Model comparison

GLM-4.6V vs MiMo-V2-Flash

GLM-4.6V and MiMo-V2-Flash score almost the same on the Noometry Index (41.3 vs 41.3), so choose on price, context window or the category you care about most.

Last verified . 11 shared benchmarks.

GLM-4.6V Z.ai (Zhipu)

41.3

Rank #137 Confirmed

MiMo-V2-Flash Xiaomi

41.3

Rank #138 Confirmed

Summary

  • They share 11 benchmarks with published results for both. GLM-4.6V scores higher in 2 categories and MiMo-V2-Flash in 5 categories; 7 gaps are clear of the uncertainty.
  • The widest gap is in coding, where GLM-4.6V leads 40.9 to 36.1.
  • MiMo-V2-Flash is cheaper at $0.14 / $0.28 per million input/output tokens, against $0.30 / $0.90 for GLM-4.6V.
  • MiMo-V2-Flash accepts more context: 262K tokens versus 128K.

Side by side

GLM-4.6V and MiMo-V2-Flash specifications
GLM-4.6VMiMo-V2-Flash
ProviderZ.ai (Zhipu)Xiaomi
Noometry Index41.341.3
Released2025-12-082025-12-16
WeightsOpenOpen
Context window128K262K
Max output33K66K
Input $ / M tokens$0.30$0.14
Output $ / M tokens$0.90$0.28
Results tracked1221

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Category by category

Coding GLM-4.6V leads

GLM-4.6V: 40.9 (#128), MiMo-V2-Flash: 36.1 (#211)

Coding benchmarks
BenchmarkGLM-4.6VMiMo-V2-Flash
LMArena Coding13901443
LMArena WebDev—1330
SciCode—25.9%
ALE-Bench—737.95

Reasoning GLM-4.6V leads

GLM-4.6V: 27.6 (#115), MiMo-V2-Flash: 24.9 (#157)

Reasoning benchmarks
BenchmarkGLM-4.6VMiMo-V2-Flash
LMArena Hard Prompts13681420
CritPt—0%

Math Not comparable

GLM-4.6V: —, MiMo-V2-Flash: 38.3 (#139)

Math benchmarks
BenchmarkGLM-4.6VMiMo-V2-Flash
LMArena Math—1396

Knowledge MiMo-V2-Flash leads

GLM-4.6V: 38.0 (#149), MiMo-V2-Flash: 39.7 (#131)

Knowledge benchmarks
BenchmarkGLM-4.6VMiMo-V2-Flash
LMArena Expert13711425

Multimodal Not comparable

GLM-4.6V: 34.8 (#90), MiMo-V2-Flash: —

Multimodal benchmarks
BenchmarkGLM-4.6VMiMo-V2-Flash
LMArena Vision1164—

Multilingual MiMo-V2-Flash leads

GLM-4.6V: 48.6 (#141), MiMo-V2-Flash: 51.0 (#113)

Multilingual benchmarks
BenchmarkGLM-4.6VMiMo-V2-Flash
LMArena Non-English13591392
LMArena Chinese14251462
LMArena Russian13401387
LMArena French—1429
LMArena German—1395
LMArena Japanese—1325
LMArena Korean—1358
LMArena Spanish—1420

Instruction Following MiMo-V2-Flash leads

GLM-4.6V: 71.4 (#151), MiMo-V2-Flash: 73.5 (#120)

Instruction Following benchmarks
BenchmarkGLM-4.6VMiMo-V2-Flash
LMArena Instruction Following13521392

Long Context MiMo-V2-Flash leads

GLM-4.6V: 41.3 (#143), MiMo-V2-Flash: 43.0 (#110)

Long Context benchmarks
BenchmarkGLM-4.6VMiMo-V2-Flash
LMArena Longer Query13581409

Writing & Preference MiMo-V2-Flash leads

GLM-4.6V: 56.6 (#137), MiMo-V2-Flash: 59.7 (#106)

Writing & Preference benchmarks
BenchmarkGLM-4.6VMiMo-V2-Flash
LMArena Text13771411
LMArena Creative Writing13471375
LMArena Multi-Turn13601404

Frequently asked questions

Is GLM-4.6V better than MiMo-V2-Flash?

GLM-4.6V and MiMo-V2-Flash score almost the same on the Noometry Index (41.3 vs 41.3), so choose on price, context window or the category you care about most.

Which is cheaper, GLM-4.6V or MiMo-V2-Flash?

MiMo-V2-Flash is cheaper. It lists at $0.14 per million input tokens and $0.28 per million output tokens; GLM-4.6V lists at $0.30 and $0.90.

Is GLM-4.6V or MiMo-V2-Flash better for coding?

GLM-4.6V scores higher on coding benchmarks: 40.9 versus 36.1 in the Noometry coding category.

Which has the bigger context window?

MiMo-V2-Flash does, with 262K tokens against 128K.

How many benchmarks do GLM-4.6V and MiMo-V2-Flash share?

11 benchmarks have published results for both models. GLM-4.6V has 12 scored results on Noometry and MiMo-V2-Flash has 21.

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