Noometry

Model comparison

GLM-4.5-Air vs MiMo-V2.6-Flash

MiMo-V2.6-Flash is the stronger model overall, scoring 48.5 to 38.9 on the Noometry Index.

Last verified . 14 shared benchmarks.

GLM-4.5-Air Z.ai (Zhipu)

38.9

Rank #177 Confirmed

MiMo-V2.6-Flash Xiaomi

48.5

Rank #55 Confirmed

Summary

  • They share 14 benchmarks with published results for both. GLM-4.5-Air scores higher in 0 categories and MiMo-V2.6-Flash in 8 categories; 8 gaps are clear of the uncertainty.
  • The widest gap is in coding, where MiMo-V2.6-Flash leads 53.4 to 33.3.
  • MiMo-V2.6-Flash is cheaper at $0.14 / $0.28 per million input/output tokens, against $0.20 / $1.10 for GLM-4.5-Air.
  • MiMo-V2.6-Flash accepts more context: 1.05M tokens versus 131K.

Side by side

GLM-4.5-AirMiMo-V2.6-Flash
ProviderZ.ai (Zhipu)Xiaomi
Noometry Index38.948.5
Released2025-07-202026-09-21
WeightsOpenOpen
Context window131K1.05M
Max output98K131K
Input $ / M tokens$0.20$0.14
Output $ / M tokens$1.10$0.28
Results tracked2719

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Category by category

Coding MiMo-V2.6-Flash leads

GLM-4.5-Air: 33.3 (#259), MiMo-V2.6-Flash: 53.4 (#30)

BenchmarkGLM-4.5-AirMiMo-V2.6-Flash
LMArena Coding13971504
LMArena WebDev—1637
SciCode—51.3%
GSO2.9%—

Reasoning MiMo-V2.6-Flash leads

GLM-4.5-Air: 24.1 (#166), MiMo-V2.6-Flash: 36.5 (#66)

BenchmarkGLM-4.5-AirMiMo-V2.6-Flash
LMArena Hard Prompts13791482
Kagi LLM Benchmark43%—
CritPt—12%
ForecastBench59.2—

Math MiMo-V2.6-Flash leads

GLM-4.5-Air: 36.2 (#170), MiMo-V2.6-Flash: 51.9 (#52)

BenchmarkGLM-4.5-AirMiMo-V2.6-Flash
LMArena Math13961468
ProofBench—63%
Omni-MATH39.1%—

Knowledge MiMo-V2.6-Flash leads

GLM-4.5-Air: 35.0 (#191), MiMo-V2.6-Flash: 42.2 (#99)

BenchmarkGLM-4.5-AirMiMo-V2.6-Flash
LMArena Expert13701501
Humanity's Last Exam8.1%—
MMLU-Pro76.2%—
Vectara Hallucination Rate9.3%—
GPQA (HELM)59.4%—

Multimodal Not comparable

GLM-4.5-Air: —, MiMo-V2.6-Flash: 40.5 (#47)

BenchmarkGLM-4.5-AirMiMo-V2.6-Flash
LMArena Vision—1259

Multilingual MiMo-V2.6-Flash leads

GLM-4.5-Air: 49.1 (#135), MiMo-V2.6-Flash: 54.0 (#51)

BenchmarkGLM-4.5-AirMiMo-V2.6-Flash
LMArena Non-English13661434
LMArena Chinese14261511
LMArena French13991475
LMArena Russian13731409
LMArena Spanish13861456
LMArena German1377—
LMArena Japanese1348—
LMArena Korean1308—

Instruction Following MiMo-V2.6-Flash leads

GLM-4.5-Air: 69.6 (#171), MiMo-V2.6-Flash: 76.8 (#35)

BenchmarkGLM-4.5-AirMiMo-V2.6-Flash
LMArena Instruction Following13541463
IFEval81.2%—

Long Context MiMo-V2.6-Flash leads

GLM-4.5-Air: 41.6 (#135), MiMo-V2.6-Flash: 44.8 (#57)

BenchmarkGLM-4.5-AirMiMo-V2.6-Flash
LMArena Longer Query13661463

Writing & Preference MiMo-V2.6-Flash leads

GLM-4.5-Air: 55.9 (#139), MiMo-V2.6-Flash: 63.1 (#67)

BenchmarkGLM-4.5-AirMiMo-V2.6-Flash
LMArena Text13841455
LMArena Creative Writing13431400
LMArena Multi-Turn13711451
WildBench78.9%—

Frequently asked questions

Is GLM-4.5-Air better than MiMo-V2.6-Flash?

MiMo-V2.6-Flash is the stronger model overall, scoring 48.5 to 38.9 on the Noometry Index.

Which is cheaper, GLM-4.5-Air 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-4.5-Air lists at $0.20 and $1.10.

Is GLM-4.5-Air or MiMo-V2.6-Flash better for coding?

MiMo-V2.6-Flash scores higher on coding benchmarks: 53.4 versus 33.3 in the Noometry coding category.

Which has the bigger context window?

MiMo-V2.6-Flash does, with 1.05M tokens against 131K.

How many benchmarks do GLM-4.5-Air and MiMo-V2.6-Flash share?

14 benchmarks have published results for both models. GLM-4.5-Air has 27 scored results on Noometry and MiMo-V2.6-Flash has 19.

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