sonnet 4.6 max 5.33%
- 34
MiniMax-M3 max 4.87%
- 35
Qwen 3.6 Plus high 4.30%
- 36
Gemini 3.5 Flash-Lite medium 3.96%
- 37
Qwen3.7-Plus 3.70%
- 38 Kimi K2.7 Code 3.20%
- 39 Kimi K2.6 2.59%
- 40
Gemma 4 31B IT max 1.70%
- 41 Claude Haiku 4.5 0.46%
- 42
MiniMax-M2.7 high 0.46%
- 43 gpt-oss-120b high 0.15%
Source: Official AutomationBench leaderboard
- 73.3 Kimi K3.1 Pro
- 62.8
MiniMax-M3.1-Flash
- 60.5
DeepSeek V4.1 Flash 1017
- 59.9
Mistral Large 4
- 56.2
Tencent Hy4
- 54.8
DeepSeek V4.1 Flash
- 53.9
Gemini 4 Carbon
- 53.1 MiMo-V2.6 Pro
- 52.5
Ling-3.1-flash
- 51.8
LongCat-2.5
- 51.5 Claude Fable 5.2
- 51.3
Gemini 4 Argon
- 51.1
Gemini 4 Hydrogen
- 50.8
Qwen3.8 Max (0902)
- 49.6
Muse Spark 1.3
- 48.8 GLM-5.3-Flash
- 48.2 GLM-5.3
- 45.6
Inkling 2 Small
- 45.4
Muse Wonder Full
- 44.8 Claude Sonnet 5.5
- 44.0
Step 5 Preview
- 42.5 Claude Opus 5.5
- 41.4 GPT-6 Astra
- 41.3 LFM3-1.7B
- 39.1
Muse Wonder
- 37.8
Muse Ember
- 37.0 Beam 1.0
- 36.1 GPT-6.1 Sol
- 33.2 GPT-6 Sol
- 32.4
Nemotron 3.5 Super VL
- 32.1
Tencent Hy4 preview
- 31.8
DeepSeek V4 Pro 0813
- 31.4 Claude Fable 5.1
- 30.8 Kimi K3
- 30.4
Gemini 3.7 Flash
- 29.7
Gemini 3.8 Flash
- 28.8 GPT-5.6 Sol
- 27.7 LFM2.5-24B-A2B
- 27.3
Qwen 3.8 Max
- 26.9 Claude Opus 5
- 25.7
DeepSeek-V4-Flash-Vision-Exp
- 25.1
DeepSeek V4 Flash 0731
- 23.6 GPT-5.6 Terra
- 22.3
Solar Mini 4
- 20.7 GPT-6 Luna
- 18.1
DeepSeek-V4-Flash
- 17.4 Claude Fable 5
- 17.1 GPT-5.6 Luna
- 17.1
Gemini 3.6 Flash
- 16.9 Claude Opus 4.8
- 16.6 GPT-5.5
- 13.5 Claude Sonnet 5
- 13.4 Claude Opus 4.7
- 13.4
Gemini 3.5 Flash
- 12.0 Claude Haiku 5.5
- 11.6 GPT-5.4
- 8.68
Gemini 3.1 Pro
- 7.76 GLM-5.2
- 6.20 GLM-5.1
- 5.33 Claude Sonnet 4.6
- 4.87
MiniMax-M3
- 4.30
Qwen 3.6 Plus
- 3.96
Gemini 3.5 Flash-Lite
- 3.70
Qwen3.7-Plus
- 3.20 Kimi K2.7 Code
- 2.59 Kimi K2.6
- 1.70
Gemma 4 31B IT
- 0.46 Claude Haiku 4.5
- 0.46
MiniMax-M2.7
- 0.15 gpt-oss-120b
- 1 Kimi K3.1 Pro 73.3%
- 2
MiniMax-M3.1-Flash 62.8%
- 3
DeepSeek V4.1 Flash 1017 60.5%
- 4
Mistral Large 4 59.9%
- 5
Tencent Hy4 56.2%
- 6
DeepSeek V4.1 Flash 54.8%
- 7
Gemini 4 Carbon 53.9%
- 8 MiMo-V2.6 Pro 53.1%
- 9
Ling-3.1-flash 52.5%
- 10
LongCat-2.5 51.8%
- 11 Claude Fable 5.2 max 51.5%
- 12
Gemini 4 Argon 51.3%
- 13
Gemini 4 Hydrogen high 51.1%
- 14
Qwen3.8 Max (0902) 50.8%
- 15
Muse Spark 1.3 49.6%
- 16 GLM-5.3-Flash 48.8%
- 17 GLM-5.3 48.2%
- 18
Inkling 2 Small 45.6%
- 19
Muse Wonder Full 45.4%
- 20 Claude Sonnet 5.5 max 44.8%
- 21
Step 5 Preview 44%
- 22 Claude Opus 5.5 max 42.5%
- 23 GPT-6 Astra max 41.4%
- 24 LFM3-1.7B 41.3%
- 25
Muse Wonder 39.1%
- 26
Muse Ember 37.8%
- 27 Beam 1.0 37%
- 28 GPT-6.1 Sol 36.1%
- 29 GPT-6 Sol xhigh 33.2%
- 30
Nemotron 3.5 Super VL 32.4%
- 31
Tencent Hy4 preview 32.1%
- 32
DeepSeek V4 Pro 0813 31.8%
- 33 Claude Fable 5.1 31.4%
- 34 Kimi K3 30.8%
- 35
Gemini 3.7 Flash high 30.4%
- 36
Gemini 3.8 Flash medium 29.7%
- 37 GPT-5.6 Sol max 28.8%
- 38 LFM2.5-24B-A2B 27.7%
- 39
Qwen 3.8 Max 27.3%
- 40 Claude Opus 5 max 26.9%
- 41
DeepSeek-V4-Flash-Vision-Exp 25.7%
- 42
DeepSeek V4 Flash 0731 25.1%
