Benchmark Almanac

AutomationBench

Gemini 4 Carbon 53.9% leads since Oct 2026 In use

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 2026-07-31, that fix task fairness and make private tasks harder. It then reruns all models, so the board stays one record.

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.

Abstract of AutomationBench (arXiv:2604.18934, CC0)
Made by Zapier Released Apr 2026 Apps and MCP servers Public tasks plus a private test set Last in a launch post Oct 2026 Last model added Oct 2026 Scores refreshed 2 Nov 2026
Level
University Undergraduates and entry-level professionals
Scored
Checked automatically A program checks the result against an answer key, unit tests or the expected final state.
Answers
Agent task Many steps in a terminal, browser, desktop, app, game or robot.
5
Models scored on its own leaderboard
41
Launch posts list it, from 18 labs
14
System cards report it, from 6 labs

Gemini 4 Carbon leads with 53.9%

Best score per model from the benchmark's own leaderboard, read on 2 Nov 2026. Where a model ran with several settings or harnesses, we keep its best. Every run is in the next chart.

  1. 1 Gemini 4 Carbon high 53.9%
  2. 2 Gemini 4 Argon high 51.3%
  3. 3 Claude Sonnet 5.5 max 44.8%
  4. 4 Claude Opus 5.5 max 42.5%
  5. 5 GPT-6 Astra max 41.4%
#ModelScoreSettingDateSource
1 Gemini 4 Carbon 53.9% high Oct 2026 Official leaderboard
2 Gemini 4 Argon 51.3% high Sep 2026 Official leaderboard
3 Claude Sonnet 5.5 44.8% max, default fallbacks Sep 2026 Official leaderboard
4 Claude Opus 5.5 42.5% max, default fallbacks Sep 2026 Official leaderboard
5 GPT-6 Astra 41.4% max Sep 2026 Official leaderboard

Labs report scores for 41 models in their cards. We plot every source in the charts below.

More effort adds a median 4 points

Models the leaderboard ran at two or more effort levels. We don’t have enough cost data here to say what the extra effort costs.

Lowest effort to highest, light to dark
Gemini 4 Carbon
medium
53.9%
Gemini 4 Argon
medium
51.3%
Claude Sonnet 5.5 default fallbacks
xhigh max
44.8%
GPT-6 Astra
high xhigh max
41.4%
ModelEffortHarnessScoreCost per taskOutput tokens
Gemini 4 Carbon high 53.9%
Gemini 4 Carbon medium 53%
Gemini 4 Argon high 51.3%
Gemini 4 Argon medium 50.1%
Claude Sonnet 5.5 max default fallbacks 44.8%
Claude Opus 5.5 max default fallbacks 42.5%
GPT-6 Astra max 41.4%
GPT-6 Astra xhigh 39%
GPT-6 Astra high 37.1%
Claude Sonnet 5.5 xhigh default fallbacks 36.8%

5 models have held number one since its release in Apr 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.

OpenAI Anthropic Google DeepMind Moonshot AI DeepSeek Z.ai Meta Mistral AI MiniMax
Own leaderboard 5 leaders
Lab claims 13 leaders

Scores over time

All the scores we have, one dot each, so a model tested at several settings appears more than once.

On the benchmark’s own leaderboard Reported by the lab in its model card Best so far
0% 20% 40% 60% 80% 100% 2026 2027 Near the ceiling (85%) Kimi K3.1 Pro MiniMax-M3.1-Flash DeepSeek V4.1 Flash Muse Spark 1.3 DeepSeek V4 Pro 0813 GPT-5.6 Sol 0% 20% 40% 60% 80% 100% 2026 2027 Near the ceiling (85%) Kimi K3.1 Pro MiniMax-M3.1-Flash

18 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.

