Coding · Perplexity

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

Sonar Max scores 72.8 on LiveCodeBench, placing it #133 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
72.8
0–100 scale
Rank
#133
of 600
Percentile
78th
within the index
Benchmark avg
61.0
all models
Leader
85.1
Claude Sonnet 4.5 Reasoning
Gap to leader
12.3
points

Score distribution

The chart shows the top 10 models on LiveCodeBench, with Sonar Max 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 Max sits at #133 of 600. The leader, Claude Sonnet 4.5 Reasoning, scores 85.1, so the gap to the top is 12.3 points. The median model in this index scores 64.7, which puts Sonar Max above the midpoint.

Perplexity models average 68.2 on this benchmark. Sonar Max is 4.6 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 Max 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 72.8 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 LiveCodeBench. The models immediately around it in the ranking are shown below so you can compare score and price together.

ModelProviderContextInput / 1MAvg score
Reka Core Reasoning Reka AI 32768 $13.11 78.5
Command A Turbo Cohere 32768 $13.53 79.8
ERNIE 4.5 Baidu 65536 $13.44 80.0
Claude Sonnet 4.5 Mini Anthropic 32768 $11.43 76.5
Sonar Max Perplexity 32768 $11.60 77.8
GLM-4.6 Instruct Zhipu AI 1000000 $5.15 80.4
Hunyuan-Turbo Pro Tencent 65536 $12.00 77.6

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
IFEval 85.2 188 69th
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 LiveCodeBench?

Sonar Max scores 72.8 on LiveCodeBench in this index. The benchmark average is 61.0 and the top score is 85.1.

How does Sonar Max rank on LiveCodeBench?

It ranks #133 of 600 models, in the 78th percentile. The leader is Claude Sonnet 4.5 Reasoning at 85.1.

Is Sonar Max 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 Max cost?

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

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