- 43 GPT-5.6 Terra max 23.6%
- 44
Solar Mini 4 22.3%
- 45 GPT-6 Luna max 20.7%
- 46
DeepSeek-V4-Flash max 18.1%
- 47 Claude Fable 5 17.4%
- 48 GPT-5.6 Luna max 17.1%
- 49
Gemini 3.6 Flash high 17.1%
- 50 Claude Opus 4.8 xhigh 16.9%
- 51 GPT-5.5 xhigh 16.6%
- 52 Claude Sonnet 5 13.5%
- 53 Claude Opus 4.7 max 13.4%
- 54
Gemini 3.5 Flash high 13.4%
- 55 Claude Haiku 5.5 max 12%
- 56 GPT-5.4 xhigh 11.6%
- 57
Gemini 3.1 Pro high 8.68%
- 58 GLM-5.2 max 7.76%
- 59 GLM-5.1 max 6.20%
- 60 Claude Sonnet 4.6 max 5.33%
- 61
MiniMax-M3 max 4.87%
- 62
Qwen 3.6 Plus high 4.30%
- 63
Gemini 3.5 Flash-Lite medium 3.96%
- 64
Qwen3.7-Plus 3.70%
- 65 Kimi K2.7 Code 3.20%
- 66 Kimi K2.6 2.59%
- 67
Gemma 4 31B IT max 1.70%
- 68 Claude Haiku 4.5 0.46%
- 69
MiniMax-M2.7 high 0.46%
- 70 gpt-oss-120b high 0.15%
Sources: Labs’ model cards and official AutomationBench leaderboard
| # | Entry | Score | Setting | Date | Source |
|---|---|---|---|---|---|
| 1 | | 53.9% | high | Oct 2026 | Official leaderboard |
| 2 | Claude Fable 5.2 | 51.5% | max, default fallbacks | Nov 2026 | Official leaderboard |
| 3 | | 51.3% | high | Sep 2026 | Official leaderboard |
| 4 | | 51.1% | high | Nov 2026 | Official leaderboard |
| 5 | Claude Sonnet 5.5 | 44.8% | max, default fallbacks | Sep 2026 | Official leaderboard |
| 6 | Claude Opus 5.5 | 42.5% | max, default fallbacks | Sep 2026 | Official leaderboard |
| 7 | GPT-6 Astra | 41.4% | max | Sep 2026 | Official leaderboard |
| 8 | GPT-6 Sol | 33.2% | xhigh | Sep 2026 | Official leaderboard |
| 9 | Claude Fable 5.1 (with Opus 5 Fallback) | 31.4% | Official leaderboard | ||
| 10 | | 30.4% | high | Aug 2026 | Official leaderboard |
| 11 | | 29.7% | medium | Sep 2026 | Official leaderboard |
| 12 | GPT-5.6 Sol | 28.8% | max | Jul 2026 | Official leaderboard |
| 13 | Claude Opus 5 | 26.9% | max | Jul 2026 | Official leaderboard |
| 14 | GPT-5.6 Terra | 23.6% | max | Jul 2026 | Official leaderboard |
| 15 | Kimi K3 | 22.7% | Jul 2026 | Official leaderboard | |
| 16 | Claude Fable 5.1 | 22.4% | max | Sep 2026 | Official leaderboard |
| 17 | | 20.7% | max | Sep 2026 | Official leaderboard |
| 18 | GPT-6 Luna | 20.7% | max | Sep 2026 | Official leaderboard |
| 19 | | 18.1% | max | Apr 2026 | Official leaderboard |
| 20 | Claude Fable 5 | 17.1% | max | Jun 2026 | Official leaderboard |
| 21 | GPT-5.6 Luna | 17.1% | max | Jul 2026 | Official leaderboard |
| 22 | | 17.1% | high | Jul 2026 | Official leaderboard |
| 23 | Claude Opus 4.8 | 16.9% | xhigh | May 2026 | Official leaderboard |
| 24 | GPT-5.5 | 16.6% | xhigh | Apr 2026 | Official leaderboard |
| 25 | Claude Opus 4.7 | 13.4% | max | Apr 2026 | Official leaderboard |
| 26 | | 13.4% | high | May 2026 | Official leaderboard |
| 27 | Claude Haiku 5.5 | 12% | max, default fallbacks | Oct 2026 | Official leaderboard |
| 28 | GPT-5.4 | 11.6% | xhigh | Mar 2026 | Official leaderboard |
| 29 | Claude Sonnet 5 | 10.7% | max | Jun 2026 | Official leaderboard |
| 30 | | 8.68% | high | Feb 2026 | Official leaderboard |
| 31 | GLM-5.2 | 7.76% | max | Jun 2026 | Official leaderboard |
