Commonsense · Mistral AI

Codestral 8B on HellaSwag: score, rank and what it means

Codestral 8B scores 72.0 on HellaSwag, placing it #495 of 600 models in the index. The benchmark average is 81.4 and the leader is GPT-5.2 Max at 96.1.

Score
72.0
0–100 scale
Rank
#495
of 600
Percentile
18th
within the index
Benchmark avg
81.4
all models
Leader
96.1
GPT-5.2 Max
Gap to leader
24.1
points

Score distribution

The chart shows the top 10 models on HellaSwag, with Codestral 8B 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, Codestral 8B sits at #495 of 600. The leader, GPT-5.2 Max, scores 96.1, so the gap to the top is 24.1 points. The median model in this index scores 83.6, which puts Codestral 8B below the midpoint.

Mistral AI models average 79.8 on this benchmark. Codestral 8B is 7.8 points below that provider line, so it is a weaker result than the average Mistral AI model.

Among small open-weight models, the average is 70.2. Codestral 8B is 1.8 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 72.0 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 $1.18 per million input tokens, Codestral 8B 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
Gemma 3 7B Google DeepMind 32768 $0.90 55.9
Llama 3 Hyperbolic 7B Hyperbolic 4096 $0.94 55.6
Llama 3.3 7B Meta AI 8192 $1.18 57.8
Mistral Small 3 7B Mistral AI 4096 $0.89 55.2
Codestral 8B Mistral AI 4096 $1.18 59.0
DeepSeek-V3.2 1.5B DeepSeek 4096 $1.02 56.9
Llama 3 DeepInfra 8B DeepInfra 8192 $1.05 57.4

Other benchmarks for Codestral 8B

BenchmarkScoreRankPercentileRelative
MMLU-Pro 65.7 441 27th
GPQA Diamond 53.3 488 19th
SWE-bench Verified 46.1 451 25th
HumanEval 62.8 459 24th
MATH-500 57.9 492 18th
AIME 2025 49.9 461 23th
LiveCodeBench 49.5 453 25th
IFEval 70.4 451 25th
TruthfulQA 65.4 455 24th
MMMU 55.6 491 18th
Arena Elo 1253.3 486 19th

FAQ

What score does Codestral 8B get on HellaSwag?

Codestral 8B scores 72.0 on HellaSwag in this index. The benchmark average is 81.4 and the top score is 96.1.

How does Codestral 8B rank on HellaSwag?

It ranks #495 of 600 models, in the 18th percentile. The leader is GPT-5.2 Max at 96.1.

Is Codestral 8B 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 Codestral 8B cost?

Codestral 8B costs $1.18 per million input tokens and $5.35 per million output tokens.

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