Model comparison

GLM-5V-Turbo vs Magistral Medium

GLM-5V-Turbo is the stronger model overall, scoring 43.1 to 34.8 on the Noometry Index.

Last verified . 16 shared benchmarks.

GLM-5V-Turbo Z.ai (Zhipu)

43.1

Rank #86 Confirmed

Magistral Medium Mistral AI

34.8

Rank #224 Confirmed

Summary

  • They share 16 benchmarks with published results for both. GLM-5V-Turbo scores higher in 8 categories and Magistral Medium in 0 categories; 8 gaps are clear of the uncertainty.
  • The widest gap is in reasoning, where GLM-5V-Turbo leads 28.5 to 8.7.
  • GLM-5V-Turbo is cheaper at $1.20 / $4 per million input/output tokens, against $2 / $5 for Magistral Medium.
  • GLM-5V-Turbo accepts more context: 200K tokens versus 128K.
  • Magistral Medium has downloadable open weights; the other is API-only.

Side by side

GLM-5V-Turbo and Magistral Medium specifications
GLM-5V-TurboMagistral Medium
ProviderZ.ai (Zhipu)Mistral AI
Noometry Index43.134.8
Released2026-04-012025-03-17
WeightsProprietaryOpen
Context window200K128K
Max output131K16K
Input $ / M tokens$1.20$2
Output $ / M tokens$4$5
Results tracked1922

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Category by category

Coding GLM-5V-Turbo leads

GLM-5V-Turbo: 41.8 (#105), Magistral Medium: 38.6 (#161)

Coding benchmarks
BenchmarkGLM-5V-TurboMagistral Medium
LMArena Coding14671319
LMArena WebDev1400—
SciCode—39.2%

Reasoning GLM-5V-Turbo leads

GLM-5V-Turbo: 28.5 (#87), Magistral Medium: 8.7 (#342)

Reasoning benchmarks
BenchmarkGLM-5V-TurboMagistral Medium
LMArena Hard Prompts14431267
ARC-AGI-2—0%
Kagi LLM Benchmark—16.2%
ARC-AGI-1—6.1%
CritPt—0.3%

Math GLM-5V-Turbo leads

GLM-5V-Turbo: 36.6 (#109), Magistral Medium: 32.4 (#187)

Math benchmarks
BenchmarkGLM-5V-TurboMagistral Medium
LMArena Math14401249

Knowledge GLM-5V-Turbo leads

GLM-5V-Turbo: 39.9 (#113), Magistral Medium: 32.9 (#199)

Knowledge benchmarks
BenchmarkGLM-5V-TurboMagistral Medium
LMArena Expert14511222

Multimodal Not comparable

GLM-5V-Turbo: 40.1 (#41), Magistral Medium: —

Multimodal benchmarks
BenchmarkGLM-5V-TurboMagistral Medium
LMArena Vision1264—
LMArena Document1416—

Multilingual GLM-5V-Turbo leads

GLM-5V-Turbo: 53.2 (#69), Magistral Medium: 39.8 (#219)

Multilingual benchmarks
BenchmarkGLM-5V-TurboMagistral Medium
LMArena Non-English14201232
LMArena Chinese14881225
LMArena French14431268
LMArena German14221248
LMArena Korean13991125
LMArena Russian14321224
LMArena Spanish14461269
LMArena Japanese—1176

Instruction Following GLM-5V-Turbo leads

GLM-5V-Turbo: 75.1 (#75), Magistral Medium: 66.2 (#207)

Instruction Following benchmarks
BenchmarkGLM-5V-TurboMagistral Medium
LMArena Instruction Following14221254

Long Context GLM-5V-Turbo leads

GLM-5V-Turbo: 44.0 (#76), Magistral Medium: 39.3 (#178)

Long Context benchmarks
BenchmarkGLM-5V-TurboMagistral Medium
LMArena Longer Query14391295

Writing & Preference GLM-5V-Turbo leads

GLM-5V-Turbo: 62.6 (#69), Magistral Medium: 46.5 (#214)

Writing & Preference benchmarks
BenchmarkGLM-5V-TurboMagistral Medium
LMArena Text14371255
LMArena Creative Writing14141245
LMArena Multi-Turn14321275

Frequently asked questions

Is GLM-5V-Turbo better than Magistral Medium?

GLM-5V-Turbo is the stronger model overall, scoring 43.1 to 34.8 on the Noometry Index.

Which is cheaper, GLM-5V-Turbo or Magistral Medium?

GLM-5V-Turbo is cheaper. It lists at $1.20 per million input tokens and $4 per million output tokens; Magistral Medium lists at $2 and $5.

Is GLM-5V-Turbo or Magistral Medium better for coding?

GLM-5V-Turbo scores higher on coding benchmarks: 41.8 versus 38.6 in the Noometry coding category.

Which has the bigger context window?

GLM-5V-Turbo does, with 200K tokens against 128K.

How many benchmarks do GLM-5V-Turbo and Magistral Medium share?

16 benchmarks have published results for both models. GLM-5V-Turbo has 19 scored results on Noometry and Magistral Medium has 22.

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