| 32 | GLM-5.1 | 6.20% | max | Apr 2026 | Official leaderboard |
| 33 | Claude Sonnet 4.6 | 5.33% | max | Feb 2026 | Official leaderboard |
| 34 | | 4.87% | max | Jun 2026 | Official leaderboard |
| 35 | | 4.30% | high | Mar 2026 | Official leaderboard |
| 36 | | 3.96% | medium | Jul 2026 | Official leaderboard |
| 37 | | 3.70% | Jun 2026 | Official leaderboard | |
| 38 | Kimi K2.7 Code | 3.20% | Jun 2026 | Official leaderboard | |
| 39 | Kimi K2.6 | 2.59% | Apr 2026 | Official leaderboard | |
| 40 | | 1.70% | max | Apr 2026 | Official leaderboard |
| 41 | Claude Haiku 4.5 | 0.46% | Oct 2025 | Official leaderboard | |
| 42 | | 0.46% | high | Mar 2026 | Official leaderboard |
| 43 | gpt-oss-120b | 0.15% | high | Aug 2025 | Official leaderboard |
| # | Model | Score | Setting | Date | Source |
|---|---|---|---|---|---|
| 1 | Kimi K3.1 Pro | 73.3% | Oct 2026 | Lab model card | |
| 2 | | 62.8% | Oct 2026 | Lab model card | |
| 3 | | 60.5% | Oct 2026 | Lab model card | |
| 4 | | 59.9% | Oct 2026 | Lab model card | |
| 5 | | 56.2% | Nov 2026 | Lab model card | |
| 6 | | 54.8% | Sep 2026 | Lab model card | |
| 7 | | 53.9% | Oct 2026 | Lab model card | |
| 8 | MiMo-V2.6 Pro | 53.1% | Sep 2026 | Lab model card | |
| 9 | | 52.5% | Oct 2026 | Lab model card | |
| 10 | | 51.8% | Nov 2026 | Lab model card | |
| 11 | Claude Fable 5.2 | 51.5% | max, default fallbacks | Nov 2026 | Official leaderboard |
| 12 | | 51.3% | Oct 2026 | Lab model card | |
| 13 | | 51.1% | high | Nov 2026 | Official leaderboard |
| 14 | | 50.8% | Sep 2026 | Lab model card | |
| 15 | | 49.6% | Sep 2026 | Lab model card | |
| 16 | GLM-5.3-Flash | 48.8% | Aug 2026 | Lab model card | |
| 17 | GLM-5.3 | 48.2% | Aug 2026 | Lab model card | |
| 18 | | 45.6% | Nov 2026 | Lab model card | |
| 19 | | 45.4% | Oct 2026 | Lab model card | |
| 20 | Claude Sonnet 5.5 | 44.8% | max, default fallbacks | Sep 2026 | Official leaderboard |
| 21 | | 44% | Sep 2026 | Lab model card | |
| 22 | Claude Opus 5.5 | 42.5% | max, default fallbacks | Sep 2026 | Official leaderboard |
| 23 | GPT-6 Astra | 41.4% | max | Sep 2026 | Official leaderboard |
| 24 | LFM3-1.7B | 41.3% | Oct 2026 | Lab model card | |
| 25 | | 39.1% | Oct 2026 | Lab model card | |
| 26 | | 37.8% | Nov 2026 | Lab model card | |
| 27 | Beam 1.0 | 37% | Oct 2026 | Lab model card | |
| 28 | GPT-6.1 Sol | 36.1% | Sep 2026 | Lab model card | |
| 29 | GPT-6 Sol | 33.2% | xhigh | Sep 2026 | Official leaderboard |
| 30 | | 32.4% | Oct 2026 | Lab model card | |
| 31 | | 32.1% | Aug 2026 | Lab model card | |
| 32 | | 31.8% | Aug 2026 | Lab model card | |
| 33 | Claude Fable 5.1 | 31.4% | Sep 2026 | Lab model card | |
| 34 | Kimi K3 | 30.8% | Jul 2026 | Lab model card | |
| 35 | | 30.4% | high | Aug 2026 | Official leaderboard |
| 36 | | 29.7% | medium | Sep 2026 | Official leaderboard |
| 37 | GPT-5.6 Sol | 28.8% | max | Jul 2026 | Official leaderboard |
| 38 | LFM2.5-24B-A2B | 27.7% | Oct 2026 | Lab model card | |
| 39 | | 27.3% | Aug 2026 | Lab model card | |
