Coding · Mistral AI

Magistral 7B on SWE-bench Verified: score, rank and what it means

Magistral 7B scores 46.6 on SWE-bench Verified, placing it #448 of 600 models in the index. The benchmark average is 57.5 and the leader is GPT-5.2 Pro at 81.7.

Score
46.6
0–100 scale
Rank
#448
of 600
Percentile
25th
within the index
Benchmark avg
57.5
all models
Leader
81.7
GPT-5.2 Pro
Gap to leader
35.1
points

Score distribution

The chart shows the top 10 models on SWE-bench Verified, with Magistral 7B highlighted. Longer bars mean higher scores.

GPT-5.2 Pro 81.7
Claude Opus 4.5 Pro 81.1
GPT-5.2 Max 80.5
Claude Sonnet 4.5 Max 80.2
GPT-5.2 80.2
GPT-5.1 Pro 80.1
o4 Max 79.8
Claude Sonnet 4.5 Reasoning 79.6
Claude Opus 4.5 Max 79.5
Claude Opus 4.5 Reasoning 79.5

Top 10 leaderboard

#ModelProviderContextInput / 1MAvg score
1 GPT-5.2 Pro OpenAI 2000000 $21.32 89.6
2 Claude Opus 4.5 Pro Anthropic 200000 $20.98 89.1
3 GPT-5.2 Max OpenAI 1000000 $21.39 89.2
4 Claude Sonnet 4.5 Max Anthropic 1000000 $19.90 87.2
5 GPT-5.2 OpenAI 2000000 $19.71 88.0
6 GPT-5.1 Pro OpenAI 200000 $19.77 87.8
7 o4 Max OpenAI 2000000 $19.51 86.2
8 Claude Sonnet 4.5 Reasoning Anthropic 400000 $19.48 87.7
9 Claude Opus 4.5 Max Anthropic 1000000 $20.90 87.8
10 Claude Opus 4.5 Reasoning Anthropic 2000000 $20.91 88.2

What this score means

On SWE-bench Verified, Magistral 7B sits at #448 of 600. The leader, GPT-5.2 Pro, scores 81.7, so the gap to the top is 35.1 points. The median model in this index scores 61.0, which puts Magistral 7B below the midpoint.

Mistral AI models average 54.7 on this benchmark. Magistral 7B is 8.1 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 39.0. Magistral 7B is 7.6 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 46.6 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 $1.22 per million input tokens, Magistral 7B is below the median input price of $4.00 across the 600 models scored on SWE-bench Verified. The models immediately around it in the ranking are shown below so you can compare score and price together.

ModelProviderContextInput / 1MAvg score
SmolLM3 Hugging Face 8192 $1.71 63.1
Pythia Instruct EleutherAI 8192 $1.41 60.8
ERNIE 4.0 Nano Baidu 32768 $4.68 62.1
Llama 3.3 Groq 8B Groq 16384 $1.17 59.5
Magistral 7B Mistral AI 32768 $1.22 58.9
GPT-NeoX EleutherAI 16384 $1.57 61.7
QwQ 7B Alibaba Cloud 8192 $1.11 58.1

Other benchmarks for Magistral 7B

BenchmarkScoreRankPercentileRelative
MMLU-Pro 64.7 458 24th
GPQA Diamond 57.6 432 28th
HumanEval 61.1 486 19th
MATH-500 58.0 490 18th
AIME 2025 46.0 489 19th
LiveCodeBench 51.3 436 27th
IFEval 69.6 467 22th
TruthfulQA 62.0 504 16th
HellaSwag 73.1 478 20th
MMMU 57.8 459 24th
Arena Elo 1263.4 469 22th

FAQ

What score does Magistral 7B get on SWE-bench Verified?

Magistral 7B scores 46.6 on SWE-bench Verified in this index. The benchmark average is 57.5 and the top score is 81.7.

How does Magistral 7B rank on SWE-bench Verified?

It ranks #448 of 600 models, in the 25th percentile. The leader is GPT-5.2 Pro at 81.7.

Is Magistral 7B good at SWE-bench Verified?

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 SWE-bench Verified score calculated?

SWE-bench Verified 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 7B cost?

Magistral 7B costs $1.22 per million input tokens and $5.57 per million output tokens.

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