Noometry

Model comparison

GLM-4.7-Flash vs GLM-5V-Turbo

GLM-5V-Turbo is the stronger model overall, scoring 43.8 to 38.8 on the Noometry Index. GLM-4.7-Flash costs 13× less per token, which makes it the better buy when GLM-5V-Turbo's lead doesn't matter for your workload.

Last verified . 16 shared benchmarks.

GLM-4.7-Flash Z.ai (Zhipu)

38.8

Rank #180 Confirmed

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

43.8

Rank #84 Confirmed

Summary

  • They share 16 benchmarks with published results for both. GLM-4.7-Flash scores higher in 0 categories and GLM-5V-Turbo in 8 categories; 8 gaps are clear of the uncertainty.
  • The widest gap is in writing & preference, where GLM-5V-Turbo leads 62.5 to 47.4.
  • GLM-4.7-Flash is cheaper at $0.06 / $0.40 per million input/output tokens, against $1.20 / $4 for GLM-5V-Turbo.
  • GLM-4.7-Flash has downloadable open weights; the other is API-only.

Side by side

GLM-4.7-FlashGLM-5V-Turbo
ProviderZ.ai (Zhipu)Z.ai (Zhipu)
Noometry Index38.843.8
Released2026-01-192026-04-01
WeightsOpenProprietary
Context window200K200K
Max output131K131K
Input $ / M tokens$0.06$1.20
Output $ / M tokens$0.40$4
Results tracked2119

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Category by category

Coding GLM-5V-Turbo leads

GLM-4.7-Flash: 40.6 (#135), GLM-5V-Turbo: 42.1 (#111)

BenchmarkGLM-4.7-FlashGLM-5V-Turbo
LMArena Coding13831466
LMArena WebDev—1401

Reasoning GLM-5V-Turbo leads

GLM-4.7-Flash: 20.9 (#229), GLM-5V-Turbo: 29.7 (#89)

BenchmarkGLM-4.7-FlashGLM-5V-Turbo
LMArena Hard Prompts13561443
Chess Puzzles0%—

Math GLM-5V-Turbo leads

GLM-4.7-Flash: 36.1 (#173), GLM-5V-Turbo: 39.4 (#106)

BenchmarkGLM-4.7-FlashGLM-5V-Turbo
LMArena Math13551441
OTIS Mock AIME 2024-202558.3%—

Knowledge GLM-5V-Turbo leads

GLM-4.7-Flash: 35.5 (#184), GLM-5V-Turbo: 40.6 (#117)

BenchmarkGLM-4.7-FlashGLM-5V-Turbo
LMArena Expert13571452
GPQA Diamond60.5%—
Vectara Hallucination Rate9.3%—

Multimodal Not comparable

GLM-4.7-Flash: —, GLM-5V-Turbo: 40.9 (#42)

BenchmarkGLM-4.7-FlashGLM-5V-Turbo
LMArena Vision—1264
LMArena Document—1416

Multilingual GLM-5V-Turbo leads

GLM-4.7-Flash: 46.5 (#158), GLM-5V-Turbo: 53.0 (#73)

BenchmarkGLM-4.7-FlashGLM-5V-Turbo
LMArena Non-English13301420
LMArena Chinese14031488
LMArena French13321444
LMArena German13371423
LMArena Korean12831396
LMArena Russian13321431
LMArena Spanish13501450

Instruction Following GLM-5V-Turbo leads

GLM-4.7-Flash: 70.1 (#167), GLM-5V-Turbo: 75.0 (#80)

BenchmarkGLM-4.7-FlashGLM-5V-Turbo
LMArena Instruction Following13271423

Long Context GLM-5V-Turbo leads

GLM-4.7-Flash: 40.9 (#148), GLM-5V-Turbo: 44.0 (#80)

BenchmarkGLM-4.7-FlashGLM-5V-Turbo
LMArena Longer Query13451438

Writing & Preference GLM-5V-Turbo leads

GLM-4.7-Flash: 47.4 (#210), GLM-5V-Turbo: 62.5 (#73)

BenchmarkGLM-4.7-FlashGLM-5V-Turbo
LMArena Text13511437
LMArena Creative Writing12971416
LMArena Multi-Turn13421432
EQ-Bench Creative Writing1125—

Frequently asked questions

Is GLM-4.7-Flash better than GLM-5V-Turbo?

GLM-5V-Turbo is the stronger model overall, scoring 43.8 to 38.8 on the Noometry Index. GLM-4.7-Flash costs 13× less per token, which makes it the better buy when GLM-5V-Turbo's lead doesn't matter for your workload.

Which is cheaper, GLM-4.7-Flash or GLM-5V-Turbo?

GLM-4.7-Flash is cheaper. It lists at $0.06 per million input tokens and $0.40 per million output tokens; GLM-5V-Turbo lists at $1.20 and $4.

Is GLM-4.7-Flash or GLM-5V-Turbo better for coding?

GLM-5V-Turbo scores higher on coding benchmarks: 42.1 versus 40.6 in the Noometry coding category.

Which has the bigger context window?

Both accept 200K tokens.

How many benchmarks do GLM-4.7-Flash and GLM-5V-Turbo share?

16 benchmarks have published results for both models. GLM-4.7-Flash has 21 scored results on Noometry and GLM-5V-Turbo has 19.

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