Model comparison

GLM-5.3-Flash vs GPT-5.2 Pro

GLM-5.3-Flash and GPT-5.2 Pro score almost the same on the Noometry Index (51.8 vs 52.3), so choose on price, context window or the category you care about most.

Last verified . 5 shared benchmarks.

GLM-5.3-Flash Z.ai (Zhipu)

51.8

Rank #41 Confirmed

GPT-5.2 Pro OpenAI

52.3

Rank #39 Reported

Summary

  • They share 5 benchmarks with published results for both. GLM-5.3-Flash scores higher in 0 categories and GPT-5.2 Pro in 2 categories; 2 gaps are clear of the uncertainty.
  • The widest gap is in math, where GPT-5.2 Pro leads 65.3 to 53.3.
  • The biggest single-benchmark swing is FrontierMath Tier 4: 17.1% for GLM-5.3-Flash and 46% for GPT-5.2 Pro.
  • GLM-5.3-Flash is cheaper at $0.15 / $0.50 per million input/output tokens, against $21 / $168 for GPT-5.2 Pro.
  • GLM-5.3-Flash accepts more context: 1M tokens versus 400K.
  • GLM-5.3-Flash has downloadable open weights; the other is API-only.

Side by side

GLM-5.3-Flash and GPT-5.2 Pro specifications
GLM-5.3-FlashGPT-5.2 Pro
ProviderZ.ai (Zhipu)OpenAI
Noometry Index51.852.3
Released2026-08-202025-12-11
WeightsOpenProprietary
Context window1M400K
Max output131K128K
Input $ / M tokens$0.15$21
Output $ / M tokens$0.50$168
Results tracked408

Sponsored placements are available on pages like this one. Advertise on Noometry

Category by category

Coding Not comparable

GLM-5.3-Flash: 53.1 (#31), GPT-5.2 Pro: —

Coding benchmarks
BenchmarkGLM-5.3-FlashGPT-5.2 Pro
DeepSWE63.4%—
FrontierCode31.8%—
CursorBench36.8%—
LMArena WebDev1609—
FrontierSWE18.1%—
SciCode51.6%—
LMArena Coding1508—
ALE-Bench303.55—

Agentic & Tool Use Not comparable

GLM-5.3-Flash: 34.2 (#47), GPT-5.2 Pro: —

Agentic & Tool Use benchmarks
BenchmarkGLM-5.3-FlashGPT-5.2 Pro
APEX-Agents52.8%—
GDP.pdf14%—

Reasoning GPT-5.2 Pro leads

GLM-5.3-Flash: 48.0 (#42), GPT-5.2 Pro: 51.5 (#33)

Reasoning benchmarks
BenchmarkGLM-5.3-FlashGPT-5.2 Pro
ARC-AGI-265.8%54.2%
ARC-AGI-191%90.5%
Epoch Capabilities Index151.88155.4
SimpleBench—57.4%
NYT Connections (extended)—79.3%
CritPt15.4%—
Chess Puzzles14%—
LMArena Hard Prompts1491—
Mystery Game Puzzles8%—
Surface Evolver Bench52.5%—
Bench to the Future 30.15—

Math GPT-5.2 Pro leads

GLM-5.3-Flash: 53.3 (#47), GPT-5.2 Pro: 65.3 (#29)

Math benchmarks
BenchmarkGLM-5.3-FlashGPT-5.2 Pro
FrontierMath (Tiers 1-3)55.8%74%
FrontierMath Tier 417.1%46%
OTIS Mock AIME 2024-202593.9%—
ProofBench21%—
LMArena Math1500—
FrontierMath Tier 4 (v1)—31.3%

Knowledge Not comparable

GLM-5.3-Flash: 58.4 (#36), GPT-5.2 Pro: —

Knowledge benchmarks
BenchmarkGLM-5.3-FlashGPT-5.2 Pro
GPQA Diamond90.2%—
LMArena Expert1513—

Multimodal Not comparable

GLM-5.3-Flash: 42.8 (#27), GPT-5.2 Pro: —

Multimodal benchmarks
BenchmarkGLM-5.3-FlashGPT-5.2 Pro
LMArena Vision1296—

Multilingual Not comparable

GLM-5.3-Flash: 56.0 (#25), GPT-5.2 Pro: —

Multilingual benchmarks
BenchmarkGLM-5.3-FlashGPT-5.2 Pro
LMArena Non-English1462—
LMArena Chinese1527—
LMArena French1496—
LMArena German1470—
LMArena Japanese1429—
LMArena Korean1446—
LMArena Russian1469—
LMArena Spanish1471—

Instruction Following Not comparable

GLM-5.3-Flash: 77.5 (#20), GPT-5.2 Pro: —

Instruction Following benchmarks
BenchmarkGLM-5.3-FlashGPT-5.2 Pro
LMArena Instruction Following1478—

Long Context Not comparable

GLM-5.3-Flash: 45.4 (#39), GPT-5.2 Pro: —

Long Context benchmarks
BenchmarkGLM-5.3-FlashGPT-5.2 Pro
LMArena Longer Query1482—

Writing & Preference Not comparable

GLM-5.3-Flash: 65.3 (#50), GPT-5.2 Pro: —

Writing & Preference benchmarks
BenchmarkGLM-5.3-FlashGPT-5.2 Pro
LMArena Text1471—
LMArena Creative Writing1442—
LMArena Multi-Turn1467—

Frequently asked questions

Is GLM-5.3-Flash better than GPT-5.2 Pro?

GLM-5.3-Flash and GPT-5.2 Pro score almost the same on the Noometry Index (51.8 vs 52.3), so choose on price, context window or the category you care about most.

Which is cheaper, GLM-5.3-Flash or GPT-5.2 Pro?

GLM-5.3-Flash is cheaper. It lists at $0.15 per million input tokens and $0.50 per million output tokens; GPT-5.2 Pro lists at $21 and $168.

Which has the bigger context window?

GLM-5.3-Flash does, with 1M tokens against 400K.

How many benchmarks do GLM-5.3-Flash and GPT-5.2 Pro share?

5 benchmarks have published results for both models. GLM-5.3-Flash has 40 scored results on Noometry and GPT-5.2 Pro has 8.

Related comparisons

Go deeper