Coding · Mistral AI

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

Magistral Base scores 78.5 on HumanEval, placing it #281 of 600 models in the index. The benchmark average is 74.0 and the leader is GPT-5.2 Pro at 96.8.

Score
78.5
0–100 scale
Rank
#281
of 600
Percentile
53th
within the index
Benchmark avg
74.0
all models
Leader
96.8
GPT-5.2 Pro
Gap to leader
18.3
points

Score distribution

The chart shows the top 10 models on HumanEval, with Magistral Base 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 Base sits at #281 of 600. The leader, GPT-5.2 Pro, scores 96.8, so the gap to the top is 18.3 points. The median model in this index scores 77.4, which puts Magistral Base above the midpoint.

Mistral AI models average 71.6 on this benchmark. Magistral Base is 6.9 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 Base is 3.7 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 78.5 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 $3.86 per million input tokens, Magistral Base is below 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
Nemotron 4 Chat NVIDIA 65536 $3.99 75.0
Reka Flash Pro Reka AI 200000 $10.82 75.2
Fusion Pro OpenRouter 65536 $8.69 72.2
Llama 3.3 Groq Groq 32768 $3.98 76.8
Magistral Base Mistral AI 65536 $3.86 75.6
Qwen3-Coder Base Alibaba Cloud 200000 $3.99 76.6
DeepSeek-Coder Base DeepSeek 32768 $3.53 74.1

Other benchmarks for Magistral Base

BenchmarkScoreRankPercentileRelative
MMLU-Pro 80.7 159 74th
GPQA Diamond 73.5 185 69th
SWE-bench Verified 65.6 201 67th
MATH-500 76.3 293 51th
AIME 2025 69.1 279 54th
LiveCodeBench 69.7 198 67th
IFEval 83.5 230 62th
TruthfulQA 77.6 266 56th
HellaSwag 85.0 245 59th
MMMU 72.2 236 61th
Arena Elo 1378.9 276 54th

FAQ

What score does Magistral Base get on HumanEval?

Magistral Base scores 78.5 on HumanEval in this index. The benchmark average is 74.0 and the top score is 96.8.

How does Magistral Base rank on HumanEval?

It ranks #281 of 600 models, in the 53rd percentile. The leader is GPT-5.2 Pro at 96.8.

Is Magistral Base 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 Base cost?

Magistral Base costs $3.86 per million input tokens and $17.23 per million output tokens.

Related