Instruction following · Perplexity

Sonar Pro Max on IFEval: score, rank and what it means

Sonar Pro Max scores 88.3 on IFEval, placing it #96 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
88.3
0–100 scale
Rank
#96
of 600
Percentile
84th
within the index
Benchmark avg
78.6
all models
Leader
96.1
Claude Opus 4.5 Pro
Gap to leader
7.8
points

Score distribution

The chart shows the top 10 models on IFEval, with Sonar Pro 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, Sonar Pro Max sits at #96 of 600. The leader, Claude Opus 4.5 Pro, scores 96.1, so the gap to the top is 7.8 points. The median model in this index scores 81.2, which puts Sonar Pro Max above the midpoint.

Perplexity models average 82.6 on this benchmark. Sonar Pro Max is 5.7 points above that provider line, so it is a stronger result than the average Perplexity model.

Among multimodal models, the average is 85.2. Sonar Pro Max is 3.1 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 88.3 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 $14.01 per million input tokens, Sonar Pro 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
GPT-5.2 Mini OpenAI 200000 $13.34 80.4
Grok 3 Pro xAI 400000 $16.61 83.8
Claude 3.7 Sonnet Anthropic 200000 $14.91 81.6
Claude 3.7 Sonnet Pro Anthropic 128000 $16.07 83.3
Sonar Pro Max Perplexity 128000 $14.01 81.1
DeepSeek-R1 Base DeepSeek 400000 $5.05 80.1
GPT-4.1 Turbo OpenAI 1000000 $16.12 82.9

Other benchmarks for Sonar Pro Max

BenchmarkScoreRankPercentileRelative
MMLU-Pro 83.7 90 85th
GPQA Diamond 78.8 73 88th
SWE-bench Verified 71.7 81 87th
HumanEval 85.1 113 81th
MATH-500 86.2 90 85th
AIME 2025 74.9 157 74th
LiveCodeBench 75.7 88 85th
TruthfulQA 82.0 130 78th
HellaSwag 88.0 143 76th
MMMU 77.2 113 81th
Arena Elo 1437.8 102 83th

FAQ

What score does Sonar Pro Max get on IFEval?

Sonar Pro Max scores 88.3 on IFEval in this index. The benchmark average is 78.6 and the top score is 96.1.

How does Sonar Pro Max rank on IFEval?

It ranks #96 of 600 models, in the 84th percentile. The leader is Claude Opus 4.5 Pro at 96.1.

Is Sonar Pro 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 Sonar Pro Max cost?

Sonar Pro Max costs $14.01 per million input tokens and $69.33 per million output tokens.

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