Noometry

Model comparison

GLM-4.5V vs GPT-5.4 nano

GPT-5.4 nano is the stronger model overall, scoring 41.9 to 39.2 on the Noometry Index.

Last verified . 15 shared benchmarks.

GLM-4.5V Z.ai (Zhipu)

39.2

Rank #158 Confirmed

GPT-5.4 nano OpenAI

41.9

Rank #111 Confirmed

Summary

  • They share 15 benchmarks with published results for both. GLM-4.5V scores higher in 1 category and GPT-5.4 nano in 8 categories; 9 gaps are clear of the uncertainty.
  • The widest gap is in math, where GPT-5.4 nano leads 40.7 to 34.7.
  • The biggest single-benchmark swing is Kagi LLM Benchmark: 59.8% for GLM-4.5V and 39.7% for GPT-5.4 nano.
  • GPT-5.4 nano is cheaper at $0.20 / $1.25 per million input/output tokens, against $0.60 / $1.80 for GLM-4.5V.
  • GPT-5.4 nano accepts more context: 400K tokens versus 64K.
  • GLM-4.5V has downloadable open weights; the other is API-only.

Side by side

GLM-4.5VGPT-5.4 nano
ProviderZ.ai (Zhipu)OpenAI
Noometry Index39.241.9
Released2025-08-112026-03-17
WeightsOpenProprietary
Context window64K400K
Max output16K128K
Input $ / M tokens$0.60$0.20
Output $ / M tokens$1.80$1.25
Results tracked1540

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Category by category

Coding GPT-5.4 nano leads

GLM-4.5V: 38.9 (#152), GPT-5.4 nano: 43.1 (#82)

BenchmarkGLM-4.5VGPT-5.4 nano
LMArena Coding13471404
SciCode—46.9%
WeirdML—49.2%
ALE-Bench—1,005

Reasoning GLM-4.5V leads

GLM-4.5V: 26.5 (#118), GPT-5.4 nano: 23.8 (#159)

BenchmarkGLM-4.5VGPT-5.4 nano
Kagi LLM Benchmark59.8%39.7%
LMArena Hard Prompts13351380
ARC-AGI-2—5.7%
ARC-AGI-1—51.5%
CritPt—9.3%
Chess Puzzles—30%
Mystery Game Puzzles—9%
DTBench—80.3%
LMCA—36.9%
Epoch Capabilities Index—145.78
ForecastBench—57.3

Math GPT-5.4 nano leads

GLM-4.5V: 34.7 (#157), GPT-5.4 nano: 40.7 (#76)

BenchmarkGLM-4.5VGPT-5.4 nano
LMArena Math13531406
FrontierMath (Tiers 1-3)—44.9%
FrontierMath Tier 4—12.2%
OTIS Mock AIME 2024-2025—87.8%
ProofBench—5%
FrontierMath (Feb 2025 set)—25.9%
FrontierMath Tier 4 (v1)—6.3%

Knowledge GPT-5.4 nano leads

GLM-4.5V: 36.8 (#155), GPT-5.4 nano: 41.8 (#94)

BenchmarkGLM-4.5VGPT-5.4 nano
LMArena Expert13531397
GPQA Diamond—78.5%
SimpleQA Verified—11.7%
Vectara Hallucination Rate—3.1%

Multimodal GPT-5.4 nano leads

GLM-4.5V: 33.6 (#86), GPT-5.4 nano: 36.0 (#73)

BenchmarkGLM-4.5VGPT-5.4 nano
LMArena Vision11541196

Multilingual GPT-5.4 nano leads

GLM-4.5V: 44.9 (#172), GPT-5.4 nano: 48.8 (#136)

BenchmarkGLM-4.5VGPT-5.4 nano
LMArena Non-English13041359
LMArena Chinese13381391
LMArena Russian12991363
LMArena Spanish13351368
LMArena French—1396
LMArena German—1368
LMArena Japanese—1342
LMArena Korean—1321

Instruction Following GPT-5.4 nano leads

GLM-4.5V: 69.4 (#170), GPT-5.4 nano: 72.1 (#139)

BenchmarkGLM-4.5VGPT-5.4 nano
LMArena Instruction Following13111362

Long Context GPT-5.4 nano leads

GLM-4.5V: 39.6 (#166), GPT-5.4 nano: 41.6 (#131)

BenchmarkGLM-4.5VGPT-5.4 nano
LMArena Longer Query13051365

Writing & Preference GPT-5.4 nano leads

GLM-4.5V: 52.7 (#162), GPT-5.4 nano: 55.9 (#137)

BenchmarkGLM-4.5VGPT-5.4 nano
LMArena Text13331372
LMArena Creative Writing12951313
LMArena Multi-Turn13331382

Frequently asked questions

Is GLM-4.5V better than GPT-5.4 nano?

GPT-5.4 nano is the stronger model overall, scoring 41.9 to 39.2 on the Noometry Index.

Which is cheaper, GLM-4.5V or GPT-5.4 nano?

GPT-5.4 nano is cheaper. It lists at $0.20 per million input tokens and $1.25 per million output tokens; GLM-4.5V lists at $0.60 and $1.80.

Is GLM-4.5V or GPT-5.4 nano better for coding?

GPT-5.4 nano scores higher on coding benchmarks: 43.1 versus 38.9 in the Noometry coding category.

Which has the bigger context window?

GPT-5.4 nano does, with 400K tokens against 64K.

How many benchmarks do GLM-4.5V and GPT-5.4 nano share?

15 benchmarks have published results for both models. GLM-4.5V has 15 scored results on Noometry and GPT-5.4 nano has 40.

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