Noometry

Model comparison

GLM-4.7-Flash vs Mistral Large 4

Mistral Large 4 is the stronger model overall, scoring 43.1 to 38.8 on the Noometry Index. GLM-4.7-Flash costs 7.1× less per token, which makes it the better buy when Mistral Large 4's lead doesn't matter for your workload.

Last verified . 12 shared benchmarks.

GLM-4.7-Flash Z.ai (Zhipu)

38.8

Rank #180 Confirmed

Mistral Large 4 Mistral AI

43.1

Rank #99 Confirmed

Summary

  • They share 12 benchmarks with published results for both. GLM-4.7-Flash scores higher in 0 categories and Mistral Large 4 in 8 categories; 8 gaps are clear of the uncertainty.
  • The widest gap is in writing & preference, where Mistral Large 4 leads 60.4 to 47.4.
  • GLM-4.7-Flash is cheaper at $0.06 / $0.40 per million input/output tokens, against $0.68 / $2.09 for Mistral Large 4.
  • Mistral Large 4 accepts more context: 1.05M tokens versus 200K.
  • GLM-4.7-Flash has downloadable open weights; the other is API-only.

Side by side

GLM-4.7-FlashMistral Large 4
ProviderZ.ai (Zhipu)Mistral AI
Noometry Index38.843.1
Released2026-01-192026-10-06
WeightsOpenProprietary
Context window200K1.05M
Max output131K262K
Input $ / M tokens$0.06$0.68
Output $ / M tokens$0.40$2.09
Results tracked2115

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Category by category

Coding Mistral Large 4 leads

GLM-4.7-Flash: 40.6 (#135), Mistral Large 4: 48.6 (#57)

BenchmarkGLM-4.7-FlashMistral Large 4
LMArena Coding13831475
LMArena WebDev—1541

Reasoning Mistral Large 4 leads

GLM-4.7-Flash: 20.9 (#229), Mistral Large 4: 22.5 (#192)

BenchmarkGLM-4.7-FlashMistral Large 4
LMArena Hard Prompts13561444
NYT Connections (extended)—27.4%
Chess Puzzles0%—

Math Mistral Large 4 leads

GLM-4.7-Flash: 36.1 (#173), Mistral Large 4: 40.4 (#91)

BenchmarkGLM-4.7-FlashMistral Large 4
LMArena Math13551488
OTIS Mock AIME 2024-202558.3%—

Knowledge Mistral Large 4 leads

GLM-4.7-Flash: 35.5 (#184), Mistral Large 4: 36.6 (#166)

BenchmarkGLM-4.7-FlashMistral Large 4
LMArena Expert13571447
GPQA Diamond60.5%—
SimpleQA Verified—20%
Vectara Hallucination Rate9.3%—

Multilingual Mistral Large 4 leads

GLM-4.7-Flash: 46.5 (#158), Mistral Large 4: 52.6 (#82)

BenchmarkGLM-4.7-FlashMistral Large 4
LMArena Non-English13301415
LMArena Chinese14031491
LMArena Russian13321414
LMArena French1332—
LMArena German1337—
LMArena Korean1283—
LMArena Spanish1350—

Instruction Following Mistral Large 4 leads

GLM-4.7-Flash: 70.1 (#167), Mistral Large 4: 75.0 (#76)

BenchmarkGLM-4.7-FlashMistral Large 4
LMArena Instruction Following13271424

Long Context Mistral Large 4 leads

GLM-4.7-Flash: 40.9 (#148), Mistral Large 4: 43.6 (#89)

BenchmarkGLM-4.7-FlashMistral Large 4
LMArena Longer Query13451429

Writing & Preference Mistral Large 4 leads

GLM-4.7-Flash: 47.4 (#210), Mistral Large 4: 60.4 (#97)

BenchmarkGLM-4.7-FlashMistral Large 4
LMArena Text13511427
LMArena Creative Writing12971361
LMArena Multi-Turn13421424
EQ-Bench Creative Writing1125—

Frequently asked questions

Is GLM-4.7-Flash better than Mistral Large 4?

Mistral Large 4 is the stronger model overall, scoring 43.1 to 38.8 on the Noometry Index. GLM-4.7-Flash costs 7.1× less per token, which makes it the better buy when Mistral Large 4's lead doesn't matter for your workload.

Which is cheaper, GLM-4.7-Flash or Mistral Large 4?

GLM-4.7-Flash is cheaper. It lists at $0.06 per million input tokens and $0.40 per million output tokens; Mistral Large 4 lists at $0.68 and $2.09.

Is GLM-4.7-Flash or Mistral Large 4 better for coding?

Mistral Large 4 scores higher on coding benchmarks: 48.6 versus 40.6 in the Noometry coding category.

Which has the bigger context window?

Mistral Large 4 does, with 1.05M tokens against 200K.

How many benchmarks do GLM-4.7-Flash and Mistral Large 4 share?

12 benchmarks have published results for both models. GLM-4.7-Flash has 21 scored results on Noometry and Mistral Large 4 has 15.

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