Commonsense · Perplexity

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

Sonar Pro Pro scores 88.7 on HellaSwag, placing it #122 of 600 models in the index. The benchmark average is 81.4 and the leader is GPT-5.2 Max at 96.1.

Score
88.7
0–100 scale
Rank
#122
of 600
Percentile
80th
within the index
Benchmark avg
81.4
all models
Leader
96.1
GPT-5.2 Max
Gap to leader
7.4
points

Score distribution

The chart shows the top 10 models on HellaSwag, with Sonar Pro Pro 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 Pro sits at #122 of 600. The leader, GPT-5.2 Max, scores 96.1, so the gap to the top is 7.4 points. The median model in this index scores 83.6, which puts Sonar Pro Pro above the midpoint.

Perplexity models average 84.7 on this benchmark. Sonar Pro Pro is 4.0 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 Pro is 1.9 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 88.7 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 $13.59 per million input tokens, Sonar Pro Pro 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
GPT-5.1 Mini OpenAI 128000 $12.19 77.7
Llama 4 Maverick Chat Meta AI 128000 $5.09 79.7
ERNIE 4.0 Max Baidu 32768 $12.40 78.9
Reka Core Pro Reka AI 65536 $13.44 79.9
Sonar Pro Pro Perplexity 200000 $13.59 79.7
Claude Haiku 4.5 Vision Anthropic 128000 $13.01 79.2
Kimi K2 Base Moonshot AI 65536 $4.82 79.2

Other benchmarks for Sonar Pro Pro

BenchmarkScoreRankPercentileRelative
MMLU-Pro 79.4 202 66th
GPQA Diamond 72.6 210 65th
SWE-bench Verified 69.7 118 80th
HumanEval 83.0 160 73th
MATH-500 81.9 169 72th
AIME 2025 80.6 80 87th
LiveCodeBench 74.2 105 83th
IFEval 87.9 105 83th
TruthfulQA 79.3 208 65th
MMMU 78.9 77 87th
Arena Elo 1434.0 111 82th

FAQ

What score does Sonar Pro Pro get on HellaSwag?

Sonar Pro Pro scores 88.7 on HellaSwag in this index. The benchmark average is 81.4 and the top score is 96.1.

How does Sonar Pro Pro rank on HellaSwag?

It ranks #122 of 600 models, in the 80th percentile. The leader is GPT-5.2 Max at 96.1.

Is Sonar Pro Pro 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 Pro cost?

Sonar Pro Pro costs $13.59 per million input tokens and $73.47 per million output tokens.

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