Instruction following · Alibaba Cloud

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

QwQ 7B scores 67.4 on IFEval, placing it #497 of 600 models in the index. The benchmark average is 78.6 and the leader is Claude Opus 4.5 Pro at 96.1.

Score
67.4
0–100 scale
Rank
#497
of 600
Percentile
17th
within the index
Benchmark avg
78.6
all models
Leader
96.1
Claude Opus 4.5 Pro
Gap to leader
28.7
points

Score distribution

The chart shows the top 10 models on IFEval, with QwQ 7B highlighted. Longer bars mean higher scores.

Claude Opus 4.5 Pro 96.1
Claude Opus 4.5 Reasoning 95.9
GPT-5.2 Pro 95.6
GPT-5.2 Max 95.2
GPT-5.2 Reasoning 95.0
GPT-5.1 Pro 94.8
Gemini 3 Pro Max 94.7
GPT-5.1 Reasoning 94.6
Claude Opus 4.5 Max 94.5
o4 Reasoning 94.5

Top 10 leaderboard

#ModelProviderContextInput / 1MAvg score
1 Claude Opus 4.5 Pro Anthropic 200000 $20.98 89.1
2 Claude Opus 4.5 Reasoning Anthropic 2000000 $20.91 88.2
3 GPT-5.2 Pro OpenAI 2000000 $21.32 89.6
4 GPT-5.2 Max OpenAI 1000000 $21.39 89.2
5 GPT-5.2 Reasoning OpenAI 1000000 $20.98 87.5
6 GPT-5.1 Pro OpenAI 200000 $19.77 87.8
7 Gemini 3 Pro Max Google DeepMind 2000000 $20.57 87.9
8 GPT-5.1 Reasoning OpenAI 400000 $20.27 88.3
9 Claude Opus 4.5 Max Anthropic 1000000 $20.90 87.8
10 o4 Reasoning OpenAI 1000000 $19.69 87.5

What this score means

On IFEval, QwQ 7B sits at #497 of 600. The leader, Claude Opus 4.5 Pro, scores 96.1, so the gap to the top is 28.7 points. The median model in this index scores 81.2, which puts QwQ 7B below the midpoint.

Alibaba Cloud models average 80.9 on this benchmark. QwQ 7B is 13.5 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 64.9. QwQ 7B is 2.5 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 67.4 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 IFEval. The models immediately around it in the ranking are shown below so you can compare score and price together.

ModelProviderContextInput / 1MAvg score
Nova Lite Nano Amazon 8192 $3.29 59.5
Llama 3.1 7B Meta AI 8192 $1.01 57.4
Embed 4 Mini Cohere 4096 $2.48 55.8
Llama 3 Replicate 8B Replicate 32768 $1.00 57.0
QwQ 7B Alibaba Cloud 8192 $1.11 58.1
Gemma 3 8B Google DeepMind 16384 $0.96 56.5
Llama 3 Anyscale 7B Anyscale 4096 $0.98 56.2

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
TruthfulQA 64.7 463 23th
HellaSwag 73.5 469 22th
MMMU 54.1 507 16th
Arena Elo 1269.8 460 23th

FAQ

What score does QwQ 7B get on IFEval?

QwQ 7B scores 67.4 on IFEval in this index. The benchmark average is 78.6 and the top score is 96.1.

How does QwQ 7B rank on IFEval?

It ranks #497 of 600 models, in the 17th percentile. The leader is Claude Opus 4.5 Pro at 96.1.

Is QwQ 7B good at IFEval?

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 IFEval score calculated?

IFEval is a instruction following 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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