Preference · Alibaba Cloud

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

Qwen3-Coder scores 1439.3 on Arena Elo, placing it #98 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
1439.3
0–100 scale
Rank
#98
of 600
Percentile
84th
within the index
Benchmark avg
1349.9
all models
Leader
1501.9
Claude Opus 4.5 Max
Gap to leader
62.6
points

Score distribution

The chart shows the top 10 models on Arena Elo, with Qwen3-Coder 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-Coder sits at #98 of 600. The leader, Claude Opus 4.5 Max, scores 1501.9, so the gap to the top is 62.6 points. The median model in this index scores 1373.8, which puts Qwen3-Coder above the midpoint.

Alibaba Cloud models average 1370.9 on this benchmark. Qwen3-Coder is 68.4 points above that provider line, so it is a stronger result than the average Alibaba Cloud model.

Among coding models, the average is 1341.0. Qwen3-Coder is 98.3 points above that group. This is the more useful comparison if you are shortlisting within the same tier rather than across the whole index.

Read a 1439.3 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 $4.94 per million input tokens, Qwen3-Coder 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
DeepSeek-R1 Base DeepSeek 400000 $5.05 80.1
MiniMax-M2 Instruct MiniMax 128000 $5.11 79.4
GLM-4.6 Zhipu AI 128000 $5.10 80.2
Sonar Pro Reasoning Perplexity 128000 $13.94 80.5
Qwen3-Coder Alibaba Cloud 200000 $4.94 79.5
Doubao 1.5 Pro Reasoning ByteDance 128000 $14.56 81.6
Llama 4 Maverick Instruct Meta AI 200000 $5.33 81.7

Other benchmarks for Qwen3-Coder

BenchmarkScoreRankPercentileRelative
MMLU-Pro 83.7 89 85th
GPQA Diamond 77.9 88 85th
SWE-bench Verified 71.0 96 84th
HumanEval 83.5 146 76th
MATH-500 86.1 92 85th
AIME 2025 74.2 175 71th
LiveCodeBench 69.8 196 67th
IFEval 86.6 144 76th
TruthfulQA 79.8 192 68th
HellaSwag 86.7 188 69th
MMMU 75.2 159 74th

FAQ

What score does Qwen3-Coder get on Arena Elo?

Qwen3-Coder scores 1439.3 on Arena Elo in this index. The benchmark average is 1349.9 and the top score is 1501.9.

How does Qwen3-Coder rank on Arena Elo?

It ranks #98 of 600 models, in the 84th percentile. The leader is Claude Opus 4.5 Max at 1501.9.

Is Qwen3-Coder 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-Coder cost?

Qwen3-Coder costs $4.94 per million input tokens and $19.51 per million output tokens.

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