Coding · Alibaba Cloud

Qwen3 8B on LiveCodeBench: score, rank and what it means

Qwen3 8B scores 51.5 on LiveCodeBench, placing it #433 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
51.5
0–100 scale
Rank
#433
of 600
Percentile
28th
within the index
Benchmark avg
61.0
all models
Leader
85.1
Claude Sonnet 4.5 Reasoning
Gap to leader
33.6
points

Score distribution

The chart shows the top 10 models on LiveCodeBench, with Qwen3 8B 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 8B sits at #433 of 600. The leader, Claude Sonnet 4.5 Reasoning, scores 85.1, so the gap to the top is 33.6 points. The median model in this index scores 64.7, which puts Qwen3 8B below the midpoint.

Alibaba Cloud models average 64.0 on this benchmark. Qwen3 8B is 12.5 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 41.2. Qwen3 8B is 10.3 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 51.5 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 $1.66 per million input tokens, Qwen3 8B is below 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
Mistral Large 3 8B Mistral AI 16384 $1.62 61.6
Molmo Base Allen Institute for AI 4096 $2.02 65.0
Fusion Mini OpenRouter 4096 $4.89 63.3
GLM-4.6 8B Zhipu AI 8192 $1.69 63.1
Qwen3 8B Alibaba Cloud 8192 $1.66 61.9
Firefunction Mini Fireworks AI 32768 $4.63 63.2
Llama 4 Scout 7B Meta AI 32768 $1.30 60.0

Other benchmarks for Qwen3 8B

BenchmarkScoreRankPercentileRelative
MMLU-Pro 66.5 432 28th
GPQA Diamond 57.2 437 27th
SWE-bench Verified 51.0 413 31th
HumanEval 65.7 434 28th
MATH-500 62.8 438 27th
AIME 2025 52.6 438 27th
IFEval 71.0 442 26th
TruthfulQA 67.2 427 29th
HellaSwag 75.6 433 28th
MMMU 59.8 430 28th
Arena Elo 1305.0 411 32th

FAQ

What score does Qwen3 8B get on LiveCodeBench?

Qwen3 8B scores 51.5 on LiveCodeBench in this index. The benchmark average is 61.0 and the top score is 85.1.

How does Qwen3 8B rank on LiveCodeBench?

It ranks #433 of 600 models, in the 28th percentile. The leader is Claude Sonnet 4.5 Reasoning at 85.1.

Is Qwen3 8B good at LiveCodeBench?

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 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 8B cost?

Qwen3 8B costs $1.66 per million input tokens and $6.65 per million output tokens.

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