Coding · Perplexity

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

Sonar Pro Turbo scores 73.7 on LiveCodeBench, placing it #116 of 600 models in the index. The benchmark average is 61.0 and the leader is Claude Sonnet 4.5 Reasoning at 85.1.

Score
73.7
0–100 scale
Rank
#116
of 600
Percentile
81th
within the index
Benchmark avg
61.0
all models
Leader
85.1
Claude Sonnet 4.5 Reasoning
Gap to leader
11.4
points

Score distribution

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

Claude Sonnet 4.5 Reasoning 85.1
Grok 4 Reasoning 85.1
Claude Opus 4.5 85.0
GPT-5.2 Max 84.8
Grok 4 Turbo 84.7
GPT-5.1 Turbo 84.6
GPT-5.2 Pro 84.6
GPT-5.2 Reasoning 84.6
Claude Opus 4.5 Pro 84.1
Gemini 3 Pro Max 83.6

Top 10 leaderboard

#ModelProviderContextInput / 1MAvg score
1 Claude Sonnet 4.5 Reasoning Anthropic 400000 $19.48 87.7
2 Grok 4 Reasoning xAI 2000000 $19.67 87.8
3 Claude Opus 4.5 Anthropic 400000 $19.42 87.7
4 GPT-5.2 Max OpenAI 1000000 $21.39 89.2
5 Grok 4 Turbo xAI 1000000 $19.21 86.7
6 GPT-5.1 Turbo OpenAI 2000000 $19.19 86.1
7 GPT-5.2 Pro OpenAI 2000000 $21.32 89.6
8 GPT-5.2 Reasoning OpenAI 1000000 $20.98 87.5
9 Claude Opus 4.5 Pro Anthropic 200000 $20.98 89.1
10 Gemini 3 Pro Max Google DeepMind 2000000 $20.57 87.9

What this score means

On LiveCodeBench, Sonar Pro Turbo sits at #116 of 600. The leader, Claude Sonnet 4.5 Reasoning, scores 85.1, so the gap to the top is 11.4 points. The median model in this index scores 64.7, which puts Sonar Pro Turbo above the midpoint.

Perplexity models average 68.2 on this benchmark. Sonar Pro Turbo is 5.5 points above that provider line, so it is a stronger result than the average Perplexity model.

Among multimodal models, the average is 70.3. Sonar Pro Turbo is 3.4 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 73.7 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 LiveCodeBench. The models immediately around it in the ranking are shown below so you can compare score and price together.

ModelProviderContextInput / 1MAvg score
Hunyuan-Large Chat Tencent 200000 $4.35 78.1
Llama 4 Scout Instruct Meta AI 32768 $4.59 79.1
Qwen3 Alibaba Cloud 128000 $5.04 80.3
Doubao 1.5 Pro ByteDance 200000 $13.65 79.7
Sonar Pro Turbo Perplexity 128000 $13.55 79.0
o3 Vision OpenAI 1000000 $15.24 81.8
Magistral Instruct Mistral AI 65536 $4.48 78.4

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
HumanEval 84.7 123 80th
MATH-500 84.1 125 79th
AIME 2025 73.9 188 69th
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 LiveCodeBench?

Sonar Pro Turbo scores 73.7 on LiveCodeBench in this index. The benchmark average is 61.0 and the top score is 85.1.

How does Sonar Pro Turbo rank on LiveCodeBench?

It ranks #116 of 600 models, in the 81st percentile. The leader is Claude Sonnet 4.5 Reasoning at 85.1.

Is Sonar Pro Turbo good at LiveCodeBench?

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 LiveCodeBench score calculated?

LiveCodeBench 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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