Model comparison

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

MiMo-V2.6-Flash is the stronger model overall, scoring 44.4 to 43.1 on the Noometry Index.

Last verified . 13 shared benchmarks.

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

43.1

Rank #86 Confirmed

MiMo-V2.6-Flash Xiaomi

44.4

Rank #74 Confirmed

Summary

  • They share 13 benchmarks with published results for both. GLM-5V-Turbo scores higher in 0 categories and MiMo-V2.6-Flash in 9 categories; 6 gaps are clear of the uncertainty.
  • 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 Index43.144.4
Released2026-04-012026-09-22
WeightsProprietaryOpen
Context window200K1.05M
Max output131K131K
Input $ / M tokens$1.20$0.14
Output $ / M tokens$4$0.28
Results tracked1913

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Category by category

Coding MiMo-V2.6-Flash leads

GLM-5V-Turbo: 41.8 (#105), MiMo-V2.6-Flash: 44.3 (#68)

Coding benchmarks
BenchmarkGLM-5V-TurboMiMo-V2.6-Flash
LMArena Coding14671516
LMArena WebDev1400—

Reasoning MiMo-V2.6-Flash leads

GLM-5V-Turbo: 28.5 (#87), MiMo-V2.6-Flash: 29.6 (#82)

Reasoning benchmarks
BenchmarkGLM-5V-TurboMiMo-V2.6-Flash
LMArena Hard Prompts14431481

Math Too close to call

GLM-5V-Turbo: 36.6 (#109), MiMo-V2.6-Flash: 37.4 (#97)

Math benchmarks
BenchmarkGLM-5V-TurboMiMo-V2.6-Flash
LMArena Math14401477

Knowledge MiMo-V2.6-Flash leads

GLM-5V-Turbo: 39.9 (#113), MiMo-V2.6-Flash: 42.0 (#91)

Knowledge benchmarks
BenchmarkGLM-5V-TurboMiMo-V2.6-Flash
LMArena Expert14511516

Multimodal Too close to call

GLM-5V-Turbo: 40.1 (#41), MiMo-V2.6-Flash: 40.2 (#39)

Multimodal benchmarks
BenchmarkGLM-5V-TurboMiMo-V2.6-Flash
LMArena Vision12641266
LMArena Document1416—

Multilingual MiMo-V2.6-Flash leads

GLM-5V-Turbo: 53.2 (#69), MiMo-V2.6-Flash: 54.6 (#41)

Multilingual benchmarks
BenchmarkGLM-5V-TurboMiMo-V2.6-Flash
LMArena Non-English14201439
LMArena Chinese14881501
LMArena Russian14321424
LMArena French1443—
LMArena German1422—
LMArena Korean1399—
LMArena Spanish1446—

Instruction Following MiMo-V2.6-Flash leads

GLM-5V-Turbo: 75.1 (#75), MiMo-V2.6-Flash: 77.0 (#33)

Instruction Following benchmarks
BenchmarkGLM-5V-TurboMiMo-V2.6-Flash
LMArena Instruction Following14221463

Long Context Too close to call

GLM-5V-Turbo: 44.0 (#76), MiMo-V2.6-Flash: 44.8 (#52)

Long Context benchmarks
BenchmarkGLM-5V-TurboMiMo-V2.6-Flash
LMArena Longer Query14391465

Writing & Preference MiMo-V2.6-Flash leads

GLM-5V-Turbo: 62.6 (#69), MiMo-V2.6-Flash: 63.9 (#61)

Writing & Preference benchmarks
BenchmarkGLM-5V-TurboMiMo-V2.6-Flash
LMArena Text14371459
LMArena Creative Writing14141408
LMArena Multi-Turn14321460

Frequently asked questions

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

MiMo-V2.6-Flash is the stronger model overall, scoring 44.4 to 43.1 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: 44.3 versus 41.8 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?

13 benchmarks have published results for both models. GLM-5V-Turbo has 19 scored results on Noometry and MiMo-V2.6-Flash has 13.

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