Preference · Alibaba Cloud

Qwen3-Coder 1.5B on Arena Elo: score, rank and what it means

Qwen3-Coder 1.5B scores 1215.0 on Arena Elo, placing it #538 of 600 models in the index. The benchmark average is 1349.9 and the leader is Claude Opus 4.5 Max at 1501.9.

Score
1215.0
0–100 scale
Rank
#538
of 600
Percentile
10th
within the index
Benchmark avg
1349.9
all models
Leader
1501.9
Claude Opus 4.5 Max
Gap to leader
286.9
points

Score distribution

The chart shows the top 10 models on Arena Elo, with Qwen3-Coder 1.5B highlighted. Longer bars mean higher scores.

Claude Opus 4.5 Max 1501.9
GPT-5.2 Reasoning 1500.4
GPT-5.2 Turbo 1500.3
Claude Opus 4.5 Reasoning 1497.5
GPT-5.2 Max 1495.3
Gemini 3 Pro Turbo 1494.9
Grok 4 Max 1491.4
Claude Opus 4.5 1491.2
GPT-5.1 Pro 1490.0
Grok 4 Reasoning 1487.6

Top 10 leaderboard

#ModelProviderContextInput / 1MAvg score
1 Claude Opus 4.5 Max Anthropic 1000000 $20.90 87.8
2 GPT-5.2 Reasoning OpenAI 1000000 $20.98 87.5
3 GPT-5.2 Turbo OpenAI 1000000 $20.73 87.4
4 Claude Opus 4.5 Reasoning Anthropic 2000000 $20.91 88.2
5 GPT-5.2 Max OpenAI 1000000 $21.39 89.2
6 Gemini 3 Pro Turbo Google DeepMind 400000 $19.62 86.4
7 Grok 4 Max xAI 2000000 $19.70 86.6
8 Claude Opus 4.5 Anthropic 400000 $19.42 87.7
9 GPT-5.1 Pro OpenAI 200000 $19.77 87.8
10 Grok 4 Reasoning xAI 2000000 $19.67 87.8

What this score means

On Arena Elo, Qwen3-Coder 1.5B sits at #538 of 600. The leader, Claude Opus 4.5 Max, scores 1501.9, so the gap to the top is 286.9 points. The median model in this index scores 1373.8, which puts Qwen3-Coder 1.5B below the midpoint.

Alibaba Cloud models average 1370.9 on this benchmark. Qwen3-Coder 1.5B is 155.9 points below that provider line, so it is a weaker result than the average Alibaba Cloud model.

Among coding models, the average is 1341.0. Qwen3-Coder 1.5B is 126.0 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 1215.0 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 $0.76 per million input tokens, Qwen3-Coder 1.5B is below the median input price of $4.00 across the 600 models scored on Arena Elo. The models immediately around it in the ranking are shown below so you can compare score and price together.

ModelProviderContextInput / 1MAvg score
Mixtral Turbo 7B Together AI 8192 $0.68 53.2
GLM-4.5 1.5B Zhipu AI 16384 $0.65 53.3
Yi-Large 7B 01.AI 4096 $0.83 55.0
Mixtral 7B Mistral AI 16384 $0.70 54.1
Qwen3-Coder 1.5B Alibaba Cloud 32768 $0.76 52.8
DBRX 7B Databricks 8192 $0.65 51.9
Hunyuan-Large 1.5B Tencent 8192 $0.54 50.5

Other benchmarks for Qwen3-Coder 1.5B

BenchmarkScoreRankPercentileRelative
MMLU-Pro 57.8 552 8th
GPQA Diamond 46.7 552 8th
SWE-bench Verified 37.0 541 10th
HumanEval 58.6 517 14th
MATH-500 51.9 541 10th
AIME 2025 43.2 521 13th
LiveCodeBench 40.8 533 11th
IFEval 63.8 540 10th
TruthfulQA 59.9 532 11th
HellaSwag 68.5 555 8th
MMMU 53.0 520 13th

FAQ

What score does Qwen3-Coder 1.5B get on Arena Elo?

Qwen3-Coder 1.5B scores 1215.0 on Arena Elo in this index. The benchmark average is 1349.9 and the top score is 1501.9.

How does Qwen3-Coder 1.5B rank on Arena Elo?

It ranks #538 of 600 models, in the 10th percentile. The leader is Claude Opus 4.5 Max at 1501.9.

Is Qwen3-Coder 1.5B good at Arena Elo?

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 Arena Elo score calculated?

Arena Elo is a preference 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 1.5B cost?

Qwen3-Coder 1.5B costs $0.76 per million input tokens and $2.67 per million output tokens.

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