Coding · Alibaba Cloud

Qwen3 1.5B on LiveCodeBench: score, rank and what it means

Qwen3 1.5B scores 38.8 on LiveCodeBench, placing it #544 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
38.8
0–100 scale
Rank
#544
of 600
Percentile
9th
within the index
Benchmark avg
61.0
all models
Leader
85.1
Claude Sonnet 4.5 Reasoning
Gap to leader
46.3
points

Score distribution

The chart shows the top 10 models on LiveCodeBench, with Qwen3 1.5B 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 1.5B sits at #544 of 600. The leader, Claude Sonnet 4.5 Reasoning, scores 85.1, so the gap to the top is 46.3 points. The median model in this index scores 64.7, which puts Qwen3 1.5B below the midpoint.

Alibaba Cloud models average 64.0 on this benchmark. Qwen3 1.5B is 25.2 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 1.5B is 2.4 points below that group. This is the more useful comparison if you are shortlisting within the same tier rather than across the whole index.

Read a 38.8 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 $0.84 per million input tokens, Qwen3 1.5B 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
Llama 3.1 Cerebras 1.5B Cerebras 4096 $0.48 50.2
Arctic 7B Snowflake 8192 $0.49 50.3
Mixtral Turbo 8B Together AI 4096 $0.75 54.1
OLMo 2 8B Allen Institute for AI 4096 $0.64 52.5
Qwen3 1.5B Alibaba Cloud 4096 $0.84 53.5
DBRX 8B Databricks 4096 $0.82 54.1
DBRX 7B Databricks 8192 $0.65 51.9

Other benchmarks for Qwen3 1.5B

BenchmarkScoreRankPercentileRelative
MMLU-Pro 60.8 516 14th
GPQA Diamond 49.8 527 12th
SWE-bench Verified 36.9 542 10th
HumanEval 59.8 507 16th
MATH-500 54.2 526 12th
AIME 2025 41.5 533 11th
IFEval 64.5 536 11th
TruthfulQA 60.9 520 13th
HellaSwag 69.1 547 9th
MMMU 52.1 530 12th
Arena Elo 1238.1 517 14th

FAQ

What score does Qwen3 1.5B get on LiveCodeBench?

Qwen3 1.5B scores 38.8 on LiveCodeBench in this index. The benchmark average is 61.0 and the top score is 85.1.

How does Qwen3 1.5B rank on LiveCodeBench?

It ranks #544 of 600 models, in the 9th percentile. The leader is Claude Sonnet 4.5 Reasoning at 85.1.

Is Qwen3 1.5B 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 1.5B cost?

Qwen3 1.5B costs $0.84 per million input tokens and $4.53 per million output tokens.

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