Noometry

Model comparison

GLM-4.7-Flash vs GPT-4.1 nano

GLM-4.7-Flash is the stronger model overall, scoring 38.4 to 27.7 on the Noometry Index.

Last verified . 16 shared benchmarks.

GLM-4.7-Flash Z.ai (Zhipu)

38.4

Rank #175 Confirmed

GPT-4.1 nano OpenAI

27.7

Rank #322 Confirmed

Summary

  • They share 16 benchmarks with published results for both. GLM-4.7-Flash scores higher in 8 categories and GPT-4.1 nano in 0 categories; 8 gaps are clear of the uncertainty.
  • The widest gap is in long context, where GLM-4.7-Flash leads 40.9 to 23.7.
  • The biggest single-benchmark swing is OTIS Mock AIME 2024-2025: 58.3% for GLM-4.7-Flash and 28.9% for GPT-4.1 nano.
  • GLM-4.7-Flash is cheaper at $0.06 / $0.40 per million input/output tokens, against $0.10 / $0.40 for GPT-4.1 nano.
  • GPT-4.1 nano accepts more context: 1.05M tokens versus 200K.
  • GLM-4.7-Flash has downloadable open weights; the other is API-only.

Side by side

GLM-4.7-FlashGPT-4.1 nano
ProviderZ.ai (Zhipu)OpenAI
Noometry Index38.427.7
Released2026-01-192025-04-14
WeightsOpenProprietary
Context window200K1.05M
Max output131K33K
Input $ / M tokens$0.06$0.10
Output $ / M tokens$0.40$0.40
Results tracked2138

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Category by category

Coding GLM-4.7-Flash leads

GLM-4.7-Flash: 40.0 (#133), GPT-4.1 nano: 23.8 (#325)

BenchmarkGLM-4.7-FlashGPT-4.1 nano
LMArena Coding13831306
Aider Polyglot—8.9%
SciCode—25.9%
WeirdML—19%

Agentic & Tool Use Not comparable

GLM-4.7-Flash: —, GPT-4.1 nano: 26.3 (#98)

BenchmarkGLM-4.7-FlashGPT-4.1 nano
Berkeley Function Calling Leaderboard—33%

Reasoning GLM-4.7-Flash leads

GLM-4.7-Flash: 20.2 (#224), GPT-4.1 nano: 8.6 (#344)

BenchmarkGLM-4.7-FlashGPT-4.1 nano
LMArena Hard Prompts13561286
ARC-AGI-2—0%
Kagi LLM Benchmark—33.3%
ARC-AGI-1—0%
CritPt—0%
Chess Puzzles0%—
DTBench—52.5%
LMCA—5.5%
Epoch Capabilities Index—129.62

Math GLM-4.7-Flash leads

GLM-4.7-Flash: 34.4 (#159), GPT-4.1 nano: 25.5 (#246)

BenchmarkGLM-4.7-FlashGPT-4.1 nano
OTIS Mock AIME 2024-202558.3%28.9%
LMArena Math13541274
Omni-MATH—36.7%
MATH Level 5—70%
FrontierMath (Feb 2025 set)—1%

Knowledge GLM-4.7-Flash leads

GLM-4.7-Flash: 35.4 (#177), GPT-4.1 nano: 21.8 (#268)

BenchmarkGLM-4.7-FlashGPT-4.1 nano
GPQA Diamond60.5%48.9%
LMArena Expert13571272
SimpleQA Verified—6%
MMLU-Pro—55%
Vectara Hallucination Rate9.3%—
GPQA (HELM)—50.7%

Multimodal Not comparable

GLM-4.7-Flash: —, GPT-4.1 nano: 28.6 (#108)

BenchmarkGLM-4.7-FlashGPT-4.1 nano
LMArena Vision—1063

Multilingual GLM-4.7-Flash leads

GLM-4.7-Flash: 46.8 (#152), GPT-4.1 nano: 41.8 (#200)

BenchmarkGLM-4.7-FlashGPT-4.1 nano
LMArena Non-English13311260
LMArena Chinese14031270
LMArena German13361288
LMArena Russian13331261
LMArena French1332—
LMArena Japanese—1199
LMArena Korean1284—
LMArena Spanish1351—

Instruction Following GLM-4.7-Flash leads

GLM-4.7-Flash: 70.3 (#162), GPT-4.1 nano: 68.0 (#188)

BenchmarkGLM-4.7-FlashGPT-4.1 nano
LMArena Instruction Following13271267
IFEval—84.3%

Long Context GLM-4.7-Flash leads

GLM-4.7-Flash: 40.9 (#143), GPT-4.1 nano: 23.7 (#291)

BenchmarkGLM-4.7-FlashGPT-4.1 nano
LMArena Longer Query13451283
Fiction.LiveBench—25%

Writing & Preference GLM-4.7-Flash leads

GLM-4.7-Flash: 47.7 (#206), GPT-4.1 nano: 40.7 (#238)

BenchmarkGLM-4.7-FlashGPT-4.1 nano
LMArena Text13511285
LMArena Creative Writing12971260
EQ-Bench Creative Writing1125946
LMArena Multi-Turn13421277
WildBench—81.2%

Frequently asked questions

Is GLM-4.7-Flash better than GPT-4.1 nano?

GLM-4.7-Flash is the stronger model overall, scoring 38.4 to 27.7 on the Noometry Index.

Which is cheaper, GLM-4.7-Flash or GPT-4.1 nano?

GLM-4.7-Flash is cheaper. It lists at $0.06 per million input tokens and $0.40 per million output tokens; GPT-4.1 nano lists at $0.10 and $0.40.

Is GLM-4.7-Flash or GPT-4.1 nano better for coding?

GLM-4.7-Flash scores higher on coding benchmarks: 40.0 versus 23.8 in the Noometry coding category.

Which has the bigger context window?

GPT-4.1 nano does, with 1.05M tokens against 200K.

How many benchmarks do GLM-4.7-Flash and GPT-4.1 nano share?

16 benchmarks have published results for both models. GLM-4.7-Flash has 21 scored results on Noometry and GPT-4.1 nano has 38.

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