Instruction following · Perplexity

Sonar on IFEval: score, rank and what it means

Sonar scores 84.7 on IFEval, placing it #198 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
84.7
0–100 scale
Rank
#198
of 600
Percentile
67th
within the index
Benchmark avg
78.6
all models
Leader
96.1
Claude Opus 4.5 Pro
Gap to leader
11.4
points

Score distribution

The chart shows the top 10 models on IFEval, with Sonar 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 sits at #198 of 600. The leader, Claude Opus 4.5 Pro, scores 96.1, so the gap to the top is 11.4 points. The median model in this index scores 81.2, which puts Sonar above the midpoint.

Perplexity models average 82.6 on this benchmark. Sonar is 2.1 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 is 0.5 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 84.7 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 $10.57 per million input tokens, Sonar 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 Tencent 128000 $10.55 75.8
Llama 3 Anyscale Anyscale 65536 $3.94 74.7
Sonar Pro Turbo Perplexity 128000 $13.55 79.0
DeepSeek-Coder Instruct DeepSeek 32768 $4.34 77.7
Sonar Perplexity 200000 $10.57 76.0
Llama 3.1 Cerebras Cerebras 128000 $4.01 76.0
o4 Mini OpenAI 200000 $11.92 77.7

Other benchmarks for Sonar

BenchmarkScoreRankPercentileRelative
MMLU-Pro 79.1 207 66th
GPQA Diamond 71.2 237 61th
SWE-bench Verified 65.8 198 67th
HumanEval 81.9 188 69th
MATH-500 76.3 294 51th
AIME 2025 73.9 187 69th
LiveCodeBench 68.5 217 64th
TruthfulQA 78.7 230 62th
HellaSwag 86.0 217 64th
MMMU 70.1 300 50th
Arena Elo 1394.1 233 61th

FAQ

What score does Sonar get on IFEval?

Sonar scores 84.7 on IFEval in this index. The benchmark average is 78.6 and the top score is 96.1.

How does Sonar rank on IFEval?

It ranks #198 of 600 models, in the 67th percentile. The leader is Claude Opus 4.5 Pro at 96.1.

Is Sonar 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 cost?

Sonar costs $10.57 per million input tokens and $50.13 per million output tokens.

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