Commonsense · Mistral AI

Mistral Small 3 on HellaSwag: score, rank and what it means

Mistral Small 3 scores 86.5 on HellaSwag, placing it #193 of 600 models in the index. The benchmark average is 81.4 and the leader is GPT-5.2 Max at 96.1.

Score
86.5
0–100 scale
Rank
#193
of 600
Percentile
68th
within the index
Benchmark avg
81.4
all models
Leader
96.1
GPT-5.2 Max
Gap to leader
9.6
points

Score distribution

The chart shows the top 10 models on HellaSwag, with Mistral Small 3 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, Mistral Small 3 sits at #193 of 600. The leader, GPT-5.2 Max, scores 96.1, so the gap to the top is 9.6 points. The median model in this index scores 83.6, which puts Mistral Small 3 above the midpoint.

Mistral AI models average 79.8 on this benchmark. Mistral Small 3 is 6.7 points above that provider line, so it is a stronger result than the average Mistral AI model.

Among multimodal models, the average is 86.8. Mistral Small 3 is 0.3 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 86.5 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 $3.90 per million input tokens, Mistral Small 3 is below 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
Yi-Lightning Chat 01.AI 32768 $3.79 75.5
GLM-4.6 Base Zhipu AI 128000 $4.53 78.5
ERNIE 4.0 Pro Baidu 200000 $12.58 77.5
Llama 3 Replicate Replicate 200000 $3.75 75.7
Mistral Small 3 Mistral AI 32768 $3.90 75.3
Qwen3 Chat Alibaba Cloud 128000 $4.75 79.1
Reka Flash Turbo Reka AI 128000 $10.19 75.1

Other benchmarks for Mistral Small 3

BenchmarkScoreRankPercentileRelative
MMLU-Pro 78.1 240 60th
GPQA Diamond 73.8 177 71th
SWE-bench Verified 65.6 202 66th
HumanEval 78.6 275 54th
MATH-500 77.2 274 54th
AIME 2025 70.8 242 60th
LiveCodeBench 65.1 292 51th
IFEval 83.5 232 61th
TruthfulQA 76.3 300 50th
MMMU 72.8 226 62th
Arena Elo 1407.1 190 68th

FAQ

What score does Mistral Small 3 get on HellaSwag?

Mistral Small 3 scores 86.5 on HellaSwag in this index. The benchmark average is 81.4 and the top score is 96.1.

How does Mistral Small 3 rank on HellaSwag?

It ranks #193 of 600 models, in the 68th percentile. The leader is GPT-5.2 Max at 96.1.

Is Mistral Small 3 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 Mistral Small 3 cost?

Mistral Small 3 costs $3.90 per million input tokens and $20.43 per million output tokens.

Related