Commonsense · Perplexity

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

Sonar Pro scores 85.5 on HellaSwag, placing it #229 of 600 models in the index. The benchmark average is 81.4 and the leader is GPT-5.2 Max at 96.1.

Score
85.5
0–100 scale
Rank
#229
of 600
Percentile
62th
within the index
Benchmark avg
81.4
all models
Leader
96.1
GPT-5.2 Max
Gap to leader
10.6
points

Score distribution

The chart shows the top 10 models on HellaSwag, with Sonar 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 sits at #229 of 600. The leader, GPT-5.2 Max, scores 96.1, so the gap to the top is 10.6 points. The median model in this index scores 83.6, which puts Sonar Pro above the midpoint.

Perplexity models average 84.7 on this benchmark. Sonar Pro is 0.8 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 is 1.3 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 85.5 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 $11.25 per million input tokens, Sonar 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
Llama 3 DeepInfra DeepInfra 128000 $3.67 74.0
Seed-OSS Chat ByteDance 65536 $3.49 74.4
GPT-5.1 Nano OpenAI 32768 $9.56 74.1
Qwen3-Coder Base Alibaba Cloud 200000 $3.99 76.6
Sonar Pro Perplexity 65536 $11.25 77.1
Qwen3 Base Alibaba Cloud 65536 $4.33 77.4
Llama 3 Hyperbolic Hyperbolic 65536 $3.86 74.5

Other benchmarks for Sonar Pro

BenchmarkScoreRankPercentileRelative
MMLU-Pro 81.1 146 76th
GPQA Diamond 69.9 269 55th
SWE-bench Verified 67.4 160 73th
HumanEval 79.0 266 56th
MATH-500 82.3 158 74th
AIME 2025 75.0 154 74th
LiveCodeBench 72.4 140 77th
IFEval 83.7 221 63th
TruthfulQA 80.8 163 73th
MMMU 71.5 259 57th
Arena Elo 1413.5 175 71th

FAQ

What score does Sonar Pro get on HellaSwag?

Sonar Pro scores 85.5 on HellaSwag in this index. The benchmark average is 81.4 and the top score is 96.1.

How does Sonar Pro rank on HellaSwag?

It ranks #229 of 600 models, in the 62nd percentile. The leader is GPT-5.2 Max at 96.1.

Is Sonar 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 cost?

Sonar Pro costs $11.25 per million input tokens and $46.14 per million output tokens.

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