Preference · Alibaba Cloud

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

QwQ 7B scores 1269.8 on Arena Elo, placing it #460 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
1269.8
0–100 scale
Rank
#460
of 600
Percentile
23th
within the index
Benchmark avg
1349.9
all models
Leader
1501.9
Claude Opus 4.5 Max
Gap to leader
232.1
points

Score distribution

The chart shows the top 10 models on Arena Elo, with QwQ 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, QwQ 7B sits at #460 of 600. The leader, Claude Opus 4.5 Max, scores 1501.9, so the gap to the top is 232.1 points. The median model in this index scores 1373.8, which puts QwQ 7B below the midpoint.

Alibaba Cloud models average 1370.9 on this benchmark. QwQ 7B is 101.1 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. QwQ 7B is 45.1 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 1269.8 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 $1.11 per million input tokens, QwQ 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
Pythia Chat EleutherAI 4096 $1.31 59.1
GPT-NeoX Chat EleutherAI 16384 $1.49 60.1
Zephyr Base Hugging Face 4096 $1.26 59.5
Kimi K1.5 7B Moonshot AI 8192 $1.35 59.9
QwQ 7B Alibaba Cloud 8192 $1.11 58.1
Llama 3.3 7B Meta AI 8192 $1.18 57.8
GLM-4.5 8B Zhipu AI 32768 $1.46 61.3

Other benchmarks for QwQ 7B

BenchmarkScoreRankPercentileRelative
MMLU-Pro 64.9 455 24th
GPQA Diamond 51.2 509 15th
SWE-bench Verified 46.4 450 25th
HumanEval 62.5 463 23th
MATH-500 60.5 455 24th
AIME 2025 49.8 463 23th
LiveCodeBench 44.3 505 16th
IFEval 67.4 497 17th
TruthfulQA 64.7 463 23th
HellaSwag 73.5 469 22th
MMMU 54.1 507 16th

FAQ

What score does QwQ 7B get on Arena Elo?

QwQ 7B scores 1269.8 on Arena Elo in this index. The benchmark average is 1349.9 and the top score is 1501.9.

How does QwQ 7B rank on Arena Elo?

It ranks #460 of 600 models, in the 23rd percentile. The leader is Claude Opus 4.5 Max at 1501.9.

Is QwQ 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 QwQ 7B cost?

QwQ 7B costs $1.11 per million input tokens and $5.27 per million output tokens.

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