| 40 | Claude Opus 5 | 26.9% | max | Jul 2026 | Official leaderboard |
| 41 | | 25.7% | Aug 2026 | Lab model card | |
| 42 | | 25.1% | Jul 2026 | Lab model card | |
| 43 | GPT-5.6 Terra | 23.6% | max | Jul 2026 | Official leaderboard |
| 44 | | 22.3% | Oct 2026 | Lab model card | |
| 45 | GPT-6 Luna | 20.7% | max | Sep 2026 | Official leaderboard |
| 46 | | 18.1% | max | Apr 2026 | Official leaderboard |
| 47 | Claude Fable 5 | 17.4% | Jun 2026 | Lab model card | |
| 48 | GPT-5.6 Luna | 17.1% | max | Jul 2026 | Official leaderboard |
| 49 | | 17.1% | high | Jul 2026 | Official leaderboard |
| 50 | Claude Opus 4.8 | 16.9% | xhigh | May 2026 | Official leaderboard |
| 51 | GPT-5.5 | 16.6% | xhigh | Apr 2026 | Official leaderboard |
| 52 | Claude Sonnet 5 | 13.5% | Jun 2026 | Lab model card | |
| 53 | Claude Opus 4.7 | 13.4% | max | Apr 2026 | Official leaderboard |
| 54 | | 13.4% | high | May 2026 | Official leaderboard |
| 55 | Claude Haiku 5.5 | 12% | max, default fallbacks | Oct 2026 | Official leaderboard |
| 56 | GPT-5.4 | 11.6% | xhigh | Mar 2026 | Official leaderboard |
| 57 | | 8.68% | high | Feb 2026 | Official leaderboard |
| 58 | GLM-5.2 | 7.76% | max | Jun 2026 | Official leaderboard |
| 59 | GLM-5.1 | 6.20% | max | Apr 2026 | Official leaderboard |
| 60 | Claude Sonnet 4.6 | 5.33% | max | Feb 2026 | Official leaderboard |
| 61 | | 4.87% | max | Jun 2026 | Official leaderboard |
| 62 | | 4.30% | high | Mar 2026 | Official leaderboard |
| 63 | | 3.96% | medium | Jul 2026 | Official leaderboard |
| 64 | | 3.70% | Jun 2026 | Official leaderboard | |
| 65 | Kimi K2.7 Code | 3.20% | Jun 2026 | Official leaderboard | |
| 66 | Kimi K2.6 | 2.59% | Apr 2026 | Official leaderboard | |
| 67 | | 1.70% | max | Apr 2026 | Official leaderboard |
| 68 | Claude Haiku 4.5 | 0.46% | Oct 2025 | Official leaderboard | |
| 69 | | 0.46% | high | Mar 2026 | Official leaderboard |
| 70 | gpt-oss-120b | 0.15% | high | Aug 2025 | Official leaderboard |
Labs report scores for 47 models in their cards. Switch the scores above to rank them together.
The best score, 53.9%, costs $2.12 a task
Runs on the cost frontier score higher than any run that's cheaper. Gemini 4 Hydrogen at high comes within 2.7 points of the best for $0.82 a task, 3 times cheaper. The costs are the leaderboard's own estimates, so compare them only within this benchmark.
Source: Official AutomationBench leaderboard
| Model | Effort | Harness | Score | Cost per task | Output tokens |
|---|---|---|---|---|---|
| | high | 53.9% | $2.12 | ||
| | medium | 53% | $1.65 | ||
| Claude Fable 5.2 | max | default fallbacks | 51.5% | $4.64 | |
| | high | 51.3% | $1.70 | ||
| | high | 51.1% | $0.82 | ||
| | medium | 50.1% | $1.54 | ||
| Claude Fable 5.2 | xhigh | default fallbacks | 48% | $2.29 | |
| | medium | 46.7% | $0.41 | ||
| Claude Sonnet 5.5 | max | default fallbacks | 44.8% | $1.14 | |
| Claude Fable 5.2 | high | default fallbacks | 44.3% | $1.69 | |
| Claude Opus 5.5 | max | default fallbacks | 42.5% | $1.44 | |
| GPT-6 Astra | max | 41.4% | $1.73 | ||
