Arena Hard

Arena-Hard-Auto is an automatic evaluation benchmark for instruction-tuned LLMs consisting of 500 challenging real-world prompts curated by BenchBuilder. It includes open-ended software engineering problems, mathematical questions, and creative writing tasks. The benchmark uses LLM-as-a-Judge methodology with GPT-4.1 and Gemini-2.5 as automatic judges to approximate human preference. Arena-Hard achieves 98.6% correlation with human preference rankings and provides 3x higher separation of model performances compared to MT-Bench, making it highly effective for distinguishing between models of similar quality.

Qwen3 235B A22B from Alibaba Cloud / Qwen Team currently leads the Arena Hard leaderboard with a score of 0.956 across 26 evaluated AI models.

Paper

Alibaba Cloud / Qwen TeamQwen3 235B A22B leads with 95.6%, followed by Alibaba Cloud / Qwen TeamQwen3 32B at 93.8% and Alibaba Cloud / Qwen TeamQwen3 30B A3B at 91.0%.

Progress Over Time

Interactive timeline showing model performance evolution on Arena Hard

State-of-the-art frontier
Open
Proprietary

Arena Hard Leaderboard

26 models
ContextCostLicense
1
Alibaba Cloud / Qwen Team
Alibaba Cloud / Qwen Team
235B
2
Alibaba Cloud / Qwen Team
Alibaba Cloud / Qwen Team
33B128K$0.10 / $0.30
3
Alibaba Cloud / Qwen Team
Alibaba Cloud / Qwen Team
31B128K$0.10 / $0.44
450B
524B
6
Alibaba Cloud / Qwen Team
Alibaba Cloud / Qwen Team
73B
714B
8236B
9
Microsoft
Microsoft
15B
1014B
118B
12398B
13
Mistral AI
Mistral AI
119B256K$0.15 / $0.60
148B
148B
16
Mistral AI
Mistral AI
675B
1614B
18
Alibaba Cloud / Qwen Team
Alibaba Cloud / Qwen Team
8B
198B
2052B
2124B
2260B
234B
24
Microsoft
Microsoft
4B
253B
267B
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FAQ

Common questions about Arena Hard.

What is the Arena Hard benchmark?

Arena-Hard-Auto is an automatic evaluation benchmark for instruction-tuned LLMs consisting of 500 challenging real-world prompts curated by BenchBuilder. It includes open-ended software engineering problems, mathematical questions, and creative writing tasks. The benchmark uses LLM-as-a-Judge methodology with GPT-4.1 and Gemini-2.5 as automatic judges to approximate human preference. Arena-Hard achieves 98.6% correlation with human preference rankings and provides 3x higher separation of model performances compared to MT-Bench, making it highly effective for distinguishing between models of similar quality.

What is the Arena Hard leaderboard?

The Arena Hard leaderboard ranks 26 AI models based on their performance on this benchmark. Currently, Qwen3 235B A22B by Alibaba Cloud / Qwen Team leads with a score of 0.956. The average score across all models is 0.622.

What is the highest Arena Hard score?

The highest Arena Hard score is 0.956, achieved by Qwen3 235B A22B from Alibaba Cloud / Qwen Team.

How many models are evaluated on Arena Hard?

26 models have been evaluated on the Arena Hard benchmark, with 0 verified results and 26 self-reported results.

Where can I find the Arena Hard paper?

The Arena Hard paper is available at https://arxiv.org/abs/2406.11939. The paper details the methodology, dataset construction, and evaluation criteria.

What categories does Arena Hard cover?

Arena Hard is categorized under writing, creativity, general, and reasoning. The benchmark evaluates text models.

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