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Artificial Analysis AutomationBench (AA AutomationBench)

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An independently evaluated automation benchmark from Artificial Analysis.

Top models on AA AutomationBench — October 29, 2026

As of October 29, 2026, Gemini 4 Carbon leads the AA AutomationBench leaderboard with 77.8% , followed by Gemini 4 Argon (77.5%) and Kimi K3.1 Pro (73.3%).

24 modelsAgentic2% of Agentic reference weightCurrentUpdated October 29, 2026

Leaderboard (24 models)

AA AutomationBench leaderboard
RankModel / configurationScoreParameters (B)Open / closed
1Gemini 4 CarbonGoogle
77.8%
Not reportedClosed
2Gemini 4 ArgonGoogle
77.5%
Not reportedClosed
3Kimi K3.1 ProMoonshot AI
73.3%
Not reportedPending
4MiniMax M3.1 FlashMiniMax
72.5%
Not reportedClosed
5Claude Sonnet 5.5Anthropic
71.8%
Not reportedClosed
6Claude Opus 5.5Anthropic
69.5%
Not reportedClosed
7GPT-6 AstraOpenAI
68.5%
Not reportedClosed
8Grok 4.7xAI
65.6%
Not reportedClosed
9GPT-6.1 SolOpenAI
64.9%
Not reportedClosed
10GLM-5.3Z.AI
62.2%
Not reportedOpen
11GPT-6.1 TerraOpenAI
60.2%
Not reportedClosed
12Gemini 3.8 FlashGoogle
59.9%
Not reportedClosed
13Mistral Large 4Mistral
59.9%
Not reportedOpen
14Claude Fable 5.1Anthropic
59.4%
Not reportedClosed
15MiMo-V2.6-ProXiaomi
58.6%
Not reportedOpen
16GPT-6 LunaOpenAI
53.2%
Not reportedClosed
17Step 5 PreviewStepFun
51.0%
Not reportedOpen
18Muse Spark OpenMeta
49.7%
Not reportedOpen
19Beam 1.0 501B-A23BReflection AI
48.5%
Not reportedOpen
20Qwen3.8-27BAlibaba
48.2%
Not reportedOpen
21Muse Wonder FullMeta
45.4%
Not reportedClosed
22Muse WonderMeta
39.1%
Not reportedClosed
23Claude Haiku 5.5Anthropic
35.4%
Not reportedClosed
24InklingThinking Machines Lab
5.0%
Not reportedOpen

According to BenchLM.ai, Gemini 4 Carbon leads the AA AutomationBench benchmark with a score of 77.8%, followed by Gemini 4 Argon (77.5%) and Kimi K3.1 Pro (73.3%). The scores show moderate spread, with meaningful differences between the top tier and mid-tier models.

24 models have been evaluated on AA AutomationBench. The benchmark falls in the Agentic category. BenchAlign v5.8 gives AA AutomationBench 2% of the Agentic reference weight, so it moves the Agentic leaderboard and the overall ranking. Reference weights are relative weights in the calibrated model, not fixed shares of a score.

About AA AutomationBench

Year

2026

Tasks

Business-process automation tasks

Format

Task success rate

Difficulty

Agentic automation

Stored as its own agentic row.

Freshness and provenance

Version

AA AutomationBench 2026

Refresh cadence

Quarterly

Staleness state

Current

Question availability

Public benchmark set

Current

BenchLM uses freshness metadata to decide whether a benchmark should still be treated as a strong differentiator, a benchmark to watch, or a display-only reference. For the full scoring policy, see the BenchLM methodology page.

Questions

What does AA AutomationBench measure?

An independently evaluated automation benchmark from Artificial Analysis.

Which model scores highest on AA AutomationBench?

Gemini 4 Carbon by Google currently leads with a score of 77.8% on AA AutomationBench.

How many models are evaluated on AA AutomationBench?

24 AI models have published results on AA AutomationBench in the BenchLM catalog.

Last updated: October 29, 2026 · BenchLM version AA AutomationBench 2026

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