Coding · Alibaba Cloud

Qwen3-Coder on LiveCodeBench: score, rank and what it means

Qwen3-Coder scores 69.8 on LiveCodeBench, placing it #196 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
69.8
0–100 scale
Rank
#196
of 600
Percentile
67th
within the index
Benchmark avg
61.0
all models
Leader
85.1
Claude Sonnet 4.5 Reasoning
Gap to leader
15.3
points

Score distribution

The chart shows the top 10 models on LiveCodeBench, with Qwen3-Coder 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, Qwen3-Coder sits at #196 of 600. The leader, Claude Sonnet 4.5 Reasoning, scores 85.1, so the gap to the top is 15.3 points. The median model in this index scores 64.7, which puts Qwen3-Coder above the midpoint.

Alibaba Cloud models average 64.0 on this benchmark. Qwen3-Coder is 5.8 points above that provider line, so it is a stronger result than the average Alibaba Cloud model.

Among coding models, the average is 59.3. Qwen3-Coder is 10.5 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 69.8 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 $4.94 per million input tokens, Qwen3-Coder 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
Kimi K2 Base Moonshot AI 65536 $4.82 79.2
Llama 3.1 Turbo Together AI 200000 $4.17 76.8
Llama 3.1 Turbo Chat Together AI 200000 $3.95 76.1
Phi-4 Instruct Microsoft 128000 $3.79 75.3
Qwen3-Coder Alibaba Cloud 200000 $4.94 79.5
Llama 3.3 Chat Meta AI 32768 $4.18 76.9
Magistral Base Mistral AI 65536 $3.86 75.6

Other benchmarks for Qwen3-Coder

BenchmarkScoreRankPercentileRelative
MMLU-Pro 83.7 89 85th
GPQA Diamond 77.9 88 85th
SWE-bench Verified 71.0 96 84th
HumanEval 83.5 146 76th
MATH-500 86.1 92 85th
AIME 2025 74.2 175 71th
IFEval 86.6 144 76th
TruthfulQA 79.8 192 68th
HellaSwag 86.7 188 69th
MMMU 75.2 159 74th
Arena Elo 1439.3 98 84th

FAQ

What score does Qwen3-Coder get on LiveCodeBench?

Qwen3-Coder scores 69.8 on LiveCodeBench in this index. The benchmark average is 61.0 and the top score is 85.1.

How does Qwen3-Coder rank on LiveCodeBench?

It ranks #196 of 600 models, in the 67th percentile. The leader is Claude Sonnet 4.5 Reasoning at 85.1.

Is Qwen3-Coder 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 Qwen3-Coder cost?

Qwen3-Coder costs $4.94 per million input tokens and $19.51 per million output tokens.

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