Coding · Mistral AI

Magistral on LiveCodeBench: score, rank and what it means

Magistral scores 75.3 on LiveCodeBench, placing it #92 of 600 models in the index. The benchmark average is 61.0 and the leader is Claude Sonnet 4.5 Reasoning at 85.1.

Score
75.3
0–100 scale
Rank
#92
of 600
Percentile
85th
within the index
Benchmark avg
61.0
all models
Leader
85.1
Claude Sonnet 4.5 Reasoning
Gap to leader
9.8
points

Score distribution

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

Claude Sonnet 4.5 Reasoning 85.1
Grok 4 Reasoning 85.1
Claude Opus 4.5 85.0
GPT-5.2 Max 84.8
Grok 4 Turbo 84.7
GPT-5.1 Turbo 84.6
GPT-5.2 Pro 84.6
GPT-5.2 Reasoning 84.6
Claude Opus 4.5 Pro 84.1
Gemini 3 Pro Max 83.6

Top 10 leaderboard

#ModelProviderContextInput / 1MAvg score
1 Claude Sonnet 4.5 Reasoning Anthropic 400000 $19.48 87.7
2 Grok 4 Reasoning xAI 2000000 $19.67 87.8
3 Claude Opus 4.5 Anthropic 400000 $19.42 87.7
4 GPT-5.2 Max OpenAI 1000000 $21.39 89.2
5 Grok 4 Turbo xAI 1000000 $19.21 86.7
6 GPT-5.1 Turbo OpenAI 2000000 $19.19 86.1
7 GPT-5.2 Pro OpenAI 2000000 $21.32 89.6
8 GPT-5.2 Reasoning OpenAI 1000000 $20.98 87.5
9 Claude Opus 4.5 Pro Anthropic 200000 $20.98 89.1
10 Gemini 3 Pro Max Google DeepMind 2000000 $20.57 87.9

What this score means

On LiveCodeBench, Magistral sits at #92 of 600. The leader, Claude Sonnet 4.5 Reasoning, scores 85.1, so the gap to the top is 9.8 points. The median model in this index scores 64.7, which puts Magistral above the midpoint.

Mistral AI models average 58.1 on this benchmark. Magistral is 17.2 points above that provider line, so it is a stronger result than the average Mistral AI model.

Among multimodal models, the average is 70.3. Magistral is 5.0 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 75.3 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 LiveCodeBench. The models immediately around it in the ranking are shown below so you can compare score and price together.

ModelProviderContextInput / 1MAvg score
Sonar Pro Max Perplexity 128000 $14.01 81.1
GPT-5.2 Mini OpenAI 200000 $13.34 80.4
Sonar Pro Reasoning Perplexity 128000 $13.94 80.5
Claude 3.7 Sonnet Turbo Anthropic 200000 $15.56 82.3
Magistral Mistral AI 200000 $4.75 79.8
DeepSeek-V3.2 Instruct DeepSeek 128000 $5.91 83.7
Mistral Large 3 Instruct Mistral AI 400000 $5.31 81.1

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
IFEval 86.1 152 75th
TruthfulQA 82.0 129 79th
HellaSwag 87.9 146 76th
MMMU 77.4 109 82th
Arena Elo 1427.8 125 79th

FAQ

What score does Magistral get on LiveCodeBench?

Magistral scores 75.3 on LiveCodeBench in this index. The benchmark average is 61.0 and the top score is 85.1.

How does Magistral rank on LiveCodeBench?

It ranks #92 of 600 models, in the 85th percentile. The leader is Claude Sonnet 4.5 Reasoning at 85.1.

Is Magistral good at LiveCodeBench?

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 LiveCodeBench score calculated?

LiveCodeBench is a coding 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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