Model comparison

GLM-4.5V vs MiMo-V2-Flash

MiMo-V2-Flash is the stronger model overall, scoring 41.3 to 39.8 on the Noometry Index.

Last verified . 13 shared benchmarks.

GLM-4.5V Z.ai (Zhipu)

39.8

Rank #158 Confirmed

MiMo-V2-Flash Xiaomi

41.3

Rank #138 Confirmed

Summary

  • They share 13 benchmarks with published results for both. GLM-4.5V scores higher in 2 categories and MiMo-V2-Flash in 6 categories; 7 gaps are clear of the uncertainty.
  • The widest gap is in writing & preference, where MiMo-V2-Flash leads 59.7 to 52.5.
  • MiMo-V2-Flash is cheaper at $0.14 / $0.28 per million input/output tokens, against $0.60 / $1.80 for GLM-4.5V.
  • MiMo-V2-Flash accepts more context: 262K tokens versus 64K.

Side by side

GLM-4.5V and MiMo-V2-Flash specifications
GLM-4.5VMiMo-V2-Flash
ProviderZ.ai (Zhipu)Xiaomi
Noometry Index39.841.3
Released2025-08-112025-12-16
WeightsOpenOpen
Context window64K262K
Max output16K66K
Input $ / M tokens$0.60$0.14
Output $ / M tokens$1.80$0.28
Results tracked1521

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Category by category

Coding GLM-4.5V leads

GLM-4.5V: 39.5 (#155), MiMo-V2-Flash: 36.1 (#211)

Coding benchmarks
BenchmarkGLM-4.5VMiMo-V2-Flash
LMArena Coding13471443
LMArena WebDev—1330
SciCode—25.9%
ALE-Bench—737.95

Reasoning GLM-4.5V leads

GLM-4.5V: 27.4 (#119), MiMo-V2-Flash: 24.9 (#157)

Reasoning benchmarks
BenchmarkGLM-4.5VMiMo-V2-Flash
LMArena Hard Prompts13341420
Kagi LLM Benchmark59.8%—
CritPt—0%

Math Too close to call

GLM-4.5V: 37.4 (#159), MiMo-V2-Flash: 38.3 (#139)

Math benchmarks
BenchmarkGLM-4.5VMiMo-V2-Flash
LMArena Math13541396

Knowledge MiMo-V2-Flash leads

GLM-4.5V: 37.5 (#156), MiMo-V2-Flash: 39.7 (#131)

Knowledge benchmarks
BenchmarkGLM-4.5VMiMo-V2-Flash
LMArena Expert13531425

Multimodal Not comparable

GLM-4.5V: 34.3 (#92), MiMo-V2-Flash: —

Multimodal benchmarks
BenchmarkGLM-4.5VMiMo-V2-Flash
LMArena Vision1154—

Multilingual MiMo-V2-Flash leads

GLM-4.5V: 44.6 (#177), MiMo-V2-Flash: 51.0 (#113)

Multilingual benchmarks
BenchmarkGLM-4.5VMiMo-V2-Flash
LMArena Non-English13031392
LMArena Chinese13371462
LMArena Russian12981387
LMArena Spanish13361420
LMArena French—1429
LMArena German—1395
LMArena Japanese—1325
LMArena Korean—1358

Instruction Following MiMo-V2-Flash leads

GLM-4.5V: 69.2 (#175), MiMo-V2-Flash: 73.5 (#120)

Instruction Following benchmarks
BenchmarkGLM-4.5VMiMo-V2-Flash
LMArena Instruction Following13111392

Long Context MiMo-V2-Flash leads

GLM-4.5V: 39.6 (#171), MiMo-V2-Flash: 43.0 (#110)

Long Context benchmarks
BenchmarkGLM-4.5VMiMo-V2-Flash
LMArena Longer Query13041409

Writing & Preference MiMo-V2-Flash leads

GLM-4.5V: 52.5 (#170), MiMo-V2-Flash: 59.7 (#106)

Writing & Preference benchmarks
BenchmarkGLM-4.5VMiMo-V2-Flash
LMArena Text13331411
LMArena Creative Writing12951375
LMArena Multi-Turn13321404

Frequently asked questions

Is GLM-4.5V better than MiMo-V2-Flash?

MiMo-V2-Flash is the stronger model overall, scoring 41.3 to 39.8 on the Noometry Index.

Which is cheaper, GLM-4.5V 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-4.5V lists at $0.60 and $1.80.

Is GLM-4.5V or MiMo-V2-Flash better for coding?

GLM-4.5V scores higher on coding benchmarks: 39.5 versus 36.1 in the Noometry coding category.

Which has the bigger context window?

MiMo-V2-Flash does, with 262K tokens against 64K.

How many benchmarks do GLM-4.5V and MiMo-V2-Flash share?

13 benchmarks have published results for both models. GLM-4.5V has 15 scored results on Noometry and MiMo-V2-Flash has 21.

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