Noometry

Model comparison

GLM-4.5-Air vs GLM-4.7

GLM-4.7 is the stronger model overall, scoring 42.0 to 38.9 on the Noometry Index. GLM-4.5-Air costs 2.4× less per token, which makes it the better buy when GLM-4.7's lead doesn't matter for your workload.

Last verified . 18 shared benchmarks.

GLM-4.5-Air Z.ai (Zhipu)

38.9

Rank #177 Confirmed

GLM-4.7 Z.ai (Zhipu)

42.0

Rank #124 Confirmed

Summary

  • They share 18 benchmarks with published results for both. GLM-4.5-Air scores higher in 0 categories and GLM-4.7 in 8 categories; 7 gaps are clear of the uncertainty.
  • The widest gap is in knowledge, where GLM-4.7 leads 47.0 to 35.0.
  • GLM-4.5-Air is cheaper at $0.20 / $1.10 per million input/output tokens, against $0.60 / $2.20 for GLM-4.7.
  • GLM-4.7 accepts more context: 205K tokens versus 131K.

Side by side

GLM-4.5-AirGLM-4.7
ProviderZ.ai (Zhipu)Z.ai (Zhipu)
Noometry Index38.942.0
Released2025-07-202025-12-22
WeightsOpenOpen
Context window131K205K
Max output98K131K
Input $ / M tokens$0.20$0.60
Output $ / M tokens$1.10$2.20
Results tracked2736

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Category by category

Coding GLM-4.7 leads

GLM-4.5-Air: 33.3 (#259), GLM-4.7: 44.0 (#79)

BenchmarkGLM-4.5-AirGLM-4.7
LMArena Coding13971454
LMArena WebDev—1435
SciCode—45.1%
GSO2.9%—
ALE-Bench—399.48

Agentic & Tool Use Not comparable

GLM-4.5-Air: —, GLM-4.7: 26.5 (#103)

BenchmarkGLM-4.5-AirGLM-4.7
Terminal-Bench—33.4%
Vending-Bench 2—2,377

Reasoning Too close to call

GLM-4.5-Air: 24.1 (#166), GLM-4.7: 24.3 (#164)

BenchmarkGLM-4.5-AirGLM-4.7
LMArena Hard Prompts13791443
SimpleBench—47.7%
Kagi LLM Benchmark43%—
CritPt—1.7%
Chess Puzzles—6%
Epoch Capabilities Index—143.51
ForecastBench59.2—

Math GLM-4.7 leads

GLM-4.5-Air: 36.2 (#170), GLM-4.7: 38.6 (#135)

BenchmarkGLM-4.5-AirGLM-4.7
LMArena Math13961423
OTIS Mock AIME 2024-2025—83.3%
ProofBench—6%
Omni-MATH39.1%—
FrontierMath (Feb 2025 set)—2.4%
FrontierMath Tier 4 (v1)—0%

Knowledge GLM-4.7 leads

GLM-4.5-Air: 35.0 (#191), GLM-4.7: 47.0 (#80)

BenchmarkGLM-4.5-AirGLM-4.7
Vectara Hallucination Rate9.3%11.7%
LMArena Expert13701424
GPQA Diamond—83.3%
Humanity's Last Exam8.1%—
SimpleQA Verified—32.2%
MMLU-Pro76.2%—
GPQA (HELM)59.4%—

Multilingual GLM-4.7 leads

GLM-4.5-Air: 49.1 (#135), GLM-4.7: 52.8 (#79)

BenchmarkGLM-4.5-AirGLM-4.7
LMArena Non-English13661417
LMArena Chinese14261495
LMArena French13991432
LMArena German13771424
LMArena Japanese13481439
LMArena Korean13081399
LMArena Russian13731423
LMArena Spanish13861434

Instruction Following GLM-4.7 leads

GLM-4.5-Air: 69.6 (#171), GLM-4.7: 74.4 (#95)

BenchmarkGLM-4.5-AirGLM-4.7
LMArena Instruction Following13541411
IFEval81.2%—

Long Context GLM-4.7 leads

GLM-4.5-Air: 41.6 (#135), GLM-4.7: 42.8 (#116)

BenchmarkGLM-4.5-AirGLM-4.7
LMArena Longer Query13661432
CL-bench—15.9%
CL-bench Life—10.9%

Writing & Preference GLM-4.7 leads

GLM-4.5-Air: 55.9 (#139), GLM-4.7: 60.9 (#93)

BenchmarkGLM-4.5-AirGLM-4.7
LMArena Text13841435
LMArena Creative Writing13431401
LMArena Multi-Turn13711446
EQ-Bench Creative Writing—1413
WildBench78.9%—

Frequently asked questions

Is GLM-4.5-Air better than GLM-4.7?

GLM-4.7 is the stronger model overall, scoring 42.0 to 38.9 on the Noometry Index. GLM-4.5-Air costs 2.4× less per token, which makes it the better buy when GLM-4.7's lead doesn't matter for your workload.

Which is cheaper, GLM-4.5-Air or GLM-4.7?

GLM-4.5-Air is cheaper. It lists at $0.20 per million input tokens and $1.10 per million output tokens; GLM-4.7 lists at $0.60 and $2.20.

Is GLM-4.5-Air or GLM-4.7 better for coding?

GLM-4.7 scores higher on coding benchmarks: 44.0 versus 33.3 in the Noometry coding category.

Which has the bigger context window?

GLM-4.7 does, with 205K tokens against 131K.

How many benchmarks do GLM-4.5-Air and GLM-4.7 share?

18 benchmarks have published results for both models. GLM-4.5-Air has 27 scored results on Noometry and GLM-4.7 has 36.

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