Noometry

Model comparison

GLM-4.7-Flash vs GPT-4.1

GLM-4.7-Flash is the stronger model overall, scoring 38.8 to 35.9 on the Noometry Index.

Last verified . 21 shared benchmarks.

GLM-4.7-Flash Z.ai (Zhipu)

38.8

Rank #180 Confirmed

GPT-4.1 OpenAI

35.9

Rank #219 Confirmed

Summary

  • They share 21 benchmarks with published results for both. GLM-4.7-Flash scores higher in 4 categories and GPT-4.1 in 4 categories; 7 gaps are clear of the uncertainty.
  • The widest gap is in math, where GLM-4.7-Flash leads 36.1 to 22.3.
  • The biggest single-benchmark swing is OTIS Mock AIME 2024-2025: 58.3% for GLM-4.7-Flash and 38.3% for GPT-4.1.
  • GLM-4.7-Flash is cheaper at $0.06 / $0.40 per million input/output tokens, against $2 / $8 for GPT-4.1.
  • GPT-4.1 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
ProviderZ.ai (Zhipu)OpenAI
Noometry Index38.835.9
Released2026-01-192025-04-14
WeightsOpenProprietary
Context window200K1.05M
Max output131K33K
Input $ / M tokens$0.06$2
Output $ / M tokens$0.40$8
Results tracked2152

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Category by category

Coding GLM-4.7-Flash leads

GLM-4.7-Flash: 40.6 (#135), GPT-4.1: 34.4 (#238)

BenchmarkGLM-4.7-FlashGPT-4.1
LMArena Coding13831391
SWE-bench Verified—48.5%
SWE-bench Verified (bash only)—39.6%
Aider Polyglot—52.4%
WeirdML—39%
CadEval—42%
ALE-Bench—558.1

Agentic & Tool Use Not comparable

GLM-4.7-Flash: —, GPT-4.1: 34.7 (#43)

BenchmarkGLM-4.7-FlashGPT-4.1
Berkeley Function Calling Leaderboard—54%

Reasoning GLM-4.7-Flash leads

GLM-4.7-Flash: 20.9 (#229), GPT-4.1: 11.7 (#339)

BenchmarkGLM-4.7-FlashGPT-4.1
Chess Puzzles0%6%
LMArena Hard Prompts13561384
ARC-AGI-2—0.4%
SimpleBench—27%
Kagi LLM Benchmark—52.3%
ARC-AGI-1—5.5%
EnigmaEval—2.2%
DTBench—68.3%
LMCA—25.6%
Epoch Capabilities Index—136.78
ForecastBench—61.5

Math GLM-4.7-Flash leads

GLM-4.7-Flash: 36.1 (#173), GPT-4.1: 22.3 (#280)

BenchmarkGLM-4.7-FlashGPT-4.1
OTIS Mock AIME 2024-202558.3%38.3%
LMArena Math13551370
FrontierMath (Tiers 1-3)—6%
Omni-MATH—47.1%
MATH Level 5—83%
FrontierMath (Feb 2025 set)—5.5%
FrontierMath Tier 4 (v1)—0%

Knowledge GPT-4.1 leads

GLM-4.7-Flash: 35.5 (#184), GPT-4.1: 37.1 (#160)

BenchmarkGLM-4.7-FlashGPT-4.1
GPQA Diamond60.5%66.9%
Vectara Hallucination Rate9.3%5.6%
LMArena Expert13571364
Humanity's Last Exam—5.4%
SimpleQA Verified—31.1%
MMLU-Pro—81.1%
GPQA (HELM)—65.9%

Multimodal Not comparable

GLM-4.7-Flash: —, GPT-4.1: 38.2 (#67)

BenchmarkGLM-4.7-FlashGPT-4.1
LMArena Vision—1211
GeoBench—72%

Multilingual GPT-4.1 leads

GLM-4.7-Flash: 46.5 (#158), GPT-4.1: 49.4 (#133)

BenchmarkGLM-4.7-FlashGPT-4.1
LMArena Non-English13301370
LMArena Chinese14031382
LMArena French13321382
LMArena German13371381
LMArena Korean12831339
LMArena Russian13321377
LMArena Spanish13501376
LMArena Japanese—1319

Instruction Following GPT-4.1 leads

GLM-4.7-Flash: 70.1 (#167), GPT-4.1: 71.3 (#153)

BenchmarkGLM-4.7-FlashGPT-4.1
LMArena Instruction Following13271367
IFEval—83.8%

Long Context Too close to call

GLM-4.7-Flash: 40.9 (#148), GPT-4.1: 40.0 (#163)

BenchmarkGLM-4.7-FlashGPT-4.1
LMArena Longer Query13451385
Fiction.LiveBench—63.9%

Writing & Preference GPT-4.1 leads

GLM-4.7-Flash: 47.4 (#210), GPT-4.1: 57.6 (#125)

BenchmarkGLM-4.7-FlashGPT-4.1
LMArena Text13511383
LMArena Creative Writing12971363
EQ-Bench Creative Writing11251420
LMArena Multi-Turn13421398
WildBench—85.4%

Frequently asked questions

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

GLM-4.7-Flash is the stronger model overall, scoring 38.8 to 35.9 on the Noometry Index.

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

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 lists at $2 and $8.

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

GLM-4.7-Flash scores higher on coding benchmarks: 40.6 versus 34.4 in the Noometry coding category.

Which has the bigger context window?

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

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

21 benchmarks have published results for both models. GLM-4.7-Flash has 21 scored results on Noometry and GPT-4.1 has 52.

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