Commonsense · Mistral AI

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

Mistral Small 3 Base scores 83.4 on HellaSwag, placing it #309 of 600 models in the index. The benchmark average is 81.4 and the leader is GPT-5.2 Max at 96.1.

Score
83.4
0–100 scale
Rank
#309
of 600
Percentile
49th
within the index
Benchmark avg
81.4
all models
Leader
96.1
GPT-5.2 Max
Gap to leader
12.7
points

Score distribution

The chart shows the top 10 models on HellaSwag, with Mistral Small 3 Base 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 Base sits at #309 of 600. The leader, GPT-5.2 Max, scores 96.1, so the gap to the top is 12.7 points. The median model in this index scores 83.6, which puts Mistral Small 3 Base below the midpoint.

Mistral AI models average 79.8 on this benchmark. Mistral Small 3 Base is 3.6 points above that provider line, so it is a stronger result than the average Mistral AI model.

Among open-weight models, the average is 80.2. Mistral Small 3 Base is 3.2 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 83.4 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 $3.19 per million input tokens, Mistral Small 3 Base 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
Llama 3 Modal Instruct Modal 128000 $3.84 75.2
Llama 3 Novita Chat Novita AI 65536 $3.50 74.2
Seed-OSS ByteDance 32768 $3.74 75.3
Gemini 3 Flash Nano Google DeepMind 32768 $7.56 69.4
Mistral Small 3 Base Mistral AI 16384 $3.19 72.7
Phi-4 Instruct Microsoft 128000 $3.79 75.3
Codestral Base Mistral AI 8192 $3.31 73.1

Other benchmarks for Mistral Small 3 Base

BenchmarkScoreRankPercentileRelative
MMLU-Pro 77.5 262 56th
GPQA Diamond 70.6 246 59th
SWE-bench Verified 59.4 336 44th
HumanEval 77.5 298 50th
MATH-500 73.1 357 41th
AIME 2025 69.7 264 56th
LiveCodeBench 63.7 328 45th
IFEval 80.0 332 45th
TruthfulQA 76.7 288 52th
MMMU 68.5 335 44th
Arena Elo 1377.0 284 53th

FAQ

What score does Mistral Small 3 Base get on HellaSwag?

Mistral Small 3 Base scores 83.4 on HellaSwag in this index. The benchmark average is 81.4 and the top score is 96.1.

How does Mistral Small 3 Base rank on HellaSwag?

It ranks #309 of 600 models, in the 49th percentile. The leader is GPT-5.2 Max at 96.1.

Is Mistral Small 3 Base 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 Mistral Small 3 Base cost?

Mistral Small 3 Base costs $3.19 per million input tokens and $11.34 per million output tokens.

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