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AutomationBench

Progress Over Time

Interactive timeline showing model performance evolution on AutomationBench

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Proprietary

AutomationBench Leaderboard

20 models
ContextCostLicense
1763B1.0M$0.22 / $0.66
2
Shanghai AI Laboratory
Shanghai AI Laboratory
744B
31.0M$0.10 / $0.20
4320B1.0M$0.15 / $0.50
5
Zhipu AI
Zhipu AI
753B1.0M$1.20 / $4.00
61.1M$10.00 / $50.00
7770B
81.6T1.0M$1.30 / $2.60
91.0M$10.00 / $50.00
10
Moonshot AI
Moonshot AI
2.8T1.0M$2.85 / $14.25
111.0M$0.75 / $3.75
12
Alibaba Cloud / Qwen Team
Alibaba Cloud / Qwen Team
2.4T1.0M$1.65 / $4.95
13
Anthropic
Anthropic
1.0M$5.00 / $25.00
141.0M$0.44 / $1.32
15304B1.0M$0.06 / $0.18
161.1M$5.00 / $30.00
171.0M$10.00 / $50.00
181.1M$2.00 / $12.00
191.1M$0.20 / $1.20
201.0M$2.00 / $10.00
Notice missing or incorrect data?

Sub-benchmarks

About this benchmark

What is AutomationBench?

AutomationBench is a tool-use benchmark that evaluates AI agents on automating real-world workflows, testing their ability to orchestrate tools and complete multi-step automation tasks.

AutomationBench is a text benchmark evaluating models on reasoning, agents, and tool calling tasks. LLM Stats tracks 20 models on this benchmark, scored on a 0–1 scale. The current average is 0.3, with the leader at 0.5.

Compare leaders on the best AI for reasoning, best AI for agents and best AI for tool calling leaderboards.

Current leaders

DeepSeek-V4.1-Flash from DeepSeek currently leads the AutomationBench leaderboard with a score of 0.548 across 20 evaluated AI models.

1DeepSeek-V4.1-FlashDeepSeek54.8%
2Atria Dawn PreviewShanghai AI Laboratory53.8%
3Muse Spark 1.3Meta49.4%

FAQ

Common questions about the AutomationBench benchmark and leaderboard.

What is the AutomationBench benchmark?

AutomationBench is a tool-use benchmark that evaluates AI agents on automating real-world workflows, testing their ability to orchestrate tools and complete multi-step automation tasks.

What is the AutomationBench leaderboard?

The AutomationBench leaderboard ranks 20 AI models based on their performance on this benchmark. Currently, DeepSeek-V4.1-Flash by DeepSeek leads with a score of 0.548. The average score across all models is 0.318.

What is the highest AutomationBench score?

The highest AutomationBench score is 0.548, achieved by DeepSeek-V4.1-Flash from DeepSeek.

How many models are evaluated on AutomationBench?

20 models have been evaluated on the AutomationBench benchmark, with 0 verified results and 20 self-reported results.

What categories does AutomationBench cover?

AutomationBench is categorized under reasoning, agents, and tool calling. The benchmark evaluates text models.

Are there variants of AutomationBench?

Yes. AutomationBench has 1 related variant: AutomationBench-AA.

What is the best open-source model on AutomationBench?

DeepSeek-V4.1-Flash by DeepSeek is the top-ranked open-source model on AutomationBench, with a score of 0.548 (rank #1).

Which model offers the best value on AutomationBench?

Among models scoring within 10% of the leader, Muse Spark 1.3 from Meta is the cheapest, at $0.10 per million input tokens with a score of 0.494.

How recent are the AutomationBench leaderboard results?

The AutomationBench leaderboard was last updated in September 2026 and currently includes 20 evaluated models.