Coding · Perplexity

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

Sonar Turbo scores 78.7 on HumanEval, placing it #272 of 600 models in the index. The benchmark average is 74.0 and the leader is GPT-5.2 Pro at 96.8.

Score
78.7
0–100 scale
Rank
#272
of 600
Percentile
55th
within the index
Benchmark avg
74.0
all models
Leader
96.8
GPT-5.2 Pro
Gap to leader
18.1
points

Score distribution

The chart shows the top 10 models on HumanEval, with Sonar 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 Turbo sits at #272 of 600. The leader, GPT-5.2 Pro, scores 96.8, so the gap to the top is 18.1 points. The median model in this index scores 77.4, which puts Sonar Turbo above the midpoint.

Perplexity models average 78.6 on this benchmark. Sonar Turbo is 0.1 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 Turbo is 3.5 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 78.7 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 $10.71 per million input tokens, Sonar 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
Llama 3 Modal Base Modal 16384 $3.21 72.2
Llama 3 Modal Modal 32768 $3.82 74.9
GLM-4.5 Base Zhipu AI 32768 $3.99 74.9
Mixtral Groq Groq 16384 $3.37 73.1
Sonar Turbo Perplexity 65536 $10.71 75.7
Llama 3 Baseten Instruct Baseten 200000 $3.91 76.2
Llama 3 Lambda Instruct Lambda 32768 $3.92 75.8

Other benchmarks for Sonar Turbo

BenchmarkScoreRankPercentileRelative
MMLU-Pro 80.4 172 71th
GPQA Diamond 73.1 197 67th
SWE-bench Verified 66.3 188 69th
MATH-500 78.8 243 60th
AIME 2025 71.0 237 61th
LiveCodeBench 67.9 228 62th
IFEval 82.7 254 58th
TruthfulQA 79.1 213 65th
HellaSwag 83.6 301 50th
MMMU 71.2 268 55th
Arena Elo 1387.3 258 57th

FAQ

What score does Sonar Turbo get on HumanEval?

Sonar Turbo scores 78.7 on HumanEval in this index. The benchmark average is 74.0 and the top score is 96.8.

How does Sonar Turbo rank on HumanEval?

It ranks #272 of 600 models, in the 55th percentile. The leader is GPT-5.2 Pro at 96.8.

Is Sonar 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 Turbo cost?

Sonar Turbo costs $10.71 per million input tokens and $43.83 per million output tokens.

Related