| Claude Fable 5.2 | medium | default fallbacks | 40.2% | $1.35 | |
| Claude Fable 5.2 | low | default fallbacks | 39.7% | $1.30 | |
| GPT-6 Astra | xhigh | 39% | $1.50 | ||
| GPT-6 Astra | high | 37.1% | $1.44 | ||
| Claude Sonnet 5.5 | xhigh | default fallbacks | 36.8% | $0.48 | |
| Claude Opus 5.5 | xhigh | default fallbacks | 35.8% | $0.89 | |
| GPT-6 Astra | medium | 34.1% | $1.27 | ||
| GPT-6 Sol | xhigh | 33.2% | $0.27 | ||
| Claude Opus 5.5 | high | default fallbacks | 33% | $0.71 | |
| GPT-6 Sol | max | 32% | $0.34 | ||
| | low | 31.5% | $1.02 | ||
| GPT-6 Sol | high | 31.2% | $0.24 | ||
| | low | 30.6% | $0.18 | ||
| | high | 30.4% | $0.61 | ||
| GPT-6 Astra | low | 30.3% | $1.08 | ||
| | medium | 29.7% | $0.55 | ||
| | high | 29.7% | $0.62 | ||
| Claude Opus 5.5 | medium | default fallbacks | 29.5% | $0.65 | |
| Claude Sonnet 5.5 | high | default fallbacks | 29.4% | $0.36 | |
| GPT-5.6 Sol | max | 28.8% | $0.67 | ||
| Claude Opus 5 | max | 26.9% | $3.05 | ||
| GPT-6 Sol | medium | 26.9% | $0.21 | ||
| GPT-5.6 Sol | xhigh | 26.3% | $0.74 | ||
| Claude Opus 5 | xhigh | 25.3% | $1.15 | ||
| GPT-6 Astra | none | 25.3% | $1.28 | ||
| GPT-5.6 Sol | high | 24.8% | $0.64 | ||
| Claude Opus 5.5 | low | default fallbacks | 24.2% | $0.51 | |
| Claude Opus 5 | medium | 23.9% | $0.89 | ||
| GPT-5.6 Terra | max | 23.6% | $0.51 | ||
| Claude Sonnet 5.5 | medium | default fallbacks | 23.3% | $0.31 | |
| Kimi K3 | 22.7% | $0.43 | |||
| Claude Fable 5.1 | max | 22.4% | $2.45 | ||
| Claude Fable 5.1 | xhigh | 21.3% | $2.14 | ||
| GPT-6 Sol | low | 21.2% | $0.19 | ||
| | max | 20.7% | $1.39 | ||
| GPT-6 Luna | max | 20.7% | $0.04 | ||
| Claude Opus 5 | high | 20.6% | $1.03 | ||
| Claude Opus 5 | low | 20.4% | $0.75 | ||
| GPT-5.6 Sol | medium | 19.6% | $0.57 | ||
| Claude Sonnet 5.5 | between tools | default fallbacks | 18.6% | $0.30 | |
| Claude Sonnet 5.5 | low | default fallbacks | 18.3% | $0.28 | |
| | max | 18.1% | $0.04 | ||
| Claude Fable 5 | max | 17.1% | $2.03 | ||
| GPT-5.6 Luna | max | 17.1% | $0.07 | ||
| | high | 17.1% | $0.58 | ||
| Claude Opus 4.8 | xhigh | 16.9% | $1.91 | ||
| GPT-5.5 | xhigh | 16.6% | $1.72 | ||
| Claude Opus 4.8 | max | 16.4% | $2.36 | ||
| | medium | 16.4% | $0.55 | ||
| Claude Opus 4.8 | high | 16.1% | $1.48 | ||
| Claude Fable 5 | high | 16.1% | $1.65 | ||
| | low | 15.7% | $0.48 | ||
| Claude Fable 5 | xhigh | 15.2% | $1.80 | ||
| GPT-5.6 Terra | xhigh | 14.8% | $0.37 | ||
| GPT-6 Luna | high | 14.5% | $0.02 | ||
| Claude Opus 4.8 | medium | 14% | $1.44 | ||
| Claude Fable 5 | medium | 13.7% | $1.52 | ||
| Claude Opus 4.8 | low | 13.6% | $1.20 | ||
| Claude Opus 4.7 | max | 13.4% | $1.52 | ||
| | high | 13.4% | $0.42 | ||
| GPT-5.6 Luna | xhigh | 12.9% | $0.06 | ||
| GPT-5.5 | high | 12.8% | $0.94 | ||
| GPT-6 Luna | xhigh | 12.6% | $0.02 | ||
| Claude Fable 5 | low | 12.5% | $1.41 | ||
| Claude Haiku 5.5 | max | default fallbacks | 12% | $0.10 | |
| GPT-5.6 Sol | low | 11.7% | $0.42 | ||
| GPT-5.6 Terra | high | 11.7% | $0.29 | ||
| GPT-5.4 | xhigh | 11.6% | $1.15 | ||
| | medium | 11.4% | $0.38 | ||
