Instruction following · Anthropic

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

Claude 3.7 Sonnet Nano scores 76.2 on IFEval, placing it #386 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
76.2
0–100 scale
Rank
#386
of 600
Percentile
36th
within the index
Benchmark avg
78.6
all models
Leader
96.1
Claude Opus 4.5 Pro
Gap to leader
19.9
points

Score distribution

The chart shows the top 10 models on IFEval, with Claude 3.7 Sonnet 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, Claude 3.7 Sonnet Nano sits at #386 of 600. The leader, Claude Opus 4.5 Pro, scores 96.1, so the gap to the top is 19.9 points. The median model in this index scores 81.2, which puts Claude 3.7 Sonnet Nano below the midpoint.

Anthropic models average 88.3 on this benchmark. Claude 3.7 Sonnet Nano is 12.1 points below that provider line, so it is a weaker result than the average Anthropic model.

Among mid-range models, the average is 76.5. Claude 3.7 Sonnet Nano is 0.3 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 76.2 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 $6.93 per million input tokens, Claude 3.7 Sonnet 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
ERNIE 4.0 Mini Baidu 32768 $7.11 68.8
OLMo 2 Base Allen Institute for AI 65536 $2.39 67.4
Grok 3 Nano xAI 8192 $7.12 67.8
Mixtral Groq Base Groq 32768 $2.66 68.4
Claude 3.7 Sonnet Nano Anthropic 65536 $6.93 68.9
Molmo Chat Allen Institute for AI 32768 $2.40 66.7
DeepSeek-V3.2 8B DeepSeek 32768 $2.02 66.2

Other benchmarks for Claude 3.7 Sonnet Nano

BenchmarkScoreRankPercentileRelative
MMLU-Pro 72.5 373 38th
GPQA Diamond 63.8 379 37th
SWE-bench Verified 58.9 344 43th
HumanEval 72.8 376 37th
MATH-500 72.4 363 40th
AIME 2025 62.0 376 37th
LiveCodeBench 59.7 372 38th
TruthfulQA 73.0 368 39th
HellaSwag 81.1 365 39th
MMMU 65.6 376 37th
Arena Elo 1338.9 379 37th

FAQ

What score does Claude 3.7 Sonnet Nano get on IFEval?

Claude 3.7 Sonnet Nano scores 76.2 on IFEval in this index. The benchmark average is 78.6 and the top score is 96.1.

How does Claude 3.7 Sonnet Nano rank on IFEval?

It ranks #386 of 600 models, in the 36th percentile. The leader is Claude Opus 4.5 Pro at 96.1.

Is Claude 3.7 Sonnet 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 Claude 3.7 Sonnet Nano cost?

Claude 3.7 Sonnet Nano costs $6.93 per million input tokens and $27.07 per million output tokens.

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