Instruction following · Alibaba Cloud

QwQ Instruct on IFEval: score, rank and what it means

QwQ Instruct scores 87.7 on IFEval, placing it #110 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
87.7
0–100 scale
Rank
#110
of 600
Percentile
82th
within the index
Benchmark avg
78.6
all models
Leader
96.1
Claude Opus 4.5 Pro
Gap to leader
8.4
points

Score distribution

The chart shows the top 10 models on IFEval, with QwQ Instruct 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 Instruct sits at #110 of 600. The leader, Claude Opus 4.5 Pro, scores 96.1, so the gap to the top is 8.4 points. The median model in this index scores 81.2, which puts QwQ Instruct above the midpoint.

Alibaba Cloud models average 80.9 on this benchmark. QwQ Instruct is 6.8 points above that provider line, so it is a stronger result than the average Alibaba Cloud model.

Among multimodal models, the average is 85.2. QwQ Instruct 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 87.7 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 $4.62 per million input tokens, QwQ Instruct is above 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
Command A Reasoning Cohere 400000 $13.74 80.2
Doubao 1.5 Pro Pro ByteDance 128000 $14.10 80.2
GLM-4.6 Chat Zhipu AI 400000 $4.89 79.8
Nova Pro Amazon 32768 $12.75 79.4
QwQ Instruct Alibaba Cloud 65536 $4.62 79.0
Gemini 2.5 Pro Google DeepMind 200000 $15.20 81.6
MiniMax-Text Instruct MiniMax 128000 $4.59 77.7

Other benchmarks for QwQ Instruct

BenchmarkScoreRankPercentileRelative
MMLU-Pro 79.8 189 69th
GPQA Diamond 73.5 187 69th
SWE-bench Verified 67.3 163 73th
HumanEval 81.2 210 65th
MATH-500 84.1 124 79th
AIME 2025 74.7 161 73th
LiveCodeBench 72.4 139 77th
TruthfulQA 82.8 113 81th
HellaSwag 88.4 128 79th
MMMU 76.8 116 81th
Arena Elo 1420.8 146 76th

FAQ

What score does QwQ Instruct get on IFEval?

QwQ Instruct scores 87.7 on IFEval in this index. The benchmark average is 78.6 and the top score is 96.1.

How does QwQ Instruct rank on IFEval?

It ranks #110 of 600 models, in the 82nd percentile. The leader is Claude Opus 4.5 Pro at 96.1.

Is QwQ Instruct good at IFEval?

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 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 Instruct cost?

QwQ Instruct costs $4.62 per million input tokens and $17.65 per million output tokens.

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