Preference · Alibaba Cloud

Qwen3 7B on Arena Elo: score, rank and what it means

Qwen3 7B scores 1283.5 on Arena Elo, placing it #439 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
1283.5
0–100 scale
Rank
#439
of 600
Percentile
27th
within the index
Benchmark avg
1349.9
all models
Leader
1501.9
Claude Opus 4.5 Max
Gap to leader
218.4
points

Score distribution

The chart shows the top 10 models on Arena Elo, with Qwen3 7B 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 7B sits at #439 of 600. The leader, Claude Opus 4.5 Max, scores 1501.9, so the gap to the top is 218.4 points. The median model in this index scores 1373.8, which puts Qwen3 7B below the midpoint.

Alibaba Cloud models average 1370.9 on this benchmark. Qwen3 7B is 87.4 points below that provider line, so it is a weaker result than the average Alibaba Cloud model.

Among small open-weight models, the average is 1224.7. Qwen3 7B is 58.8 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 1283.5 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 $1.37 per million input tokens, Qwen3 7B is below 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
Llama 4 Maverick 7B Meta AI 4096 $1.52 61.9
Qwen3-Coder 8B Alibaba Cloud 32768 $1.43 61.3
Embed 4 Cohere 32768 $4.79 63.8
Mistral Large 3 7B Mistral AI 32768 $1.44 61.1
Qwen3 7B Alibaba Cloud 32768 $1.37 59.8
Magistral 8B Mistral AI 4096 $1.33 60.0
Llama 4 Maverick 8B Meta AI 4096 $1.64 63.4

Other benchmarks for Qwen3 7B

BenchmarkScoreRankPercentileRelative
MMLU-Pro 64.2 466 22th
GPQA Diamond 55.2 460 23th
SWE-bench Verified 44.7 468 22th
HumanEval 65.2 439 27th
MATH-500 60.8 453 25th
AIME 2025 49.3 464 23th
LiveCodeBench 50.3 445 26th
IFEval 68.9 478 20th
TruthfulQA 65.8 447 26th
HellaSwag 77.0 416 31th
MMMU 56.4 481 20th

FAQ

What score does Qwen3 7B get on Arena Elo?

Qwen3 7B scores 1283.5 on Arena Elo in this index. The benchmark average is 1349.9 and the top score is 1501.9.

How does Qwen3 7B rank on Arena Elo?

It ranks #439 of 600 models, in the 27th percentile. The leader is Claude Opus 4.5 Max at 1501.9.

Is Qwen3 7B good at Arena Elo?

It is below the median for this benchmark, so test it carefully before relying on it for this capability. 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 7B cost?

Qwen3 7B costs $1.37 per million input tokens and $7.23 per million output tokens.

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