Commonsense · Mistral AI

Magistral Chat on HellaSwag: score, rank and what it means

Magistral Chat scores 86.1 on HellaSwag, placing it #213 of 600 models in the index. The benchmark average is 81.4 and the leader is GPT-5.2 Max at 96.1.

Score
86.1
0–100 scale
Rank
#213
of 600
Percentile
65th
within the index
Benchmark avg
81.4
all models
Leader
96.1
GPT-5.2 Max
Gap to leader
10.0
points

Score distribution

The chart shows the top 10 models on HellaSwag, with Magistral Chat 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 Chat sits at #213 of 600. The leader, GPT-5.2 Max, scores 96.1, so the gap to the top is 10.0 points. The median model in this index scores 83.6, which puts Magistral Chat above the midpoint.

Mistral AI models average 79.8 on this benchmark. Magistral Chat is 6.3 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. Magistral Chat is 0.7 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 86.1 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 $4.33 per million input tokens, Magistral Chat 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
MiniMax-Text Base MiniMax 128000 $3.66 74.9
Sonar Reasoning Perplexity 200000 $11.48 76.2
Hunyuan-Turbo Max Tencent 128000 $12.40 78.3
Llama 3 DeepInfra Instruct DeepInfra 65536 $3.84 75.5
Magistral Chat Mistral AI 128000 $4.33 76.8
Nemotron 4 NVIDIA 65536 $4.18 76.6
Nova Pro Turbo Amazon 128000 $13.18 78.4

Other benchmarks for Magistral Chat

BenchmarkScoreRankPercentileRelative
MMLU-Pro 77.9 246 59th
GPQA Diamond 72.3 214 64th
SWE-bench Verified 64.5 222 63th
HumanEval 81.3 207 66th
MATH-500 83.8 128 79th
AIME 2025 73.7 192 68th
LiveCodeBench 67.5 238 60th
IFEval 83.5 231 62th
TruthfulQA 82.3 124 79th
MMMU 72.0 246 59th
Arena Elo 1397.1 217 64th

FAQ

What score does Magistral Chat get on HellaSwag?

Magistral Chat scores 86.1 on HellaSwag in this index. The benchmark average is 81.4 and the top score is 96.1.

How does Magistral Chat rank on HellaSwag?

It ranks #213 of 600 models, in the 65th percentile. The leader is GPT-5.2 Max at 96.1.

Is Magistral Chat 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 Magistral Chat cost?

Magistral Chat costs $4.33 per million input tokens and $16.06 per million output tokens.

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