| Claude Sonnet 5 | max | 10.7% | $0.88 | ||
| Claude Haiku 5.5 | high | default fallbacks | 10.5% | $0.03 | |
| GPT-5.4 | high | 10.1% | $0.62 | ||
| Claude Sonnet 5 | high | 9.89% | $0.56 | ||
| Claude Haiku 5.5 | xhigh | default fallbacks | 9.89% | $0.04 | |
| Claude Opus 4.7 | xhigh | 9.74% | $1.26 | ||
| GPT-6 Luna | medium | 9.44% | $0.02 | ||
| Claude Opus 4.7 | high | 9.13% | $1.08 | ||
| GPT-5.6 Luna | high | 9.13% | $0.05 | ||
| GPT-6 Sol | none | 9.10% | $0.25 | ||
| GPT-5.5 | medium | 8.98% | $0.75 | ||
| | low | 8.98% | $0.30 | ||
| | high | 8.68% | $0.30 | ||
| Claude Haiku 5.5 | medium | default fallbacks | 8.52% | $0.02 | |
| GPT-5.6 Terra | medium | 8.07% | $0.22 | ||
| GLM-5.2 | max | 7.76% | $0.22 | ||
| Claude Sonnet 5 | xhigh | 7.61% | $0.67 | ||
| GPT-5.6 Terra | low | 7.46% | $0.19 | ||
| | medium | 7.00% | $0.25 | ||
| Claude Opus 4.7 | medium | 6.85% | $0.92 | ||
| GLM-5.1 | max | 6.20% | $0.23 | ||
| Claude Haiku 5.5 | low | default fallbacks | 6.09% | $0.02 | |
| Claude Sonnet 5 | medium | 5.78% | $0.41 | ||
| Claude Opus 4.7 | low | 5.48% | $0.78 | ||
| Claude Sonnet 4.6 | max | 5.33% | $0.90 | ||
| GPT-5.4 | medium | 5.33% | $0.36 | ||
| Claude Sonnet 4.6 | high | 5.02% | $0.84 | ||
| | max | 4.87% | $0.07 | ||
| | low | 4.57% | $0.28 | ||
| | high | 4.30% | $0.08 | ||
| GPT-5.6 Luna | medium | 4.26% | $0.02 | ||
| | medium | 3.96% | $0.12 | ||
| GPT-5.6 Sol | 3.81% | $0.41 | |||
| | 3.70% | $0.05 | |||
| Claude Sonnet 4.6 | medium | 3.65% | $0.77 | ||
| Claude Sonnet 5 | low | 3.65% | $0.26 | ||
| | high | 3.35% | $0.13 | ||
| Kimi K2.7 Code | 3.20% | $0.24 | |||
| Claude Sonnet 4.6 | low | 2.89% | $0.61 | ||
| Kimi K2.6 | 2.59% | $0.28 | |||
| GPT-5.5 | low | 2.59% | $0.36 | ||
| GPT-5.6 Luna | low | 1.83% | $0.01 | ||
| | max | 1.70% | $0.09 | ||
| GPT-5.4 | low | 1.52% | $0.13 | ||
| | minimal | 1.22% | $0.18 | ||
| GPT-6 Luna | low | 1.22% | $0.01 | ||
| GPT-5.5 | 1.07% | $0.20 | |||
| GPT-5.6 Terra | 0.76% | $0.12 | |||
| Claude Haiku 4.5 | 0.46% | $0.07 | |||
| | high | 0.46% | $0.10 | ||
| GPT-6 Luna | none | 0.30% | $0.01 | ||
| gpt-oss-120b | high | 0.15% | $0.01 | ||
| GPT-5.4 | 0.15% | $0.07 | |||
| GPT-5.6 Luna | 0.15% | $0.02 | |||
| | low | 0% | $0.06 |
11 models have held number one on the official leaderboard since its release in April 2026 15 models have held number one with claims included since its release in April 2026
Lab claims count from the day the card came out, independent runs from the model’s release. We draw one row each for the benchmark’s own leaderboard and what labs claim in their cards.
Sources: Official AutomationBench leaderboard and labs’ model cards
Scores over time
All the scores we have, one dot each, so a model tested at several settings appears more than once.
Sources: Official AutomationBench leaderboard and labs’ model cards
20 labs put it in a launch post in the last six months
Launch posts from every lab that has listed it, one tick per post. Tall colored ticks include it, and short gray ones leave it out.
