Noometry

Model comparison

GLM-4.7-Flash vs Mistral

GLM-4.7-Flash is the stronger model overall, scoring 38.8 to 29.9 on the Noometry Index.

Last verified . 16 shared benchmarks.

GLM-4.7-Flash Z.ai (Zhipu)

38.8

Rank #180 Confirmed

Mistral Mistral AI

29.9

Rank #303 Confirmed

Summary

  • They share 16 benchmarks with published results for both. GLM-4.7-Flash scores higher in 7 categories and Mistral in 1 category; 8 gaps are clear of the uncertainty.
  • The widest gap is in knowledge, where GLM-4.7-Flash leads 35.5 to 16.6.
  • GLM-4.7-Flash has downloadable open weights; the other is API-only.

Side by side

GLM-4.7-FlashMistral
ProviderZ.ai (Zhipu)Mistral AI
Noometry Index38.829.9
Released2026-01-19—
WeightsOpenProprietary
Context window200K—
Max output131K—
Input $ / M tokens$0.06—
Output $ / M tokens$0.40—
Results tracked2122

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Category by category

Coding GLM-4.7-Flash leads

GLM-4.7-Flash: 40.6 (#135), Mistral: 33.8 (#250)

BenchmarkGLM-4.7-FlashMistral
LMArena Coding13831162

Reasoning Mistral leads

GLM-4.7-Flash: 20.9 (#229), Mistral: 22.2 (#200)

BenchmarkGLM-4.7-FlashMistral
LMArena Hard Prompts13561149
Chess Puzzles0%—

Math GLM-4.7-Flash leads

GLM-4.7-Flash: 36.1 (#173), Mistral: 22.3 (#278)

BenchmarkGLM-4.7-FlashMistral
LMArena Math13551180
OTIS Mock AIME 2024-202558.3%—
Omni-MATH—7.2%

Knowledge GLM-4.7-Flash leads

GLM-4.7-Flash: 35.5 (#184), Mistral: 16.6 (#288)

BenchmarkGLM-4.7-FlashMistral
LMArena Expert13571125
GPQA Diamond60.5%—
MMLU-Pro—27.7%
Vectara Hallucination Rate9.3%—
GPQA (HELM)—30.3%

Multilingual GLM-4.7-Flash leads

GLM-4.7-Flash: 46.5 (#158), Mistral: 32.8 (#254)

BenchmarkGLM-4.7-FlashMistral
LMArena Non-English13301129
LMArena Chinese14031109
LMArena French13321180
LMArena German13371155
LMArena Korean12831032
LMArena Russian13321168
LMArena Spanish13501143
LMArena Japanese—1013

Instruction Following GLM-4.7-Flash leads

GLM-4.7-Flash: 70.1 (#167), Mistral: 52.6 (#288)

BenchmarkGLM-4.7-FlashMistral
LMArena Instruction Following13271152
IFEval—56.8%

Long Context GLM-4.7-Flash leads

GLM-4.7-Flash: 40.9 (#148), Mistral: 35.0 (#245)

BenchmarkGLM-4.7-FlashMistral
LMArena Longer Query13451153

Writing & Preference GLM-4.7-Flash leads

GLM-4.7-Flash: 47.4 (#210), Mistral: 37.0 (#260)

BenchmarkGLM-4.7-FlashMistral
LMArena Text13511165
LMArena Creative Writing12971158
LMArena Multi-Turn13421147
EQ-Bench Creative Writing1125—
WildBench—66%

Frequently asked questions

Is GLM-4.7-Flash better than Mistral?

GLM-4.7-Flash is the stronger model overall, scoring 38.8 to 29.9 on the Noometry Index.

Is GLM-4.7-Flash or Mistral better for coding?

GLM-4.7-Flash scores higher on coding benchmarks: 40.6 versus 33.8 in the Noometry coding category.

How many benchmarks do GLM-4.7-Flash and Mistral share?

16 benchmarks have published results for both models. GLM-4.7-Flash has 21 scored results on Noometry and Mistral has 22.

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