Commonsense · Mistral AI

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

Magistral 8B scores 74.8 on HellaSwag, placing it #445 of 600 models in the index. The benchmark average is 81.4 and the leader is GPT-5.2 Max at 96.1.

Score
74.8
0–100 scale
Rank
#445
of 600
Percentile
26th
within the index
Benchmark avg
81.4
all models
Leader
96.1
GPT-5.2 Max
Gap to leader
21.3
points

Score distribution

The chart shows the top 10 models on HellaSwag, with Magistral 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, Magistral 8B sits at #445 of 600. The leader, GPT-5.2 Max, scores 96.1, so the gap to the top is 21.3 points. The median model in this index scores 83.6, which puts Magistral 8B below the midpoint.

Mistral AI models average 79.8 on this benchmark. Magistral 8B is 5.0 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. Magistral 8B is 4.6 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 74.8 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 $1.33 per million input tokens, Magistral 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
Sonar Nano Perplexity 4096 $4.37 61.9
GPT-NeoX EleutherAI 16384 $1.57 61.7
Hunyuan-Large 8B Tencent 4096 $1.29 58.7
ERNIE 4.0 Nano Baidu 32768 $4.68 62.1
Magistral 8B Mistral AI 4096 $1.33 60.0
Auto Mini OpenRouter 4096 $4.24 61.6
Llama 4 Scout 7B Meta AI 32768 $1.30 60.0

Other benchmarks for Magistral 8B

BenchmarkScoreRankPercentileRelative
MMLU-Pro 64.8 457 24th
GPQA Diamond 53.1 490 18th
SWE-bench Verified 47.8 438 27th
HumanEval 63.2 456 24th
MATH-500 59.6 472 21th
AIME 2025 48.4 468 22th
LiveCodeBench 52.4 422 30th
IFEval 70.5 450 25th
TruthfulQA 66.2 441 27th
MMMU 58.7 447 26th
Arena Elo 1282.0 440 27th

FAQ

What score does Magistral 8B get on HellaSwag?

Magistral 8B scores 74.8 on HellaSwag in this index. The benchmark average is 81.4 and the top score is 96.1.

How does Magistral 8B rank on HellaSwag?

It ranks #445 of 600 models, in the 26th percentile. The leader is GPT-5.2 Max at 96.1.

Is Magistral 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 Magistral 8B cost?

Magistral 8B costs $1.33 per million input tokens and $6.03 per million output tokens.

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