Model comparison

GLM-4.5-Air vs Step 3.5 Flash

Step 3.5 Flash is the stronger model overall, scoring 41.7 to 38.7 on the Noometry Index.

Last verified . 17 shared benchmarks.

GLM-4.5-Air Z.ai (Zhipu)

38.7

Rank #169 Confirmed

Step 3.5 Flash StepFun

41.7

Rank #116 Confirmed

Summary

  • They share 17 benchmarks with published results for both. GLM-4.5-Air scores higher in 1 category and Step 3.5 Flash in 7 categories; 8 gaps are clear of the uncertainty.
  • The widest gap is in coding, where Step 3.5 Flash leads 41.7 to 34.5.
  • Step 3.5 Flash is cheaper at $0.10 / $0.30 per million input/output tokens, against $0.20 / $1.10 for GLM-4.5-Air.
  • Step 3.5 Flash accepts more context: 256K tokens versus 131K.

Side by side

GLM-4.5-Air and Step 3.5 Flash specifications
GLM-4.5-AirStep 3.5 Flash
ProviderZ.ai (Zhipu)StepFun
Noometry Index38.741.7
Released2025-07-202026-01-29
WeightsOpenOpen
Context window131K256K
Max output98K256K
Input $ / M tokens$0.20$0.10
Output $ / M tokens$1.10$0.30
Results tracked2719

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Category by category

Coding Step 3.5 Flash leads

GLM-4.5-Air: 34.5 (#225), Step 3.5 Flash: 41.7 (#106)

Coding benchmarks
BenchmarkGLM-4.5-AirStep 3.5 Flash
LMArena Coding13971436
GSO2.9%—

Reasoning GLM-4.5-Air leads

GLM-4.5-Air: 23.3 (#166), Step 3.5 Flash: 21.2 (#202)

Reasoning benchmarks
BenchmarkGLM-4.5-AirStep 3.5 Flash
LMArena Hard Prompts13791411
Kagi LLM Benchmark43%—
NYT Connections (extended)—28.4%
ForecastBench59.2—

Math Step 3.5 Flash leads

GLM-4.5-Air: 33.8 (#166), Step 3.5 Flash: 40.6 (#77)

Math benchmarks
BenchmarkGLM-4.5-AirStep 3.5 Flash
LMArena Math13961408
MathArena Final-Answer Competitions—66.8%
Omni-MATH39.1%—

Knowledge Step 3.5 Flash leads

GLM-4.5-Air: 34.6 (#184), Step 3.5 Flash: 39.0 (#127)

Knowledge benchmarks
BenchmarkGLM-4.5-AirStep 3.5 Flash
LMArena Expert13701422
Humanity's Last Exam8.1%—
MMLU-Pro76.2%—
Vectara Hallucination Rate9.3%—
GPQA (HELM)59.4%—

Multilingual Step 3.5 Flash leads

GLM-4.5-Air: 49.4 (#130), Step 3.5 Flash: 50.7 (#115)

Multilingual benchmarks
BenchmarkGLM-4.5-AirStep 3.5 Flash
LMArena Non-English13661386
LMArena Chinese14271448
LMArena French13991421
LMArena German13761404
LMArena Japanese13481353
LMArena Korean13061350
LMArena Russian13731385
LMArena Spanish13851419

Instruction Following Step 3.5 Flash leads

GLM-4.5-Air: 69.8 (#165), Step 3.5 Flash: 73.3 (#119)

Instruction Following benchmarks
BenchmarkGLM-4.5-AirStep 3.5 Flash
LMArena Instruction Following13531385
IFEval81.2%—

Long Context Step 3.5 Flash leads

GLM-4.5-Air: 41.6 (#130), Step 3.5 Flash: 42.8 (#112)

Long Context benchmarks
BenchmarkGLM-4.5-AirStep 3.5 Flash
LMArena Longer Query13671402

Writing & Preference Step 3.5 Flash leads

GLM-4.5-Air: 56.1 (#134), Step 3.5 Flash: 59.0 (#108)

Writing & Preference benchmarks
BenchmarkGLM-4.5-AirStep 3.5 Flash
LMArena Text13841403
LMArena Creative Writing13431357
LMArena Multi-Turn13711405
WildBench78.9%—

Frequently asked questions

Is GLM-4.5-Air better than Step 3.5 Flash?

Step 3.5 Flash is the stronger model overall, scoring 41.7 to 38.7 on the Noometry Index.

Which is cheaper, GLM-4.5-Air or Step 3.5 Flash?

Step 3.5 Flash is cheaper. It lists at $0.10 per million input tokens and $0.30 per million output tokens; GLM-4.5-Air lists at $0.20 and $1.10.

Is GLM-4.5-Air or Step 3.5 Flash better for coding?

Step 3.5 Flash scores higher on coding benchmarks: 41.7 versus 34.5 in the Noometry coding category.

Which has the bigger context window?

Step 3.5 Flash does, with 256K tokens against 131K.

How many benchmarks do GLM-4.5-Air and Step 3.5 Flash share?

17 benchmarks have published results for both models. GLM-4.5-Air has 27 scored results on Noometry and Step 3.5 Flash has 19.

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