Preference · Alibaba Cloud

Qwen3-Max on Arena Elo: score, rank and what it means

Qwen3-Max scores 1449.2 on Arena Elo, placing it #74 of 600 models in the index. The benchmark average is 1349.9 and the leader is Claude Opus 4.5 Max at 1501.9.

Score
1449.2
0–100 scale
Rank
#74
of 600
Percentile
88th
within the index
Benchmark avg
1349.9
all models
Leader
1501.9
Claude Opus 4.5 Max
Gap to leader
52.7
points

Score distribution

The chart shows the top 10 models on Arena Elo, with Qwen3-Max highlighted. Longer bars mean higher scores.

Claude Opus 4.5 Max 1501.9
GPT-5.2 Reasoning 1500.4
GPT-5.2 Turbo 1500.3
Claude Opus 4.5 Reasoning 1497.5
GPT-5.2 Max 1495.3
Gemini 3 Pro Turbo 1494.9
Grok 4 Max 1491.4
Claude Opus 4.5 1491.2
GPT-5.1 Pro 1490.0
Grok 4 Reasoning 1487.6

Top 10 leaderboard

#ModelProviderContextInput / 1MAvg score
1 Claude Opus 4.5 Max Anthropic 1000000 $20.90 87.8
2 GPT-5.2 Reasoning OpenAI 1000000 $20.98 87.5
3 GPT-5.2 Turbo OpenAI 1000000 $20.73 87.4
4 Claude Opus 4.5 Reasoning Anthropic 2000000 $20.91 88.2
5 GPT-5.2 Max OpenAI 1000000 $21.39 89.2
6 Gemini 3 Pro Turbo Google DeepMind 400000 $19.62 86.4
7 Grok 4 Max xAI 2000000 $19.70 86.6
8 Claude Opus 4.5 Anthropic 400000 $19.42 87.7
9 GPT-5.1 Pro OpenAI 200000 $19.77 87.8
10 Grok 4 Reasoning xAI 2000000 $19.67 87.8

What this score means

On Arena Elo, Qwen3-Max sits at #74 of 600. The leader, Claude Opus 4.5 Max, scores 1501.9, so the gap to the top is 52.7 points. The median model in this index scores 1373.8, which puts Qwen3-Max above the midpoint.

Alibaba Cloud models average 1370.9 on this benchmark. Qwen3-Max is 78.3 points above that provider line, so it is a stronger result than the average Alibaba Cloud model.

Among frontier models, the average is 1469.8. Qwen3-Max is 20.6 points below that group. This is the more useful comparison if you are shortlisting within the same tier rather than across the whole index.

Read a 1449.2 as a relative signal, not an absolute guarantee. Benchmark scores depend on prompt format, evaluation harness and contamination controls. Use this page to narrow the shortlist, then test the model on your own data.

Price context

At $17.37 per million input tokens, Qwen3-Max is above the median input price of $4.00 across the 600 models scored on Arena Elo. The models immediately around it in the ranking are shown below so you can compare score and price together.

ModelProviderContextInput / 1MAvg score
Gemini 2.5 Pro Vision Google DeepMind 200000 $14.91 82.0
Gemini 3 Flash Google DeepMind 128000 $15.67 83.6
Gemini 2.5 Pro Max Google DeepMind 200000 $16.94 84.8
GPT-4.1 Pro OpenAI 400000 $17.56 85.2
Qwen3-Max Alibaba Cloud 400000 $17.37 84.4
o3 OpenAI 400000 $16.80 84.5
Mistral Large 3 Mistral AI 128000 $5.41 81.7

Other benchmarks for Qwen3-Max

BenchmarkScoreRankPercentileRelative
MMLU-Pro 84.0 83 86th
GPQA Diamond 82.3 26 96th
SWE-bench Verified 73.3 62 90th
HumanEval 88.5 66 89th
MATH-500 89.7 53 91th
AIME 2025 81.1 74 88th
LiveCodeBench 82.2 24 96th
IFEval 92.5 31 95th
TruthfulQA 83.4 99 84th
HellaSwag 92.9 25 96th
MMMU 78.7 81 87th

FAQ

What score does Qwen3-Max get on Arena Elo?

Qwen3-Max scores 1449.2 on Arena Elo in this index. The benchmark average is 1349.9 and the top score is 1501.9.

How does Qwen3-Max rank on Arena Elo?

It ranks #74 of 600 models, in the 88th percentile. The leader is Claude Opus 4.5 Max at 1501.9.

Is Qwen3-Max good at Arena Elo?

Yes, relative to the index: it is above the median and inside the top half of scores. The result should be read alongside its price and context window.

How is the Arena Elo score calculated?

Arena Elo is a preference benchmark. Scores in this index are modelled estimates on a 0–100 scale (or Elo for Arena), derived from capability tier and benchmark difficulty. They are not official leaderboard results.

What does Qwen3-Max cost?

Qwen3-Max costs $17.37 per million input tokens and $94.30 per million output tokens.

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