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AutomationBench

Data verified 36 confirmed releases in the last 30 daysFollow model changes

An agent benchmark for completing automation workflows in reproducible task environments.

Top models on AutomationBench — September 18, 2026

As of September 18, 2026, DeepSeek V4.1 Flash leads the AutomationBench leaderboard with 54.8% , followed by Atria Dawn Preview (53.8%) and Muse Spark 1.3 (49.4%).

14 modelsAgentic10% of category scoreCurrentUpdated September 18, 2026

Leaderboard (14 models)

Score
1
DeepSeek V4.1 FlashDeepSeek · Open weight
54.8%
2
Atria Dawn PreviewShanghai Artificial Intelligence Laboratory · Open weight
53.8%
3
Muse Spark 1.3Meta · Closed
49.4%
4
GLM-5.3-FlashZ.AI · Open weight
48.8%
5
GLM-5.3Z.AI · Open weight
48.2%
6
GPT-6 AstraOpenAI · Closed
41.4%
7
Hy4 previewTencent · Open weight
32.1%
8
DeepSeek V4 Pro 0813DeepSeek · Closed
31.8%
9
Claude Fable 5.1Anthropic · Closed
31.4%
10
Kimi K3Moonshot AI · Closed
30.8%
11
Gemini 3.7 FlashGoogle · Closed
30.4%
12
Qwen3.8 MaxAlibaba · Open weight
27.3%
13
Claude Opus 5Anthropic · Closed
26.0%
14
DeepSeek V4 Flash 0731DeepSeek · Closed
25.1%

According to BenchLM.ai, DeepSeek V4.1 Flash leads the AutomationBench benchmark with a score of 54.8%, followed by Atria Dawn Preview (53.8%) and Muse Spark 1.3 (49.4%). There is significant spread across the leaderboard, making this benchmark effective at differentiating model capabilities.

14 models have been evaluated on AutomationBench. The benchmark falls in the Agentic category. This category carries a 22% weight in BenchLM.ai's overall scoring system. Within that category, AutomationBench contributes 10% of the category score, so strong performance here directly affects a model's overall ranking.

About AutomationBench

Year

2026

Tasks

600 public automation tasks

Format

Agent task-completion score

Difficulty

Long-horizon automation

Moonshot evaluates the 600-task public subset while following the official GitHub setup. BenchLM stores this provider-run result separately from Artificial Analysis AutomationBench-AA.

Freshness and provenance

Version

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 AutomationBench measure?

An agent benchmark for completing automation workflows in reproducible task environments.

Which model scores highest on AutomationBench?

DeepSeek V4.1 Flash by DeepSeek currently leads with a score of 54.8% on AutomationBench.

How many models are evaluated on AutomationBench?

14 AI models have been evaluated on AutomationBench on BenchLM.

Last updated: September 18, 2026 · BenchLM version AutomationBench 2026

Know when it’s worth switching models

The model to choose, the cheaper alternative, and the release we would wait on.

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