Instruction following · Alibaba Cloud

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

Qwen3-Coder scores 86.6 on IFEval, placing it #144 of 600 models in the index. The benchmark average is 78.6 and the leader is Claude Opus 4.5 Pro at 96.1.

Score
86.6
0–100 scale
Rank
#144
of 600
Percentile
76th
within the index
Benchmark avg
78.6
all models
Leader
96.1
Claude Opus 4.5 Pro
Gap to leader
9.5
points

Score distribution

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

Claude Opus 4.5 Pro 96.1
Claude Opus 4.5 Reasoning 95.9
GPT-5.2 Pro 95.6
GPT-5.2 Max 95.2
GPT-5.2 Reasoning 95.0
GPT-5.1 Pro 94.8
Gemini 3 Pro Max 94.7
GPT-5.1 Reasoning 94.6
Claude Opus 4.5 Max 94.5
o4 Reasoning 94.5

Top 10 leaderboard

#ModelProviderContextInput / 1MAvg score
1 Claude Opus 4.5 Pro Anthropic 200000 $20.98 89.1
2 Claude Opus 4.5 Reasoning Anthropic 2000000 $20.91 88.2
3 GPT-5.2 Pro OpenAI 2000000 $21.32 89.6
4 GPT-5.2 Max OpenAI 1000000 $21.39 89.2
5 GPT-5.2 Reasoning OpenAI 1000000 $20.98 87.5
6 GPT-5.1 Pro OpenAI 200000 $19.77 87.8
7 Gemini 3 Pro Max Google DeepMind 2000000 $20.57 87.9
8 GPT-5.1 Reasoning OpenAI 400000 $20.27 88.3
9 Claude Opus 4.5 Max Anthropic 1000000 $20.90 87.8
10 o4 Reasoning OpenAI 1000000 $19.69 87.5

What this score means

On IFEval, Qwen3-Coder sits at #144 of 600. The leader, Claude Opus 4.5 Pro, scores 96.1, so the gap to the top is 9.5 points. The median model in this index scores 81.2, which puts Qwen3-Coder above the midpoint.

Alibaba Cloud models average 80.9 on this benchmark. Qwen3-Coder is 5.7 points above that provider line, so it is a stronger result than the average Alibaba Cloud model.

Among coding models, the average is 77.6. Qwen3-Coder is 9.0 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 86.6 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 IFEval. The models immediately around it in the ranking are shown below so you can compare score and price together.

ModelProviderContextInput / 1MAvg score
Command A Max Cohere 400000 $14.28 79.9
Magistral Instruct Mistral AI 65536 $4.48 78.4
DeepSeek-Coder DeepSeek 32768 $4.55 78.1
Mistral Large 3 Chat Mistral AI 1000000 $4.90 79.1
Qwen3-Coder Alibaba Cloud 200000 $4.94 79.5
Hunyuan-Turbo Reasoning Tencent 128000 $11.89 77.5
ERNIE 4.5 Baidu 65536 $13.44 80.0

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
LiveCodeBench 69.8 196 67th
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 IFEval?

Qwen3-Coder scores 86.6 on IFEval in this index. The benchmark average is 78.6 and the top score is 96.1.

How does Qwen3-Coder rank on IFEval?

It ranks #144 of 600 models, in the 76th percentile. The leader is Claude Opus 4.5 Pro at 96.1.

Is Qwen3-Coder good at IFEval?

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 IFEval score calculated?

IFEval is a instruction following 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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