Safety · Mistral AI

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

Magistral 8B scores 66.2 on TruthfulQA, placing it #441 of 600 models in the index. The benchmark average is 73.6 and the leader is GPT-5.1 Max at 91.1.

Score
66.2
0–100 scale
Rank
#441
of 600
Percentile
27th
within the index
Benchmark avg
73.6
all models
Leader
91.1
GPT-5.1 Max
Gap to leader
24.9
points

Score distribution

The chart shows the top 10 models on TruthfulQA, with Magistral 8B 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 8B sits at #441 of 600. The leader, GPT-5.1 Max, scores 91.1, so the gap to the top is 24.9 points. The median model in this index scores 76.3, which puts Magistral 8B below the midpoint.

Mistral AI models average 71.0 on this benchmark. Magistral 8B is 4.8 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 59.9. Magistral 8B is 6.3 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 66.2 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 TruthfulQA. The models immediately around it in the ranking are shown below so you can compare score and price together.

ModelProviderContextInput / 1MAvg score
Nova Lite Nano Amazon 8192 $3.29 59.5
SmolLM3 Instruct Hugging Face 8192 $1.69 63.6
SmolLM3 Chat Hugging Face 16384 $1.61 62.1
Zephyr Instruct Hugging Face 4096 $1.66 62.4
Magistral 8B Mistral AI 4096 $1.33 60.0
Pythia Chat EleutherAI 4096 $1.31 59.1
MiniMax-M2 7B MiniMax 8192 $1.44 60.8

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
HellaSwag 74.8 445 26th
MMMU 58.7 447 26th
Arena Elo 1282.0 440 27th

FAQ

What score does Magistral 8B get on TruthfulQA?

Magistral 8B scores 66.2 on TruthfulQA in this index. The benchmark average is 73.6 and the top score is 91.1.

How does Magistral 8B rank on TruthfulQA?

It ranks #441 of 600 models, in the 27th percentile. The leader is GPT-5.1 Max at 91.1.

Is Magistral 8B good at TruthfulQA?

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 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 8B cost?

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

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