Coding · Mistral AI

Magistral Instruct on HumanEval: score, rank and what it means

Magistral Instruct scores 80.5 on HumanEval, placing it #222 of 600 models in the index. The benchmark average is 74.0 and the leader is GPT-5.2 Pro at 96.8.

Score
80.5
0–100 scale
Rank
#222
of 600
Percentile
63th
within the index
Benchmark avg
74.0
all models
Leader
96.8
GPT-5.2 Pro
Gap to leader
16.3
points

Score distribution

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

GPT-5.2 Pro 96.8
Gemini 3 Pro Pro 95.0
o4 Max 94.6
Grok 4 Reasoning 93.8
Claude Opus 4.5 93.7
GPT-5.2 Max 93.6
Claude Opus 4.5 Pro 93.4
Grok 4 Max 93.4
GPT-5.2 Turbo 93.2
GPT-5.1 Reasoning 92.9

Top 10 leaderboard

#ModelProviderContextInput / 1MAvg score
1 GPT-5.2 Pro OpenAI 2000000 $21.32 89.6
2 Gemini 3 Pro Pro Google DeepMind 200000 $19.80 87.3
3 o4 Max OpenAI 2000000 $19.51 86.2
4 Grok 4 Reasoning xAI 2000000 $19.67 87.8
5 Claude Opus 4.5 Anthropic 400000 $19.42 87.7
6 GPT-5.2 Max OpenAI 1000000 $21.39 89.2
7 Claude Opus 4.5 Pro Anthropic 200000 $20.98 89.1
8 Grok 4 Max xAI 2000000 $19.70 86.6
9 GPT-5.2 Turbo OpenAI 1000000 $20.73 87.4
10 GPT-5.1 Reasoning OpenAI 400000 $20.27 88.3

What this score means

On HumanEval, Magistral Instruct sits at #222 of 600. The leader, GPT-5.2 Pro, scores 96.8, so the gap to the top is 16.3 points. The median model in this index scores 77.4, which puts Magistral Instruct above the midpoint.

Mistral AI models average 71.6 on this benchmark. Magistral Instruct is 8.9 points above that provider line, so it is a stronger result than the average Mistral AI model.

Among multimodal models, the average is 82.2. Magistral Instruct is 1.7 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 80.5 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 $4.48 per million input tokens, Magistral Instruct is above the median input price of $4.00 across the 600 models scored on HumanEval. The models immediately around it in the ranking are shown below so you can compare score and price together.

ModelProviderContextInput / 1MAvg score
Codestral Mistral AI 65536 $4.19 77.6
GPT-5.1 Mini OpenAI 128000 $12.19 77.7
Gemma 3 Instruct Google DeepMind 128000 $3.72 74.1
Llama 3 Replicate Instruct Replicate 128000 $3.71 75.1
Magistral Instruct Mistral AI 65536 $4.48 78.4
MiniMax-Text MiniMax 32768 $4.44 77.0
Qwen3 Base Alibaba Cloud 65536 $4.33 77.4

Other benchmarks for Magistral Instruct

BenchmarkScoreRankPercentileRelative
MMLU-Pro 80.8 156 74th
GPQA Diamond 73.8 176 71th
SWE-bench Verified 69.8 115 81th
MATH-500 81.7 172 71th
AIME 2025 71.7 224 63th
LiveCodeBench 73.6 118 80th
IFEval 86.7 141 77th
TruthfulQA 78.3 246 59th
HellaSwag 89.0 111 82th
MMMU 76.4 129 79th
Arena Elo 1402.2 203 66th

FAQ

What score does Magistral Instruct get on HumanEval?

Magistral Instruct scores 80.5 on HumanEval in this index. The benchmark average is 74.0 and the top score is 96.8.

How does Magistral Instruct rank on HumanEval?

It ranks #222 of 600 models, in the 63rd percentile. The leader is GPT-5.2 Pro at 96.8.

Is Magistral Instruct good at HumanEval?

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 HumanEval score calculated?

HumanEval 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 Instruct cost?

Magistral Instruct costs $4.48 per million input tokens and $22.65 per million output tokens.

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