Commonsense · Perplexity

Sonar Pro Reasoning on HellaSwag: score, rank and what it means

Sonar Pro Reasoning scores 89.9 on HellaSwag, placing it #89 of 600 models in the index. The benchmark average is 81.4 and the leader is GPT-5.2 Max at 96.1.

Score
89.9
0–100 scale
Rank
#89
of 600
Percentile
85th
within the index
Benchmark avg
81.4
all models
Leader
96.1
GPT-5.2 Max
Gap to leader
6.2
points

Score distribution

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

GPT-5.2 Max 96.1
GPT-5.2 Turbo 95.5
GPT-5.2 Pro 95.3
Claude Opus 4.5 Pro 95.2
Claude Sonnet 4.5 Reasoning 95.2
Grok 4 Reasoning 95.2
GPT-5.2 Vision 94.6
Gemini 3 Pro Turbo 94.6
GPT-5.1 Reasoning 94.4
o4 Pro 94.4

Top 10 leaderboard

#ModelProviderContextInput / 1MAvg score
1 GPT-5.2 Max OpenAI 1000000 $21.39 89.2
2 GPT-5.2 Turbo OpenAI 1000000 $20.73 87.4
3 GPT-5.2 Pro OpenAI 2000000 $21.32 89.6
4 Claude Opus 4.5 Pro Anthropic 200000 $20.98 89.1
5 Claude Sonnet 4.5 Reasoning Anthropic 400000 $19.48 87.7
6 Grok 4 Reasoning xAI 2000000 $19.67 87.8
7 GPT-5.2 Vision OpenAI 1000000 $19.03 87.4
8 Gemini 3 Pro Turbo Google DeepMind 400000 $19.62 86.4
9 GPT-5.1 Reasoning OpenAI 400000 $20.27 88.3
10 o4 Pro OpenAI 1000000 $19.37 87.3

What this score means

On HellaSwag, Sonar Pro Reasoning sits at #89 of 600. The leader, GPT-5.2 Max, scores 96.1, so the gap to the top is 6.2 points. The median model in this index scores 83.6, which puts Sonar Pro Reasoning above the midpoint.

Perplexity models average 84.7 on this benchmark. Sonar Pro Reasoning is 5.2 points above that provider line, so it is a stronger result than the average Perplexity model.

Among multimodal models, the average is 86.8. Sonar Pro Reasoning is 3.1 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 89.9 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 $13.94 per million input tokens, Sonar Pro Reasoning is above the median input price of $4.00 across the 600 models scored on HellaSwag. The models immediately around it in the ranking are shown below so you can compare score and price together.

ModelProviderContextInput / 1MAvg score
DeepSeek-R1 Base DeepSeek 400000 $5.05 80.1
GPT-4.1 Turbo OpenAI 1000000 $16.12 82.9
GLM-4.6 Chat Zhipu AI 400000 $4.89 79.8
GPT-5.2 Mini OpenAI 200000 $13.34 80.4
Sonar Pro Reasoning Perplexity 128000 $13.94 80.5
DeepSeek-R1 DeepSeek 128000 $5.83 82.8
Gemini 3 Flash Google DeepMind 128000 $15.67 83.6

Other benchmarks for Sonar Pro Reasoning

BenchmarkScoreRankPercentileRelative
MMLU-Pro 82.6 112 81th
GPQA Diamond 76.2 116 81th
SWE-bench Verified 71.7 82 86th
HumanEval 82.7 166 72th
MATH-500 85.1 108 82th
AIME 2025 73.7 194 68th
LiveCodeBench 75.6 90 85th
IFEval 87.1 131 78th
TruthfulQA 84.4 77 87th
MMMU 76.1 137 77th
Arena Elo 1439.7 97 84th

FAQ

What score does Sonar Pro Reasoning get on HellaSwag?

Sonar Pro Reasoning scores 89.9 on HellaSwag in this index. The benchmark average is 81.4 and the top score is 96.1.

How does Sonar Pro Reasoning rank on HellaSwag?

It ranks #89 of 600 models, in the 85th percentile. The leader is GPT-5.2 Max at 96.1.

Is Sonar Pro Reasoning good at HellaSwag?

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 HellaSwag score calculated?

HellaSwag is a commonsense 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 Reasoning cost?

Sonar Pro Reasoning costs $13.94 per million input tokens and $72.76 per million output tokens.

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