Model comparison

GPT-5 Pro vs Magistral Medium

GPT-5 Pro is the stronger model overall, scoring 46.4 to 35.2 on the Noometry Index. Magistral Medium costs 15× less per token, which makes it the better buy when GPT-5 Pro's lead doesn't matter for your workload.

Last verified . 3 shared benchmarks.

GPT-5 Pro OpenAI

46.4

Rank #64 Confirmed

Magistral Medium Mistral AI

35.2

Rank #227 Confirmed

Summary

  • They share 3 benchmarks with published results for both. GPT-5 Pro scores higher in 4 categories and Magistral Medium in 0 categories; 4 gaps are clear of the uncertainty.
  • The widest gap is in reasoning, where GPT-5 Pro leads 38.9 to 8.6.
  • The biggest single-benchmark swing is ARC-AGI-1: 70.2% for GPT-5 Pro and 6.1% for Magistral Medium.
  • Magistral Medium is cheaper at $2 / $5 per million input/output tokens, against $15 / $120 for GPT-5 Pro.
  • GPT-5 Pro accepts more context: 400K tokens versus 262K.
  • Magistral Medium has downloadable open weights; the other is API-only.

Side by side

GPT-5 Pro and Magistral Medium specifications
GPT-5 ProMagistral Medium
ProviderOpenAIMistral AI
Noometry Index46.435.2
Released2025-10-062025-03-17
WeightsProprietaryOpen
Context window400K262K
Max output272K16K
Input $ / M tokens$15$2
Output $ / M tokens$120$5
Results tracked1222

Sponsored placements are available on pages like this one. Advertise on Noometry

Category by category

Coding GPT-5 Pro leads

GPT-5 Pro: 44.0 (#80), Magistral Medium: 39.1 (#161)

Coding benchmarks
BenchmarkGPT-5 ProMagistral Medium
SciCode—39.2%
WeirdML60.4%—
LMArena Coding—1319
AlgoTune1.31—

Reasoning GPT-5 Pro leads

GPT-5 Pro: 38.9 (#62), Magistral Medium: 8.6 (#348)

Reasoning benchmarks
BenchmarkGPT-5 ProMagistral Medium
ARC-AGI-218.3%0%
Kagi LLM Benchmark76.8%16.2%
ARC-AGI-170.2%6.1%
SimpleBench61.6%—
CritPt—0.3%
EnigmaEval18.8%—
LMArena Hard Prompts—1267
Epoch Capabilities Index150.28—

Math GPT-5 Pro leads

GPT-5 Pro: 48.5 (#63), Magistral Medium: 35.1 (#189)

Math benchmarks
BenchmarkGPT-5 ProMagistral Medium
FrontierMath (Tiers 1-3)55.8%—
FrontierMath Tier 419.5%—
LMArena Math—1250
FrontierMath Tier 4 (v1)14.6%—

Knowledge GPT-5 Pro leads

GPT-5 Pro: 56.7 (#42), Magistral Medium: 33.5 (#202)

Knowledge benchmarks
BenchmarkGPT-5 ProMagistral Medium
Humanity's Last Exam31.6%—
LMArena Expert—1223

Multilingual Not comparable

GPT-5 Pro: —, Magistral Medium: 39.6 (#224)

Multilingual benchmarks
BenchmarkGPT-5 ProMagistral Medium
LMArena Non-English—1232
LMArena Chinese—1227
LMArena French—1267
LMArena German—1248
LMArena Japanese—1175
LMArena Korean—1125
LMArena Russian—1224
LMArena Spanish—1271

Instruction Following Not comparable

GPT-5 Pro: —, Magistral Medium: 66.0 (#211)

Instruction Following benchmarks
BenchmarkGPT-5 ProMagistral Medium
LMArena Instruction Following—1254

Long Context Not comparable

GPT-5 Pro: —, Magistral Medium: 39.3 (#183)

Long Context benchmarks
BenchmarkGPT-5 ProMagistral Medium
LMArena Longer Query—1295

Writing & Preference Not comparable

GPT-5 Pro: —, Magistral Medium: 46.3 (#219)

Writing & Preference benchmarks
BenchmarkGPT-5 ProMagistral Medium
LMArena Text—1255
LMArena Creative Writing—1245
LMArena Multi-Turn—1275

Frequently asked questions

Is GPT-5 Pro better than Magistral Medium?

GPT-5 Pro is the stronger model overall, scoring 46.4 to 35.2 on the Noometry Index. Magistral Medium costs 15× less per token, which makes it the better buy when GPT-5 Pro's lead doesn't matter for your workload.

Which is cheaper, GPT-5 Pro or Magistral Medium?

Magistral Medium is cheaper. It lists at $2 per million input tokens and $5 per million output tokens; GPT-5 Pro lists at $15 and $120.

Is GPT-5 Pro or Magistral Medium better for coding?

GPT-5 Pro scores higher on coding benchmarks: 44.0 versus 39.1 in the Noometry coding category.

Which has the bigger context window?

GPT-5 Pro does, with 400K tokens against 262K.

How many benchmarks do GPT-5 Pro and Magistral Medium share?

3 benchmarks have published results for both models. GPT-5 Pro has 12 scored results on Noometry and Magistral Medium has 22.

Related comparisons

Go deeper