Anthropic
OpenAI
Moonshot AI
DeepSeek
Qwen
Google DeepMind
Z.ai
Tencent
Meta
StepFun
Xiaomi Corp
Upstage
Reflection
Mistral AI
Ant Group
Liquid AI
NVIDIA
MiniMax
DateLaunch postScoreAs the post writes it
28 Oct 2026 Gemini 4 Carbon 53.9 AutomationBench (Zapier)
27 Oct 2026 LFM3-1.7B 41.3 AutomationBench (public)
24 Oct 2026 Kimi K3.1 Pro 73.3 Automation Bench-AA
19 Oct 2026 MiniMax-M3.1-Flash 62.8 Automation-Bench v1.0.6
17 Oct 2026 DeepSeek V4.1 Flash 1017 60.5 Automation-Bench v1.0.6
15 Oct 2026 Nemotron 3.5 Super VL 32.4 AutomationBench-AA [offline]
13 Oct 2026 LFM2.5-24B-A2B 27.7 AutomationBench
13 Oct 2026 Ling-3.1-flash 52.5 Automationbench (Public)
13 Oct 2026 Gemini 4 Argon 51.3 AutomationBench (Score)
12 Oct 2026 Muse Wonder 39.1 AutomationBench-AA
12 Oct 2026 Muse Wonder Full 45.4 AutomationBench-AA
6 Oct 2026 Mistral Large 4 59.9 Agentic behaviour: Artificial Analysis - AutomationBench
5 Oct 2026 Beam 1.0 37 AutomationBench public
1 Oct 2026 Solar Mini 4 22.3 AutomationBench-AA (Artificial Analysis score quoted by Upstage)
29 Sep 2026 GPT-6.1 Sol 36.1 AutomationBench 1.0.6 (GPT-6.1 Sol Max)
28 Sep 2026 Claude Sonnet 5.5 44.7 AutomationBench
22 Sep 2026 GPT-6 Luna 20.7 AutomationBench 1.0.6 (GPT-6 Luna max)
22 Sep 2026 MiMo-V2.6 Pro 53.1 AutomationBench v1.0.6
22 Sep 2026 Claude Opus 5.5 40 Business workflows AutomationBench
22 Sep 2026 GPT-6 Sol 33.2 AutomationBench 1.0.6 (GPT-6 Sol xhigh)
20 Sep 2026 Step 5 Preview 44 AutomationBench (public); AutomationBench-AA 51.0
10 Sep 2026 DeepSeek V4.1 Flash 54.8 AutomationBench (Pass@1)
3 Sep 2026 GPT-6 Astra 41.4 AutomationBench
2 Sep 2026 Muse Spark 1.3 49.6 AutomationBench (E2E business workflows)
1 Sep 2026 Claude Fable 5.1 31.4 Business workflows AutomationBench
28 Aug 2026 Tencent Hy4 preview 32.1 AutomationBench (v1.0.6)
26 Aug 2026 GLM-5.3-Flash 48.8 AutomationBench (v1.0.6)
21 Aug 2026 DeepSeek-V4-Flash-Vision-Exp 25.7 AutomationBench (Public)
14 Aug 2026 GLM-5.3 48.2 AutomationBench (v1.0.6)
13 Aug 2026 DeepSeek V4 Pro 0813 31.8 AutomationBench (Public)
13 Aug 2026 Gemini 3.7 Flash 30.4 AutomationBench (Private set)
3 Aug 2026 Qwen 3.8 Max 27.3 Automation-Bench (Pass@1)
31 Jul 2026 DeepSeek V4 Flash 0731 25.1 AutomationBench Public
24 Jul 2026 Claude Opus 5 26 Business workflows AutomationBench
16 Jul 2026 Kimi K3 30.8 AutomationBench
9 Jul 2026 GPT-5.6 Luna 14.9 AutomationBench
9 Jul 2026 GPT-5.6 Terra 15.2 AutomationBench
9 Jul 2026 GPT-5.6 Sol 18.1 AutomationBench (Sol, max)
30 Jun 2026 Claude Sonnet 5 13.5 AutomationBench
9 Jun 2026 Claude Fable 5 17.4 Tool use AutomationBench
28 May 2026 Claude Opus 4.8 15.5 Automation Bench

14 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.

DateDocumentScoreAs the document writes itSection
13 Oct 2026 Gemini 4 Argon model card 51.3 AutomationBench, Score (results table, p.5) Capabilities
12 Oct 2026 Muse Wonder model card 39.1 AutomationBench-AA strict pass@1 from Artificial Analysis, Muse Wonder (max) (capabilities table image, page 3) Capabilities
12 Oct 2026 Muse Wonder Full model card 45.4 AutomationBench-AA strict pass@1 from Artificial Analysis, Muse Wonder Full (max) (capabilities table image, page 3) Capabilities
28 Sep 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
22 Sep 2026 MiMo-V2.6 Pro technical report 53.1 AutomationBench v1.0.6 (Table 3) Capabilities
22 Sep 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
10 Sep 2026 DeepSeek V4.1 Flash technical report 54.8 Automation-Bench (Pass@1), public set of AutomationBench v1.0.6 (Table 3) Capabilities
1 Sep 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
13 Aug 2026 Gemini 3.7 Flash model card 30.4 AutomationBench, private set (results table, p.5) Capabilities
27 Jul 2026 Kimi K3 technical report 30.8 AutomationBench, 600-task public subset (Table 2) Capabilities
24 Jul 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
30 Jun 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
9 Jun 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
28 May 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

More in Tool use

All 125 in Tool use
  • MCP Atlas In use Multi-step workflows over real MCP servers. Scores tool-use competency on realistic tasks. Muse Spark 1.1 88.1%
  • BFCL V4 In use Models call functions and tools, including multi-turn agentic tasks with web search and memory. Checked against expected calls and outcomes. Qwen3.7-Max 75%
  • τ³-bench Banking In use Agents act as banking customer-service reps over many turns with a simulated user, following policy. Pass^1 on the final database state. Qwen 3.8 Max 55.1%
  • Claw-Eval In use 300 human-verified agent tasks (service orchestration, multimodal, multi-turn dialogue) audited via traces and snapshots. Rubric scores with Pass^3 consistency. Claude Sonnet 4.6 81.4%
  • DeepSearchQA In use Questions that need multi-step search and synthesis. Final answers graded against references. Kimi K3 95%
  • MCPMark In use Agent stress-tests realistic MCP tool use (GitHub, Notion, Postgres, browser). Graded by programmatic verification scripts. Kimi K3 94.5%