| Date | Launch post | Score | As the post writes it |
|---|---|---|---|
| Nov 9, 2026 | 37.8 | AutomationBench-AA, Muse Ember max reasoning | |
| Nov 9, 2026 | Claude Fable 5.2 | 51.4 | Business workflows AutomationBench, max effort, default fallbacks (launch table and Table 8.1.A) |
| Nov 5, 2026 | 45.6 | AutomationBench v1.0.6, 45.6% | |
| Nov 4, 2026 | 56.2 | AutomationBench v1.0.6 | |
| Nov 2, 2026 | 51.8 | AutomationBench (v1.0.6) | |
| Oct 28, 2026 | 53.9 | AutomationBench (Zapier) | |
| Oct 27, 2026 | LFM3-1.7B | 41.3 | AutomationBench (public) |
| Oct 24, 2026 | Kimi K3.1 Pro | 73.3 | Automation Bench-AA |
| Oct 19, 2026 | 62.8 | Automation-Bench v1.0.6 | |
| Oct 17, 2026 | 60.5 | Automation-Bench v1.0.6 | |
| Oct 15, 2026 | 32.4 | AutomationBench-AA [offline] | |
| Oct 13, 2026 | LFM2.5-24B-A2B | 27.7 | AutomationBench |
| Oct 13, 2026 | 52.5 | Automationbench (Public) | |
| Oct 13, 2026 | 51.3 | AutomationBench (Score) | |
| Oct 12, 2026 | 39.1 | AutomationBench-AA | |
| Oct 12, 2026 | 45.4 | AutomationBench-AA | |
| Oct 6, 2026 | 59.9 | Agentic behaviour: Artificial Analysis - AutomationBench | |
| Oct 5, 2026 | Beam 1.0 | 37 | AutomationBench public |
| Oct 1, 2026 | 22.3 | AutomationBench-AA (Artificial Analysis score quoted by Upstage) | |
| Sep 29, 2026 | GPT-6.1 Sol | 36.1 | AutomationBench 1.0.6 (GPT-6.1 Sol Max) |
| Sep 28, 2026 | Claude Sonnet 5.5 | 44.7 | AutomationBench |
| Sep 22, 2026 | GPT-6 Luna | 20.7 | AutomationBench 1.0.6 (GPT-6 Luna max) |
| Sep 22, 2026 | MiMo-V2.6 Pro | 53.1 | AutomationBench v1.0.6 |
| Sep 22, 2026 | Claude Opus 5.5 | 40 | Business workflows AutomationBench |
| Sep 22, 2026 | GPT-6 Sol | 33.2 | AutomationBench 1.0.6 (GPT-6 Sol xhigh) |
| Sep 20, 2026 | 44 | AutomationBench (public); AutomationBench-AA 51.0 | |
| Sep 10, 2026 | 54.8 | AutomationBench (Pass@1) | |
| Sep 3, 2026 | GPT-6 Astra | 41.4 | AutomationBench |
| Sep 2, 2026 | 50.8 | Agentic SaaS workflow, Automation Bench v1.0.6 (Pass@1) | |
| Sep 2, 2026 | 49.6 | AutomationBench (E2E business workflows) | |
| Sep 1, 2026 | Claude Fable 5.1 | 31.4 | Business workflows AutomationBench |
| Aug 28, 2026 | 32.1 | AutomationBench (v1.0.6) | |
| Aug 26, 2026 | GLM-5.3-Flash | 48.8 | AutomationBench (v1.0.6) |
| Aug 21, 2026 | 25.7 | AutomationBench (Public) | |
| Aug 14, 2026 | GLM-5.3 | 48.2 | AutomationBench (v1.0.6) |
| Aug 13, 2026 | 31.8 | AutomationBench (Public) | |
| Aug 13, 2026 | 30.4 | AutomationBench (Private set) | |
| Aug 3, 2026 | 27.3 | Automation-Bench (Pass@1) | |
| Jul 31, 2026 | 25.1 | AutomationBench Public | |
| Jul 24, 2026 | Claude Opus 5 | 26 | Business workflows AutomationBench |
| Jul 16, 2026 | Kimi K3 | 30.8 | AutomationBench |
| Jul 9, 2026 | GPT-5.6 Luna | 14.9 | AutomationBench |
| Jul 9, 2026 | GPT-5.6 Terra | 15.2 | AutomationBench |
| Jul 9, 2026 | GPT-5.6 Sol | 18.1 | AutomationBench (Sol, max) |
| Jun 30, 2026 | Claude Sonnet 5 | 13.5 | AutomationBench |
| Jun 9, 2026 | Claude Fable 5 | 17.4 | Tool use AutomationBench |
| May 28, 2026 | Claude Opus 4.8 | 15.5 | Automation Bench |
16 system cards report it, from 6 labs
Besides launch posts, we read the system cards, model cards and technical reports labs publish with a release. They report far more, including safety and frontier-risk tests.
