Model comparison

GLM-5V-Turbo vs MiMo-V2.6-Flash

MiMo-V2.6-Flash is the stronger model overall, scoring 48.5 to 43.8 on the Noometry Index.

Last verified . 16 shared benchmarks.

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

43.8

Rank #84 Confirmed

MiMo-V2.6-Flash Xiaomi

48.5

Rank #55 Confirmed

Summary

  • They share 16 benchmarks with published results for both. GLM-5V-Turbo scores higher in 1 category and MiMo-V2.6-Flash in 8 categories; 6 gaps are clear of the uncertainty.
  • The widest gap is in math, where MiMo-V2.6-Flash leads 51.9 to 39.4.
  • MiMo-V2.6-Flash is cheaper at $0.14 / $0.28 per million input/output tokens, against $1.20 / $4 for GLM-5V-Turbo.
  • MiMo-V2.6-Flash accepts more context: 1.05M tokens versus 200K.
  • MiMo-V2.6-Flash has downloadable open weights; the other is API-only.

Side by side

GLM-5V-Turbo and MiMo-V2.6-Flash specifications
GLM-5V-TurboMiMo-V2.6-Flash
ProviderZ.ai (Zhipu)Xiaomi
Noometry Index43.848.5
Released2026-04-012026-09-21
WeightsProprietaryOpen
Context window200K1.05M
Max output131K131K
Input $ / M tokens$1.20$0.14
Output $ / M tokens$4$0.28
Results tracked1919

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Category by category

Coding MiMo-V2.6-Flash leads

GLM-5V-Turbo: 42.1 (#111), MiMo-V2.6-Flash: 53.4 (#30)

Coding benchmarks
BenchmarkGLM-5V-TurboMiMo-V2.6-Flash
LMArena WebDev14011637
LMArena Coding14661504
SciCode—51.3%

Reasoning MiMo-V2.6-Flash leads

GLM-5V-Turbo: 29.7 (#89), MiMo-V2.6-Flash: 36.5 (#66)

Reasoning benchmarks
BenchmarkGLM-5V-TurboMiMo-V2.6-Flash
LMArena Hard Prompts14431482
CritPt—12%

Math MiMo-V2.6-Flash leads

GLM-5V-Turbo: 39.4 (#106), MiMo-V2.6-Flash: 51.9 (#52)

Math benchmarks
BenchmarkGLM-5V-TurboMiMo-V2.6-Flash
LMArena Math14411468
ProofBench—63%

Knowledge MiMo-V2.6-Flash leads

GLM-5V-Turbo: 40.6 (#117), MiMo-V2.6-Flash: 42.2 (#99)

Knowledge benchmarks
BenchmarkGLM-5V-TurboMiMo-V2.6-Flash
LMArena Expert14521501

Multimodal Too close to call

GLM-5V-Turbo: 40.9 (#42), MiMo-V2.6-Flash: 40.5 (#47)

Multimodal benchmarks
BenchmarkGLM-5V-TurboMiMo-V2.6-Flash
LMArena Vision12641259
LMArena Document1416—

Multilingual MiMo-V2.6-Flash leads

GLM-5V-Turbo: 53.0 (#73), MiMo-V2.6-Flash: 54.0 (#51)

Multilingual benchmarks
BenchmarkGLM-5V-TurboMiMo-V2.6-Flash
LMArena Non-English14201434
LMArena Chinese14881511
LMArena French14441475
LMArena Russian14311409
LMArena Spanish14501456
LMArena German1423—
LMArena Korean1396—

Instruction Following MiMo-V2.6-Flash leads

GLM-5V-Turbo: 75.0 (#80), MiMo-V2.6-Flash: 76.8 (#35)

Instruction Following benchmarks
BenchmarkGLM-5V-TurboMiMo-V2.6-Flash
LMArena Instruction Following14231463

Long Context Too close to call

GLM-5V-Turbo: 44.0 (#80), MiMo-V2.6-Flash: 44.8 (#57)

Long Context benchmarks
BenchmarkGLM-5V-TurboMiMo-V2.6-Flash
LMArena Longer Query14381463

Writing & Preference Too close to call

GLM-5V-Turbo: 62.5 (#73), MiMo-V2.6-Flash: 63.1 (#67)

Writing & Preference benchmarks
BenchmarkGLM-5V-TurboMiMo-V2.6-Flash
LMArena Text14371455
LMArena Creative Writing14161400
LMArena Multi-Turn14321451

Frequently asked questions

Is GLM-5V-Turbo better than MiMo-V2.6-Flash?

MiMo-V2.6-Flash is the stronger model overall, scoring 48.5 to 43.8 on the Noometry Index.

Which is cheaper, GLM-5V-Turbo or MiMo-V2.6-Flash?

MiMo-V2.6-Flash is cheaper. It lists at $0.14 per million input tokens and $0.28 per million output tokens; GLM-5V-Turbo lists at $1.20 and $4.

Is GLM-5V-Turbo or MiMo-V2.6-Flash better for coding?

MiMo-V2.6-Flash scores higher on coding benchmarks: 53.4 versus 42.1 in the Noometry coding category.

Which has the bigger context window?

MiMo-V2.6-Flash does, with 1.05M tokens against 200K.

How many benchmarks do GLM-5V-Turbo and MiMo-V2.6-Flash share?

16 benchmarks have published results for both models. GLM-5V-Turbo has 19 scored results on Noometry and MiMo-V2.6-Flash has 19.

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