Coding · Alibaba Cloud

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

QwQ Instruct scores 72.4 on LiveCodeBench, placing it #139 of 600 models in the index. The benchmark average is 61.0 and the leader is Claude Sonnet 4.5 Reasoning at 85.1.

Score
72.4
0–100 scale
Rank
#139
of 600
Percentile
77th
within the index
Benchmark avg
61.0
all models
Leader
85.1
Claude Sonnet 4.5 Reasoning
Gap to leader
12.7
points

Score distribution

The chart shows the top 10 models on LiveCodeBench, with QwQ Instruct highlighted. Longer bars mean higher scores.

Claude Sonnet 4.5 Reasoning 85.1
Grok 4 Reasoning 85.1
Claude Opus 4.5 85.0
GPT-5.2 Max 84.8
Grok 4 Turbo 84.7
GPT-5.1 Turbo 84.6
GPT-5.2 Pro 84.6
GPT-5.2 Reasoning 84.6
Claude Opus 4.5 Pro 84.1
Gemini 3 Pro Max 83.6

Top 10 leaderboard

#ModelProviderContextInput / 1MAvg score
1 Claude Sonnet 4.5 Reasoning Anthropic 400000 $19.48 87.7
2 Grok 4 Reasoning xAI 2000000 $19.67 87.8
3 Claude Opus 4.5 Anthropic 400000 $19.42 87.7
4 GPT-5.2 Max OpenAI 1000000 $21.39 89.2
5 Grok 4 Turbo xAI 1000000 $19.21 86.7
6 GPT-5.1 Turbo OpenAI 2000000 $19.19 86.1
7 GPT-5.2 Pro OpenAI 2000000 $21.32 89.6
8 GPT-5.2 Reasoning OpenAI 1000000 $20.98 87.5
9 Claude Opus 4.5 Pro Anthropic 200000 $20.98 89.1
10 Gemini 3 Pro Max Google DeepMind 2000000 $20.57 87.9

What this score means

On LiveCodeBench, QwQ Instruct sits at #139 of 600. The leader, Claude Sonnet 4.5 Reasoning, scores 85.1, so the gap to the top is 12.7 points. The median model in this index scores 64.7, which puts QwQ Instruct above the midpoint.

Alibaba Cloud models average 64.0 on this benchmark. QwQ Instruct is 8.4 points above that provider line, so it is a stronger result than the average Alibaba Cloud model.

Among multimodal models, the average is 70.3. QwQ Instruct is 2.1 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 72.4 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 $4.62 per million input tokens, QwQ Instruct is above the median input price of $4.00 across the 600 models scored on LiveCodeBench. The models immediately around it in the ranking are shown below so you can compare score and price together.

ModelProviderContextInput / 1MAvg score
Hunyuan-Turbo Pro Tencent 65536 $12.00 77.6
Claude Opus 4.5 Mini Anthropic 65536 $12.72 79.0
Nova Pro Pro Amazon 200000 $13.03 79.5
Claude Haiku 4.5 Pro Anthropic 1000000 $15.07 80.8
QwQ Instruct Alibaba Cloud 65536 $4.62 79.0
Sonar Pro Perplexity 65536 $11.25 77.1
Doubao 1.5 Pro Turbo ByteDance 128000 $13.81 79.4

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
IFEval 87.7 110 82th
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 LiveCodeBench?

QwQ Instruct scores 72.4 on LiveCodeBench in this index. The benchmark average is 61.0 and the top score is 85.1.

How does QwQ Instruct rank on LiveCodeBench?

It ranks #139 of 600 models, in the 77th percentile. The leader is Claude Sonnet 4.5 Reasoning at 85.1.

Is QwQ Instruct good at LiveCodeBench?

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 LiveCodeBench score calculated?

LiveCodeBench is a coding 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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