Instruction following · Anthropic

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

Claude 3.7 Sonnet Vision scores 87.9 on IFEval, placing it #103 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
87.9
0–100 scale
Rank
#103
of 600
Percentile
83th
within the index
Benchmark avg
78.6
all models
Leader
96.1
Claude Opus 4.5 Pro
Gap to leader
8.2
points

Score distribution

The chart shows the top 10 models on IFEval, with Claude 3.7 Sonnet Vision 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 Vision sits at #103 of 600. The leader, Claude Opus 4.5 Pro, scores 96.1, so the gap to the top is 8.2 points. The median model in this index scores 81.2, which puts Claude 3.7 Sonnet Vision above the midpoint.

Anthropic models average 88.3 on this benchmark. Claude 3.7 Sonnet Vision is 0.4 points below that provider line, so it is a weaker result than the average Anthropic model.

Among multimodal models, the average is 85.2. Claude 3.7 Sonnet Vision is 2.7 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 87.9 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 $13.96 per million input tokens, Claude 3.7 Sonnet Vision 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
Kimi K1.5 Chat Moonshot AI 128000 $5.11 80.2
Nova Pro Turbo Amazon 128000 $13.18 78.4
Kimi K2 Chat Moonshot AI 400000 $5.74 82.1
MiniMax-M2 Chat MiniMax 200000 $5.02 80.2
Claude 3.7 Sonnet Vision Anthropic 400000 $13.96 81.0
Kimi K1.5 Moonshot AI 128000 $5.19 80.7
Sonar Pro Pro Perplexity 200000 $13.59 79.7

Other benchmarks for Claude 3.7 Sonnet Vision

BenchmarkScoreRankPercentileRelative
MMLU-Pro 82.5 113 81th
GPQA Diamond 77.3 100 83th
SWE-bench Verified 72.2 72 88th
HumanEval 85.4 106 82th
MATH-500 84.8 111 82th
AIME 2025 80.9 76 87th
LiveCodeBench 75.7 85 86th
TruthfulQA 81.6 136 77th
HellaSwag 89.4 100 83th
MMMU 73.8 196 67th
Arena Elo 1429.6 121 80th

FAQ

What score does Claude 3.7 Sonnet Vision get on IFEval?

Claude 3.7 Sonnet Vision scores 87.9 on IFEval in this index. The benchmark average is 78.6 and the top score is 96.1.

How does Claude 3.7 Sonnet Vision rank on IFEval?

It ranks #103 of 600 models, in the 83rd percentile. The leader is Claude Opus 4.5 Pro at 96.1.

Is Claude 3.7 Sonnet Vision 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 Vision cost?

Claude 3.7 Sonnet Vision costs $13.96 per million input tokens and $56.28 per million output tokens.

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