Coding · Perplexity

Sonar Pro Turbo on HumanEval: score, rank and what it means

Sonar Pro Turbo scores 84.7 on HumanEval, placing it #123 of 600 models in the index. The benchmark average is 74.0 and the leader is GPT-5.2 Pro at 96.8.

Score
84.7
0–100 scale
Rank
#123
of 600
Percentile
80th
within the index
Benchmark avg
74.0
all models
Leader
96.8
GPT-5.2 Pro
Gap to leader
12.1
points

Score distribution

The chart shows the top 10 models on HumanEval, with Sonar Pro Turbo highlighted. Longer bars mean higher scores.

GPT-5.2 Pro 96.8
Gemini 3 Pro Pro 95.0
o4 Max 94.6
Grok 4 Reasoning 93.8
Claude Opus 4.5 93.7
GPT-5.2 Max 93.6
Claude Opus 4.5 Pro 93.4
Grok 4 Max 93.4
GPT-5.2 Turbo 93.2
GPT-5.1 Reasoning 92.9

Top 10 leaderboard

#ModelProviderContextInput / 1MAvg score
1 GPT-5.2 Pro OpenAI 2000000 $21.32 89.6
2 Gemini 3 Pro Pro Google DeepMind 200000 $19.80 87.3
3 o4 Max OpenAI 2000000 $19.51 86.2
4 Grok 4 Reasoning xAI 2000000 $19.67 87.8
5 Claude Opus 4.5 Anthropic 400000 $19.42 87.7
6 GPT-5.2 Max OpenAI 1000000 $21.39 89.2
7 Claude Opus 4.5 Pro Anthropic 200000 $20.98 89.1
8 Grok 4 Max xAI 2000000 $19.70 86.6
9 GPT-5.2 Turbo OpenAI 1000000 $20.73 87.4
10 GPT-5.1 Reasoning OpenAI 400000 $20.27 88.3

What this score means

On HumanEval, Sonar Pro Turbo sits at #123 of 600. The leader, GPT-5.2 Pro, scores 96.8, so the gap to the top is 12.1 points. The median model in this index scores 77.4, which puts Sonar Pro Turbo above the midpoint.

Perplexity models average 78.6 on this benchmark. Sonar Pro Turbo is 6.1 points above that provider line, so it is a stronger result than the average Perplexity model.

Among multimodal models, the average is 82.2. Sonar Pro Turbo is 2.5 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 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 $13.55 per million input tokens, Sonar Pro Turbo is above the median input price of $4.00 across the 600 models scored on HumanEval. The models immediately around it in the ranking are shown below so you can compare score and price together.

ModelProviderContextInput / 1MAvg score
Mistral Large 3 Chat Mistral AI 1000000 $4.90 79.1
DeepSeek-R1 Chat DeepSeek 400000 $5.62 82.4
Kimi K2 Base Moonshot AI 65536 $4.82 79.2
Claude Haiku 4.5 Anthropic 1000000 $13.86 79.4
Sonar Pro Turbo Perplexity 128000 $13.55 79.0
Gemini 3 Flash Vision Google DeepMind 400000 $15.06 81.9
Doubao 1.5 Pro Pro ByteDance 128000 $14.10 80.2

Other benchmarks for Sonar Pro Turbo

BenchmarkScoreRankPercentileRelative
MMLU-Pro 81.6 132 78th
GPQA Diamond 74.2 163 73th
SWE-bench Verified 66.3 187 69th
MATH-500 84.1 125 79th
AIME 2025 73.9 188 69th
LiveCodeBench 73.7 116 81th
IFEval 84.9 196 67th
TruthfulQA 81.2 151 75th
HellaSwag 89.3 106 82th
MMMU 75.2 160 73th
Arena Elo 1434.8 107 82th

FAQ

What score does Sonar Pro Turbo get on HumanEval?

Sonar Pro Turbo scores 84.7 on HumanEval in this index. The benchmark average is 74.0 and the top score is 96.8.

How does Sonar Pro Turbo rank on HumanEval?

It ranks #123 of 600 models, in the 80th percentile. The leader is GPT-5.2 Pro at 96.8.

Is Sonar Pro Turbo good at HumanEval?

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 HumanEval score calculated?

HumanEval is a coding 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 Turbo cost?

Sonar Pro Turbo costs $13.55 per million input tokens and $57.97 per million output tokens.

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