Model comparison

GLM-4.5-Air vs MiMo-V2.5

MiMo-V2.5 is the stronger model overall, scoring 43.4 to 38.9 on the Noometry Index.

Last verified . 17 shared benchmarks.

GLM-4.5-Air Z.ai (Zhipu)

38.9

Rank #177 Confirmed

MiMo-V2.5 Xiaomi

43.4

Rank #93 Confirmed

Summary

  • They share 17 benchmarks with published results for both. GLM-4.5-Air scores higher in 0 categories and MiMo-V2.5 in 8 categories; 7 gaps are clear of the uncertainty.
  • The widest gap is in coding, where MiMo-V2.5 leads 43.9 to 33.3.
  • MiMo-V2.5 is cheaper at $0.14 / $0.28 per million input/output tokens, against $0.20 / $1.10 for GLM-4.5-Air.
  • MiMo-V2.5 accepts more context: 1.05M tokens versus 131K.

Side by side

GLM-4.5-Air and MiMo-V2.5 specifications
GLM-4.5-AirMiMo-V2.5
ProviderZ.ai (Zhipu)Xiaomi
Noometry Index38.943.4
Released2025-07-202026-04-22
WeightsOpenOpen
Context window131K1.05M
Max output98K131K
Input $ / M tokens$0.20$0.14
Output $ / M tokens$1.10$0.28
Results tracked2723

Sponsored placements are available on pages like this one. Advertise on Noometry

Category by category

Coding MiMo-V2.5 leads

GLM-4.5-Air: 33.3 (#259), MiMo-V2.5: 43.9 (#81)

Coding benchmarks
BenchmarkGLM-4.5-AirMiMo-V2.5
LMArena Coding13971469
LMArena WebDev—1438
SciCode—43.1%
GSO2.9%—
ALE-Bench—513.95

Reasoning MiMo-V2.5 leads

GLM-4.5-Air: 24.1 (#166), MiMo-V2.5: 28.6 (#101)

Reasoning benchmarks
BenchmarkGLM-4.5-AirMiMo-V2.5
LMArena Hard Prompts13791450
Kagi LLM Benchmark43%—
CritPt—3.7%
ForecastBench59.2—

Math Too close to call

GLM-4.5-Air: 36.2 (#170), MiMo-V2.5: 36.8 (#163)

Math benchmarks
BenchmarkGLM-4.5-AirMiMo-V2.5
LMArena Math13961436
ProofBench—16%
Omni-MATH39.1%—

Knowledge MiMo-V2.5 leads

GLM-4.5-Air: 35.0 (#191), MiMo-V2.5: 40.8 (#115)

Knowledge benchmarks
BenchmarkGLM-4.5-AirMiMo-V2.5
LMArena Expert13701460
Humanity's Last Exam8.1%—
MMLU-Pro76.2%—
Vectara Hallucination Rate9.3%—
GPQA (HELM)59.4%—

Multimodal Not comparable

GLM-4.5-Air: —, MiMo-V2.5: 39.8 (#54)

Multimodal benchmarks
BenchmarkGLM-4.5-AirMiMo-V2.5
LMArena Vision—1247

Multilingual MiMo-V2.5 leads

GLM-4.5-Air: 49.1 (#135), MiMo-V2.5: 51.9 (#99)

Multilingual benchmarks
BenchmarkGLM-4.5-AirMiMo-V2.5
LMArena Non-English13661404
LMArena Chinese14261468
LMArena French13991447
LMArena German13771421
LMArena Japanese13481306
LMArena Korean13081363
LMArena Russian13731395
LMArena Spanish13861416

Instruction Following MiMo-V2.5 leads

GLM-4.5-Air: 69.6 (#171), MiMo-V2.5: 75.5 (#60)

Instruction Following benchmarks
BenchmarkGLM-4.5-AirMiMo-V2.5
LMArena Instruction Following13541434
IFEval81.2%—

Long Context MiMo-V2.5 leads

GLM-4.5-Air: 41.6 (#135), MiMo-V2.5: 44.2 (#73)

Long Context benchmarks
BenchmarkGLM-4.5-AirMiMo-V2.5
LMArena Longer Query13661445

Writing & Preference MiMo-V2.5 leads

GLM-4.5-Air: 55.9 (#139), MiMo-V2.5: 61.6 (#86)

Writing & Preference benchmarks
BenchmarkGLM-4.5-AirMiMo-V2.5
LMArena Text13841428
LMArena Creative Writing13431393
LMArena Multi-Turn13711445
WildBench78.9%—

Frequently asked questions

Is GLM-4.5-Air better than MiMo-V2.5?

MiMo-V2.5 is the stronger model overall, scoring 43.4 to 38.9 on the Noometry Index.

Which is cheaper, GLM-4.5-Air or MiMo-V2.5?

MiMo-V2.5 is cheaper. It lists at $0.14 per million input tokens and $0.28 per million output tokens; GLM-4.5-Air lists at $0.20 and $1.10.

Is GLM-4.5-Air or MiMo-V2.5 better for coding?

MiMo-V2.5 scores higher on coding benchmarks: 43.9 versus 33.3 in the Noometry coding category.

Which has the bigger context window?

MiMo-V2.5 does, with 1.05M tokens against 131K.

How many benchmarks do GLM-4.5-Air and MiMo-V2.5 share?

17 benchmarks have published results for both models. GLM-4.5-Air has 27 scored results on Noometry and MiMo-V2.5 has 23.

Related comparisons

Go deeper