Safety · Mistral AI

Magistral on TruthfulQA: score, rank and what it means

Magistral scores 82.0 on TruthfulQA, placing it #129 of 600 models in the index. The benchmark average is 73.6 and the leader is GPT-5.1 Max at 91.1.

Score
82.0
0–100 scale
Rank
#129
of 600
Percentile
79th
within the index
Benchmark avg
73.6
all models
Leader
91.1
GPT-5.1 Max
Gap to leader
9.1
points

Score distribution

The chart shows the top 10 models on TruthfulQA, with Magistral highlighted. Longer bars mean higher scores.

GPT-5.1 Max 91.1
Gemini 3 Pro Reasoning 90.3
GPT-5.1 Reasoning 90.0
GPT-5.2 Pro 90.0
GPT-5.2 89.7
Gemini 3 Pro Max 89.6
Grok 4 Reasoning 89.4
Qwen3-Max Max 89.3
GPT-5.1 89.2
GPT-5.1 Turbo 89.2

Top 10 leaderboard

#ModelProviderContextInput / 1MAvg score
1 GPT-5.1 Max OpenAI 2000000 $20.50 87.9
2 Gemini 3 Pro Reasoning Google DeepMind 200000 $19.69 87.5
3 GPT-5.1 Reasoning OpenAI 400000 $20.27 88.3
4 GPT-5.2 Pro OpenAI 2000000 $21.32 89.6
5 GPT-5.2 OpenAI 2000000 $19.71 88.0
6 Gemini 3 Pro Max Google DeepMind 2000000 $20.57 87.9
7 Grok 4 Reasoning xAI 2000000 $19.67 87.8
8 Qwen3-Max Max Alibaba Cloud 400000 $18.53 85.9
9 GPT-5.1 OpenAI 2000000 $19.01 86.0
10 GPT-5.1 Turbo OpenAI 2000000 $19.19 86.1

What this score means

On TruthfulQA, Magistral sits at #129 of 600. The leader, GPT-5.1 Max, scores 91.1, so the gap to the top is 9.1 points. The median model in this index scores 76.3, which puts Magistral above the midpoint.

Mistral AI models average 71.0 on this benchmark. Magistral is 11.0 points above that provider line, so it is a stronger result than the average Mistral AI model.

Among multimodal models, the average is 80.1. Magistral is 1.9 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 82.0 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 $4.75 per million input tokens, Magistral is above the median input price of $4.00 across the 600 models scored on TruthfulQA. The models immediately around it in the ranking are shown below so you can compare score and price together.

ModelProviderContextInput / 1MAvg score
Command A Max Cohere 400000 $14.28 79.9
DeepSeek-R1 Base DeepSeek 400000 $5.05 80.1
DeepSeek-R1 Instruct DeepSeek 1000000 $5.90 83.1
Llama 4 Scout Meta AI 200000 $4.90 79.3
Magistral Mistral AI 200000 $4.75 79.8
Sonar Pro Max Perplexity 128000 $14.01 81.1
GLM-4.6 Base Zhipu AI 128000 $4.53 78.5

Other benchmarks for Magistral

BenchmarkScoreRankPercentileRelative
MMLU-Pro 82.1 120 80th
GPQA Diamond 75.8 126 79th
SWE-bench Verified 66.5 179 70th
HumanEval 85.1 111 82th
MATH-500 85.4 101 83th
AIME 2025 74.2 174 71th
LiveCodeBench 75.3 92 85th
IFEval 86.1 152 75th
HellaSwag 87.9 146 76th
MMMU 77.4 109 82th
Arena Elo 1427.8 125 79th

FAQ

What score does Magistral get on TruthfulQA?

Magistral scores 82.0 on TruthfulQA in this index. The benchmark average is 73.6 and the top score is 91.1.

How does Magistral rank on TruthfulQA?

It ranks #129 of 600 models, in the 79th percentile. The leader is GPT-5.1 Max at 91.1.

Is Magistral good at TruthfulQA?

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 TruthfulQA score calculated?

TruthfulQA is a safety 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 cost?

Magistral costs $4.75 per million input tokens and $21.16 per million output tokens.

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