Instruction following · Alibaba Cloud

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

Qwen3-Max scores 92.5 on IFEval, placing it #31 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
92.5
0–100 scale
Rank
#31
of 600
Percentile
95th
within the index
Benchmark avg
78.6
all models
Leader
96.1
Claude Opus 4.5 Pro
Gap to leader
3.6
points

Score distribution

The chart shows the top 10 models on IFEval, with Qwen3-Max 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-Max sits at #31 of 600. The leader, Claude Opus 4.5 Pro, scores 96.1, so the gap to the top is 3.6 points. The median model in this index scores 81.2, which puts Qwen3-Max above the midpoint.

Alibaba Cloud models average 80.9 on this benchmark. Qwen3-Max is 11.6 points above that provider line, so it is a stronger result than the average Alibaba Cloud model.

Among frontier models, the average is 92.0. Qwen3-Max is 0.5 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 92.5 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 $17.37 per million input tokens, Qwen3-Max 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
Grok 3 Max xAI 2000000 $17.66 85.9
o4 Turbo OpenAI 2000000 $19.34 86.6
Claude Opus 4.5 Anthropic 400000 $19.42 87.7
Grok 4 Max xAI 2000000 $19.70 86.6
Qwen3-Max Alibaba Cloud 400000 $17.37 84.4
o3 Max OpenAI 2000000 $17.82 84.8
Claude Opus 4.5 Turbo Anthropic 2000000 $19.57 85.7

Other benchmarks for Qwen3-Max

BenchmarkScoreRankPercentileRelative
MMLU-Pro 84.0 83 86th
GPQA Diamond 82.3 26 96th
SWE-bench Verified 73.3 62 90th
HumanEval 88.5 66 89th
MATH-500 89.7 53 91th
AIME 2025 81.1 74 88th
LiveCodeBench 82.2 24 96th
TruthfulQA 83.4 99 84th
HellaSwag 92.9 25 96th
MMMU 78.7 81 87th
Arena Elo 1449.2 74 88th

FAQ

What score does Qwen3-Max get on IFEval?

Qwen3-Max scores 92.5 on IFEval in this index. The benchmark average is 78.6 and the top score is 96.1.

How does Qwen3-Max rank on IFEval?

It ranks #31 of 600 models, in the 95th percentile. The leader is Claude Opus 4.5 Pro at 96.1.

Is Qwen3-Max 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-Max cost?

Qwen3-Max costs $17.37 per million input tokens and $94.30 per million output tokens.

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