Noometry

Model comparison

GLM-5V-Turbo vs Mixtral 8x22B

GLM-5V-Turbo is the stronger model overall, scoring 43.1 to 26.7 on the Noometry Index.

Last verified . 16 shared benchmarks.

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

43.1

Rank #86 Confirmed

Mixtral 8x22B Mistral AI

26.7

Rank #330 Confirmed

Summary

  • They share 16 benchmarks with published results for both. GLM-5V-Turbo scores higher in 8 categories and Mixtral 8x22B in 0 categories; 8 gaps are clear of the uncertainty.
  • The widest gap is in writing & preference, where GLM-5V-Turbo leads 62.6 to 37.1.
  • GLM-5V-Turbo is cheaper at $1.20 / $4 per million input/output tokens, against $2 / $6 for Mixtral 8x22B.
  • GLM-5V-Turbo accepts more context: 200K tokens versus 64K.
  • Mixtral 8x22B has downloadable open weights; the other is API-only.

Side by side

GLM-5V-TurboMixtral 8x22B
ProviderZ.ai (Zhipu)Mistral AI
Noometry Index43.126.7
Released2026-04-012024-04-17
WeightsProprietaryOpen
Context window200K64K
Max output131K64K
Input $ / M tokens$1.20$2
Output $ / M tokens$4$6
Results tracked1934

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Category by category

Coding GLM-5V-Turbo leads

GLM-5V-Turbo: 41.8 (#105), Mixtral 8x22B: 23.8 (#324)

BenchmarkGLM-5V-TurboMixtral 8x22B
LMArena Coding14671166
LMArena WebDev1400—
WeirdML—3.2%
BigCodeBench Instruct—40.6%
BigCodeBench Complete—50.2%
HumanEval+—72%
MBPP+—64.3%

Agentic & Tool Use Not comparable

GLM-5V-Turbo: —, Mixtral 8x22B: 22.8 (#119)

BenchmarkGLM-5V-TurboMixtral 8x22B
Cybench—7.5%

Reasoning GLM-5V-Turbo leads

GLM-5V-Turbo: 28.5 (#87), Mixtral 8x22B: 19.1 (#246)

BenchmarkGLM-5V-TurboMixtral 8x22B
LMArena Hard Prompts14431150
DTBench—55.1%
Epoch Capabilities Index—122
ForecastBench—56.3

Math GLM-5V-Turbo leads

GLM-5V-Turbo: 36.6 (#109), Mixtral 8x22B: 21.2 (#271)

BenchmarkGLM-5V-TurboMixtral 8x22B
LMArena Math14401184
Omni-MATH—16.3%
MATH Level 5—24.2%

Knowledge GLM-5V-Turbo leads

GLM-5V-Turbo: 39.9 (#113), Mixtral 8x22B: 15.1 (#288)

BenchmarkGLM-5V-TurboMixtral 8x22B
LMArena Expert14511113
GPQA Diamond—34.1%
MMLU-Pro—46%
GPQA (HELM)—33.4%
MMLU—77.8%

Multimodal Not comparable

GLM-5V-Turbo: 40.1 (#41), Mixtral 8x22B: —

BenchmarkGLM-5V-TurboMixtral 8x22B
LMArena Vision1264—
LMArena Document1416—

Multilingual GLM-5V-Turbo leads

GLM-5V-Turbo: 53.2 (#69), Mixtral 8x22B: 32.9 (#250)

BenchmarkGLM-5V-TurboMixtral 8x22B
LMArena Non-English14201128
LMArena Chinese14881116
LMArena French14431165
LMArena German14221141
LMArena Korean13991056
LMArena Russian14321158
LMArena Spanish14461150
LMArena Japanese—1037

Instruction Following GLM-5V-Turbo leads

GLM-5V-Turbo: 75.1 (#75), Mixtral 8x22B: 57.9 (#261)

BenchmarkGLM-5V-TurboMixtral 8x22B
LMArena Instruction Following14221147
IFEval—72.4%

Long Context GLM-5V-Turbo leads

GLM-5V-Turbo: 44.0 (#76), Mixtral 8x22B: 34.6 (#242)

BenchmarkGLM-5V-TurboMixtral 8x22B
LMArena Longer Query14391144

Writing & Preference GLM-5V-Turbo leads

GLM-5V-Turbo: 62.6 (#69), Mixtral 8x22B: 37.1 (#257)

BenchmarkGLM-5V-TurboMixtral 8x22B
LMArena Text14371162
LMArena Creative Writing14141141
LMArena Multi-Turn14321130
WildBench—71.1%

Frequently asked questions

Is GLM-5V-Turbo better than Mixtral 8x22B?

GLM-5V-Turbo is the stronger model overall, scoring 43.1 to 26.7 on the Noometry Index.

Which is cheaper, GLM-5V-Turbo or Mixtral 8x22B?

GLM-5V-Turbo is cheaper. It lists at $1.20 per million input tokens and $4 per million output tokens; Mixtral 8x22B lists at $2 and $6.

Is GLM-5V-Turbo or Mixtral 8x22B better for coding?

GLM-5V-Turbo scores higher on coding benchmarks: 41.8 versus 23.8 in the Noometry coding category.

Which has the bigger context window?

GLM-5V-Turbo does, with 200K tokens against 64K.

How many benchmarks do GLM-5V-Turbo and Mixtral 8x22B share?

16 benchmarks have published results for both models. GLM-5V-Turbo has 19 scored results on Noometry and Mixtral 8x22B has 34.

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