Instruction following · Perplexity

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

Sonar Max scores 85.2 on IFEval, placing it #188 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
85.2
0–100 scale
Rank
#188
of 600
Percentile
69th
within the index
Benchmark avg
78.6
all models
Leader
96.1
Claude Opus 4.5 Pro
Gap to leader
10.9
points

Score distribution

The chart shows the top 10 models on IFEval, with Sonar 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 Max sits at #188 of 600. The leader, Claude Opus 4.5 Pro, scores 96.1, so the gap to the top is 10.9 points. The median model in this index scores 81.2, which puts Sonar Max above the midpoint.

Perplexity models average 82.6 on this benchmark. Sonar Max is 2.6 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 Max is 0.0 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 85.2 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 $11.60 per million input tokens, Sonar 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
Hunyuan-Turbo Turbo Tencent 65536 $11.60 77.4
Llama 4 Scout Instruct Meta AI 32768 $4.59 79.1
QwQ Chat Alibaba Cloud 65536 $4.28 78.2
Reka Flash Reasoning Reka AI 32768 $10.70 75.6
Sonar Max Perplexity 32768 $11.60 77.8
Sonar Reasoning Perplexity 200000 $11.48 76.2
Command R+ Cohere 32768 $3.96 76.3

Other benchmarks for Sonar Max

BenchmarkScoreRankPercentileRelative
MMLU-Pro 81.3 141 77th
GPQA Diamond 73.7 180 70th
SWE-bench Verified 63.0 253 58th
HumanEval 82.1 186 69th
MATH-500 83.3 143 76th
AIME 2025 74.9 156 74th
LiveCodeBench 72.8 133 78th
TruthfulQA 78.9 224 63th
HellaSwag 85.3 232 61th
MMMU 75.4 156 74th
Arena Elo 1395.2 227 62th

FAQ

What score does Sonar Max get on IFEval?

Sonar Max scores 85.2 on IFEval in this index. The benchmark average is 78.6 and the top score is 96.1.

How does Sonar Max rank on IFEval?

It ranks #188 of 600 models, in the 69th percentile. The leader is Claude Opus 4.5 Pro at 96.1.

Is Sonar 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 Max cost?

Sonar Max costs $11.60 per million input tokens and $42.81 per million output tokens.

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