Instruction following · Alibaba Cloud

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

Qwen3-Max Nano scores 79.3 on IFEval, placing it #346 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
79.3
0–100 scale
Rank
#346
of 600
Percentile
42th
within the index
Benchmark avg
78.6
all models
Leader
96.1
Claude Opus 4.5 Pro
Gap to leader
16.8
points

Score distribution

The chart shows the top 10 models on IFEval, with Qwen3-Max Nano 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 Nano sits at #346 of 600. The leader, Claude Opus 4.5 Pro, scores 96.1, so the gap to the top is 16.8 points. The median model in this index scores 81.2, which puts Qwen3-Max Nano below the midpoint.

Alibaba Cloud models average 80.9 on this benchmark. Qwen3-Max Nano is 1.6 points below that provider line, so it is a weaker result than the average Alibaba Cloud model.

Among mid-range models, the average is 76.5. Qwen3-Max Nano is 2.8 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 79.3 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 $8.31 per million input tokens, Qwen3-Max Nano 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
Llama 3.1 Turbo Base Together AI 16384 $3.30 73.0
Mixtral Turbo Base Together AI 32768 $2.53 69.7
Nova Lite Turbo Amazon 8192 $9.14 73.2
Nova Pro Mini Amazon 16384 $7.74 70.6
Qwen3-Max Nano Alibaba Cloud 65536 $8.31 71.7
Codestral Base Mistral AI 8192 $3.31 73.1
Command A Mini Cohere 8192 $8.12 71.0

Other benchmarks for Qwen3-Max Nano

BenchmarkScoreRankPercentileRelative
MMLU-Pro 76.0 308 49th
GPQA Diamond 65.0 361 40th
SWE-bench Verified 59.2 339 44th
HumanEval 74.7 349 42th
MATH-500 75.6 313 48th
AIME 2025 69.1 280 53th
LiveCodeBench 62.5 343 43th
TruthfulQA 76.8 287 52th
HellaSwag 81.9 352 41th
MMMU 68.5 336 44th
Arena Elo 1348.2 368 39th

FAQ

What score does Qwen3-Max Nano get on IFEval?

Qwen3-Max Nano scores 79.3 on IFEval in this index. The benchmark average is 78.6 and the top score is 96.1.

How does Qwen3-Max Nano rank on IFEval?

It ranks #346 of 600 models, in the 42nd percentile. The leader is Claude Opus 4.5 Pro at 96.1.

Is Qwen3-Max Nano good at IFEval?

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 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 Nano cost?

Qwen3-Max Nano costs $8.31 per million input tokens and $42.90 per million output tokens.

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