Coding · Mistral AI

Magistral 8B on SWE-bench Verified: score, rank and what it means

Magistral 8B scores 47.8 on SWE-bench Verified, placing it #438 of 600 models in the index. The benchmark average is 57.5 and the leader is GPT-5.2 Pro at 81.7.

Score
47.8
0–100 scale
Rank
#438
of 600
Percentile
27th
within the index
Benchmark avg
57.5
all models
Leader
81.7
GPT-5.2 Pro
Gap to leader
33.9
points

Score distribution

The chart shows the top 10 models on SWE-bench Verified, with Magistral 8B 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 8B sits at #438 of 600. The leader, GPT-5.2 Pro, scores 81.7, so the gap to the top is 33.9 points. The median model in this index scores 61.0, which puts Magistral 8B below the midpoint.

Mistral AI models average 54.7 on this benchmark. Magistral 8B is 6.9 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 8B is 8.8 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 47.8 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 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
GLM-4.5 8B Zhipu AI 32768 $1.46 61.3
Sonar Nano Perplexity 4096 $4.37 61.9
Llama 4 Scout 8B Meta AI 8192 $1.46 61.2
GPT-NeoX Base EleutherAI 16384 $1.22 59.7
Magistral 8B Mistral AI 4096 $1.33 60.0
Nova Lite Nano Amazon 8192 $3.29 59.5
GPT-NeoX Chat EleutherAI 16384 $1.49 60.1

Other benchmarks for Magistral 8B

BenchmarkScoreRankPercentileRelative
MMLU-Pro 64.8 457 24th
GPQA Diamond 53.1 490 18th
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
TruthfulQA 66.2 441 27th
HellaSwag 74.8 445 26th
MMMU 58.7 447 26th
Arena Elo 1282.0 440 27th

FAQ

What score does Magistral 8B get on SWE-bench Verified?

Magistral 8B scores 47.8 on SWE-bench Verified in this index. The benchmark average is 57.5 and the top score is 81.7.

How does Magistral 8B rank on SWE-bench Verified?

It ranks #438 of 600 models, in the 27th percentile. The leader is GPT-5.2 Pro at 81.7.

Is Magistral 8B 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 8B cost?

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

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