Noometry

Model comparison

GLM-5V-Turbo vs Mistral Medium 3.5

GLM-5V-Turbo is the stronger model overall, scoring 43.8 to 40.2 on the Noometry Index.

Last verified . 18 shared benchmarks.

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

43.8

Rank #84 Confirmed

Mistral Medium 3.5 Mistral AI

40.2

Rank #152 Confirmed

Summary

  • They share 18 benchmarks with published results for both. GLM-5V-Turbo scores higher in 9 categories and Mistral Medium 3.5 in 0 categories; 5 gaps are clear of the uncertainty.
  • The widest gap is in reasoning, where GLM-5V-Turbo leads 29.7 to 17.3.
  • GLM-5V-Turbo is cheaper at $1.20 / $4 per million input/output tokens, against $1.50 / $7.50 for Mistral Medium 3.5.
  • Mistral Medium 3.5 accepts more context: 262K tokens versus 200K.
  • Mistral Medium 3.5 has downloadable open weights; the other is API-only.

Side by side

GLM-5V-TurboMistral Medium 3.5
ProviderZ.ai (Zhipu)Mistral AI
Noometry Index43.840.2
Released2026-04-01—
WeightsProprietaryOpen
Context window200K262K
Max output131K210K
Input $ / M tokens$1.20$1.50
Output $ / M tokens$4$7.50
Results tracked1922

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Category by category

Coding GLM-5V-Turbo leads

GLM-5V-Turbo: 42.1 (#111), Mistral Medium 3.5: 36.0 (#213)

BenchmarkGLM-5V-TurboMistral Medium 3.5
LMArena WebDev14011264
LMArena Coding14661461

Reasoning GLM-5V-Turbo leads

GLM-5V-Turbo: 29.7 (#89), Mistral Medium 3.5: 17.3 (#295)

BenchmarkGLM-5V-TurboMistral Medium 3.5
LMArena Hard Prompts14431436
Kagi LLM Benchmark—41.4%
NYT Connections (extended)—12.9%
Epoch Capabilities Index—141.35

Math Too close to call

GLM-5V-Turbo: 39.4 (#106), Mistral Medium 3.5: 39.1 (#113)

BenchmarkGLM-5V-TurboMistral Medium 3.5
LMArena Math14411431

Knowledge Too close to call

GLM-5V-Turbo: 40.6 (#117), Mistral Medium 3.5: 40.0 (#126)

BenchmarkGLM-5V-TurboMistral Medium 3.5
LMArena Expert14521432

Multimodal GLM-5V-Turbo leads

GLM-5V-Turbo: 40.9 (#42), Mistral Medium 3.5: 38.3 (#65)

BenchmarkGLM-5V-TurboMistral Medium 3.5
LMArena Vision12641223
LMArena Document1416—

Multilingual GLM-5V-Turbo leads

GLM-5V-Turbo: 53.0 (#73), Mistral Medium 3.5: 51.9 (#100)

BenchmarkGLM-5V-TurboMistral Medium 3.5
LMArena Non-English14201404
LMArena Chinese14881442
LMArena French14441448
LMArena German14231451
LMArena Korean13961385
LMArena Russian14311395
LMArena Spanish14501409

Instruction Following Too close to call

GLM-5V-Turbo: 75.0 (#80), Mistral Medium 3.5: 74.6 (#90)

BenchmarkGLM-5V-TurboMistral Medium 3.5
LMArena Instruction Following14231415

Long Context Too close to call

GLM-5V-Turbo: 44.0 (#80), Mistral Medium 3.5: 43.2 (#103)

BenchmarkGLM-5V-TurboMistral Medium 3.5
LMArena Longer Query14381415

Writing & Preference GLM-5V-Turbo leads

GLM-5V-Turbo: 62.5 (#73), Mistral Medium 3.5: 58.5 (#117)

BenchmarkGLM-5V-TurboMistral Medium 3.5
LMArena Text14371421
LMArena Creative Writing14161374
LMArena Multi-Turn14321423
EQ-Bench 4—993

Frequently asked questions

Is GLM-5V-Turbo better than Mistral Medium 3.5?

GLM-5V-Turbo is the stronger model overall, scoring 43.8 to 40.2 on the Noometry Index.

Which is cheaper, GLM-5V-Turbo or Mistral Medium 3.5?

GLM-5V-Turbo is cheaper. It lists at $1.20 per million input tokens and $4 per million output tokens; Mistral Medium 3.5 lists at $1.50 and $7.50.

Is GLM-5V-Turbo or Mistral Medium 3.5 better for coding?

GLM-5V-Turbo scores higher on coding benchmarks: 42.1 versus 36.0 in the Noometry coding category.

Which has the bigger context window?

Mistral Medium 3.5 does, with 262K tokens against 200K.

How many benchmarks do GLM-5V-Turbo and Mistral Medium 3.5 share?

18 benchmarks have published results for both models. GLM-5V-Turbo has 19 scored results on Noometry and Mistral Medium 3.5 has 22.

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