Commonsense · Perplexity

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

Sonar Mini scores 81.7 on HellaSwag, placing it #355 of 600 models in the index. The benchmark average is 81.4 and the leader is GPT-5.2 Max at 96.1.

Score
81.7
0–100 scale
Rank
#355
of 600
Percentile
41th
within the index
Benchmark avg
81.4
all models
Leader
96.1
GPT-5.2 Max
Gap to leader
14.4
points

Score distribution

The chart shows the top 10 models on HellaSwag, with Sonar Mini 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 Mini sits at #355 of 600. The leader, GPT-5.2 Max, scores 96.1, so the gap to the top is 14.4 points. The median model in this index scores 83.6, which puts Sonar Mini below the midpoint.

Perplexity models average 84.7 on this benchmark. Sonar Mini is 3.0 points below that provider line, so it is a weaker result than the average Perplexity model.

Among mid-range models, the average is 79.8. Sonar Mini 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 81.7 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 $6.52 per million input tokens, Sonar Mini 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 3.1 Base Meta AI 32768 $3.39 72.2
Qwen3-Max Nano Alibaba Cloud 65536 $8.31 71.7
Yi-Lightning Base 01.AI 16384 $3.31 72.7
Firesearch Reasoning Fireworks AI 32768 $7.74 69.0
Sonar Mini Perplexity 65536 $6.52 67.9
Auto Pro OpenRouter 8192 $8.41 71.2
Auto Reasoning OpenRouter 65536 $8.39 71.5

Other benchmarks for Sonar Mini

BenchmarkScoreRankPercentileRelative
MMLU-Pro 71.2 388 35th
GPQA Diamond 60.4 401 33th
SWE-bench Verified 56.9 369 39th
HumanEval 70.4 390 35th
MATH-500 72.7 360 40th
AIME 2025 60.4 385 36th
LiveCodeBench 55.1 403 33th
IFEval 77.5 373 38th
TruthfulQA 74.0 354 41th
MMMU 67.0 360 40th
Arena Elo 1334.4 383 36th

FAQ

What score does Sonar Mini get on HellaSwag?

Sonar Mini scores 81.7 on HellaSwag in this index. The benchmark average is 81.4 and the top score is 96.1.

How does Sonar Mini rank on HellaSwag?

It ranks #355 of 600 models, in the 41st percentile. The leader is GPT-5.2 Max at 96.1.

Is Sonar Mini good at HellaSwag?

It is below the median for this benchmark, so test it carefully before relying on it for this capability. 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 Mini cost?

Sonar Mini costs $6.52 per million input tokens and $35.69 per million output tokens.

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