Coding · Alibaba Cloud

Qwen3 Chat on LiveCodeBench: score, rank and what it means

Qwen3 Chat scores 72.2 on LiveCodeBench, placing it #144 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
72.2
0–100 scale
Rank
#144
of 600
Percentile
76th
within the index
Benchmark avg
61.0
all models
Leader
85.1
Claude Sonnet 4.5 Reasoning
Gap to leader
12.9
points

Score distribution

The chart shows the top 10 models on LiveCodeBench, with Qwen3 Chat 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 Chat sits at #144 of 600. The leader, Claude Sonnet 4.5 Reasoning, scores 85.1, so the gap to the top is 12.9 points. The median model in this index scores 64.7, which puts Qwen3 Chat above the midpoint.

Alibaba Cloud models average 64.0 on this benchmark. Qwen3 Chat is 8.2 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. Qwen3 Chat is 1.9 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 72.2 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 $4.75 per million input tokens, Qwen3 Chat 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
Sonar Pro Perplexity 65536 $11.25 77.1
Doubao 1.5 Pro Turbo ByteDance 128000 $13.81 79.4
Hunyuan-Turbo Turbo Tencent 65536 $11.60 77.4
Mistral Large 3 Base Mistral AI 65536 $4.47 78.2
Qwen3 Chat Alibaba Cloud 128000 $4.75 79.1
Llama 4 Scout Meta AI 200000 $4.90 79.3
Reka Core Turbo Reka AI 32768 $12.58 78.4

Other benchmarks for Qwen3 Chat

BenchmarkScoreRankPercentileRelative
MMLU-Pro 83.4 98 84th
GPQA Diamond 73.9 173 71th
SWE-bench Verified 68.5 133 78th
HumanEval 83.9 136 77th
MATH-500 81.4 180 70th
AIME 2025 73.8 190 68th
IFEval 87.5 118 80th
TruthfulQA 81.3 145 76th
HellaSwag 86.5 194 68th
MMMU 77.3 110 82th
Arena Elo 1417.2 160 73th

FAQ

What score does Qwen3 Chat get on LiveCodeBench?

Qwen3 Chat scores 72.2 on LiveCodeBench in this index. The benchmark average is 61.0 and the top score is 85.1.

How does Qwen3 Chat rank on LiveCodeBench?

It ranks #144 of 600 models, in the 76th percentile. The leader is Claude Sonnet 4.5 Reasoning at 85.1.

Is Qwen3 Chat 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 Chat cost?

Qwen3 Chat costs $4.75 per million input tokens and $17.42 per million output tokens.

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