| Date | Document | Score | As the document writes it | Section |
|---|---|---|---|---|
| Nov 9, 2026 | | 37.8 | AutomationBench-AA, Muse Ember max reasoning | Capabilities |
| Nov 9, 2026 | Claude Fable 5.2 system card | 51.4 | AutomationBench, Zapier private 1.0.6 set, 657 tasks per effort level, max effort, default API fallbacks. Scores from October 8, 2026 run (Table 8.1.A and Section 8.14.5) | Capabilities |
| Oct 13, 2026 | | 51.3 | AutomationBench, Score (results table, p.5) | Capabilities |
| Oct 12, 2026 | | 39.1 | AutomationBench-AA strict pass@1 from Artificial Analysis, Muse Wonder (max) (capabilities table image, page 3) | Capabilities |
| Oct 12, 2026 | | 45.4 | AutomationBench-AA strict pass@1 from Artificial Analysis, Muse Wonder Full (max) (capabilities table image, page 3) | Capabilities |
| Sep 28, 2026 | Claude Sonnet 5.5 system card | 44.7 | AutomationBench at max effort with default fallbacks, run by Zapier (Table 8.1.A, 8.14.6) | Capabilities |
| Sep 22, 2026 | MiMo-V2.6 Pro technical report | 53.1 | AutomationBench v1.0.6 (Table 3) | Capabilities |
| Sep 22, 2026 | Claude Opus 5.5 system card | 40 | AutomationBench, private held-out leaderboard set, max effort, run by Zapier (Table 8.1.A, 8.14.6) | Capabilities |
| Sep 10, 2026 | | 54.8 | Automation-Bench (Pass@1), public set of AutomationBench v1.0.6 (Table 3) | Capabilities |
| Sep 1, 2026 | Claude Fable 5.1 system card | 31.4 | AutomationBench, private held-out leaderboard set, max effort (Table 8.1.A, 8.15.6) | Capabilities |
| Aug 13, 2026 | | 30.4 | AutomationBench, private set (results table, p.5) | Capabilities |
| Jul 27, 2026 | Kimi K3 technical report | 30.8 | AutomationBench, 600-task public subset (Table 2) | Capabilities |
| Jul 24, 2026 | Claude Opus 5 system card | 26 | AutomationBench, private held-out leaderboard set, max effort (24% at medium) (Table 8.1.A, 8.13.7) | Capabilities |
| Jun 30, 2026 | Claude Sonnet 5 system card | 13.5 | AutomationBench, private held-out leaderboard set, max effort, run by Zapier (Table 8.1.A, 8.11.6) | Capabilities |
| Jun 9, 2026 | Claude Fable 5 system card | 17.4 | AutomationBench, private held-out leaderboard set, max effort, measured by Zapier (Table 8.1.A, 8.17.9) | Capabilities |
| May 28, 2026 | Claude Opus 4.8 system card | 15.5 | AutomationBench, Zapier private held-out leaderboard set, max effort (Table 8.1.A, 8.13.8) | Capabilities |
The lab's number comes out ahead in 5 of 11 pairs that differ
Each score a lab reported for its own model, beside the same model's best score on the leaderboard. Gaps mostly come from different harnesses, effort levels and task subsets. 8 of them match, which usually means one side copied the other. Every benchmark.
| Model | Lab says | Board says | Gap |
|---|---|---|---|
| | 49.6% AutomationBench (E2E business workflows) | 20.7% Leaderboard, max | +29 pts |
| GPT-5.6 Sol | 18.1% AutomationBench (Sol, max) | 28.8% Leaderboard, max | −11 pts |
| Claude Fable 5.1 | 31.4% Business workflows AutomationBench | 22.4% Leaderboard, max | +9.0 pts |
| GPT-5.6 Terra | 15.2% AutomationBench | 23.6% Leaderboard, max | −8.4 pts |
| Kimi K3 | 30.8% AutomationBench | 22.7% Leaderboard | +8.1 pts |
| Claude Sonnet 5 | 13.5% AutomationBench | 10.7% Leaderboard, max | +2.8 pts |
| Claude Opus 5.5 | 40% Business workflows AutomationBench | 42.5% Leaderboard, max, default fallbacks | −2.5 pts |
| GPT-5.6 Luna | 14.9% AutomationBench | 17.1% Leaderboard, max | −2.2 pts |
| Claude Opus 4.8 | 15.5% Automation Bench | 16.9% Leaderboard, xhigh | −1.4 pts |
| Claude Opus 5 | 26% Business workflows AutomationBench | 26.9% Leaderboard, max | −0.9 pts |
| Claude Fable 5 | 17.4% Tool use AutomationBench | 17.1% Leaderboard, max | +0.3 pts |
| Claude Fable 5.2 | 51.4% Business workflows AutomationBench, max effort, default fallbacks (launch table and Table 8.1.A) | 51.5% Leaderboard, max, default fallbacks | Same |
| Claude Sonnet 5.5 | 44.7% AutomationBench | 44.8% Leaderboard, max, default fallbacks | Same |
| | 30.4% AutomationBench (Private set) | 30.4% Leaderboard, high | Same |
| | 53.9% AutomationBench (Zapier) | 53.9% Leaderboard, high | Same |
| | 51.3% AutomationBench (Score) | 51.3% Leaderboard, high | Same |
| GPT-6 Astra | 41.4% AutomationBench | 41.4% Leaderboard, max | Same |
| GPT-6 Sol | 33.2% AutomationBench 1.0.6 (GPT-6 Sol xhigh) | 33.2% Leaderboard, xhigh | Same |
| GPT-6 Luna | 20.7% AutomationBench 1.0.6 (GPT-6 Luna max) | 20.7% Leaderboard, max | Same |
2 logged changes that move scores
Changes by the maintainers, so a score from before a change may not compare with one from after it. Newest first, each with the maintainers' own source. The list may be incomplete. What we log.
- Tasks changed July 31st, 2026
The maintainers corrected task discoverability and overly strict checks in patch 1.0.6, increased private-task difficulty, and refreshed official runs. Earlier scores use different task requirements. Source
- Tasks changed July 16th, 2026
The maintainers expanded and revised tasks in patch 1.0.5 to improve fairness and task requirements. Scores from earlier task snapshots may not be comparable. Source
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