Instruction following · Anthropic

Claude 3.7 Sonnet Max on IFEval: score, rank and what it means

Claude 3.7 Sonnet Max scores 90.0 on IFEval, placing it #71 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
90.0
0–100 scale
Rank
#71
of 600
Percentile
88th
within the index
Benchmark avg
78.6
all models
Leader
96.1
Claude Opus 4.5 Pro
Gap to leader
6.1
points

Score distribution

The chart shows the top 10 models on IFEval, with Claude 3.7 Sonnet 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, Claude 3.7 Sonnet Max sits at #71 of 600. The leader, Claude Opus 4.5 Pro, scores 96.1, so the gap to the top is 6.1 points. The median model in this index scores 81.2, which puts Claude 3.7 Sonnet Max above the midpoint.

Anthropic models average 88.3 on this benchmark. Claude 3.7 Sonnet Max is 1.7 points above that provider line, so it is a stronger result than the average Anthropic model.

Among frontier models, the average is 92.0. Claude 3.7 Sonnet Max is 2.0 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 90.0 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 $16.88 per million input tokens, Claude 3.7 Sonnet 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
Gemini 3 Flash Reasoning Google DeepMind 128000 $17.05 83.7
Grok 3 Reasoning xAI 200000 $16.07 82.9
Claude 3.7 Sonnet Reasoning Anthropic 128000 $16.30 83.7
Claude Haiku 4.5 Pro Anthropic 1000000 $15.07 80.8
Claude 3.7 Sonnet Max Anthropic 128000 $16.88 83.7
Claude Haiku 4.5 Max Anthropic 200000 $15.98 83.8
Claude Haiku 4.5 Reasoning Anthropic 128000 $15.11 81.4

Other benchmarks for Claude 3.7 Sonnet Max

BenchmarkScoreRankPercentileRelative
MMLU-Pro 86.0 54 91th
GPQA Diamond 76.8 106 82th
SWE-bench Verified 76.1 28 95th
HumanEval 90.9 35 94th
MATH-500 87.2 74 88th
AIME 2025 80.7 78 87th
LiveCodeBench 78.1 63 90th
TruthfulQA 84.7 68 89th
HellaSwag 91.2 55 91th
MMMU 78.8 78 87th
Arena Elo 1461.6 50 92th

FAQ

What score does Claude 3.7 Sonnet Max get on IFEval?

Claude 3.7 Sonnet Max scores 90.0 on IFEval in this index. The benchmark average is 78.6 and the top score is 96.1.

How does Claude 3.7 Sonnet Max rank on IFEval?

It ranks #71 of 600 models, in the 88th percentile. The leader is Claude Opus 4.5 Pro at 96.1.

Is Claude 3.7 Sonnet 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 Claude 3.7 Sonnet Max cost?

Claude 3.7 Sonnet Max costs $16.88 per million input tokens and $83.20 per million output tokens.

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