Model comparison

Chatgpt 4o Latest 20250326 vs GLM-5.1

GLM-5.1 is the stronger model overall, scoring 47.8 to 43.8 on the Noometry Index.

Last verified . 18 shared benchmarks.

Chatgpt 4o Latest 20250326 OpenAI

43.8

Rank #82 Confirmed

GLM-5.1 Z.ai (Zhipu)

47.8

Rank #59 Confirmed

Summary

  • They share 18 benchmarks with published results for both. Chatgpt 4o Latest 20250326 scores higher in 0 categories and GLM-5.1 in 8 categories; 8 gaps are clear of the uncertainty.
  • The widest gap is in knowledge, where GLM-5.1 leads 54.9 to 39.2.
  • GLM-5.1 has downloadable open weights; the other is API-only.

Side by side

Chatgpt 4o Latest 20250326 and GLM-5.1 specifications
Chatgpt 4o Latest 20250326GLM-5.1
ProviderOpenAIZ.ai (Zhipu)
Noometry Index43.847.8
Released—2026-04-07
WeightsProprietaryOpen
Context window—200K
Max output—131K
Input $ / M tokens—$1.40
Output $ / M tokens—$4.40
Results tracked2141

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Category by category

Coding GLM-5.1 leads

Chatgpt 4o Latest 20250326: 41.6 (#122), GLM-5.1: 48.7 (#55)

Coding benchmarks
BenchmarkChatgpt 4o Latest 20250326GLM-5.1
LMArena Coding14131485
SWE-bench Verified—74.2%
LMArena WebDev—1508
SciCode—43.8%
WeirdML—57.1%
ALE-Bench—887.1

Agentic & Tool Use Not comparable

Chatgpt 4o Latest 20250326: —, GLM-5.1: 24.9 (#113)

Agentic & Tool Use benchmarks
BenchmarkChatgpt 4o Latest 20250326GLM-5.1
APEX-Agents—40.9%
ExploitBench—18.1%
GBAEval—0%
Vending-Bench 2—5,634

Reasoning GLM-5.1 leads

Chatgpt 4o Latest 20250326: 33.8 (#71), GLM-5.1: 39.1 (#60)

Reasoning benchmarks
BenchmarkChatgpt 4o Latest 20250326GLM-5.1
LMArena Hard Prompts14241472
SimpleBench—55.1%
Kagi LLM Benchmark75%—
NYT Connections (extended)—77.7%
CritPt—4.6%
Chess Puzzles—19%
Thematic Generalization—69.8%
Epoch Capabilities Index—149.84

Math GLM-5.1 leads

Chatgpt 4o Latest 20250326: 38.6 (#134), GLM-5.1: 49.7 (#60)

Math benchmarks
BenchmarkChatgpt 4o Latest 20250326GLM-5.1
LMArena Math14071473
FrontierMath (Tiers 1-3)—36.8%
MathArena Final-Answer Competitions—67.1%
OTIS Mock AIME 2024-2025—93.3%
ProofBench—22.2%
FrontierMath (Feb 2025 set)—33.4%
FrontierMath Tier 4 (v1)—12.5%

Knowledge GLM-5.1 leads

Chatgpt 4o Latest 20250326: 39.2 (#137), GLM-5.1: 54.9 (#50)

Knowledge benchmarks
BenchmarkChatgpt 4o Latest 20250326GLM-5.1
LMArena Expert14011476
GPQA Diamond—89.9%
SimpleQA Verified—34%
Confabulations16.6%—

Multimodal Not comparable

Chatgpt 4o Latest 20250326: 39.6 (#58), GLM-5.1: —

Multimodal benchmarks
BenchmarkChatgpt 4o Latest 20250326GLM-5.1
LMArena Vision1243—

Multilingual GLM-5.1 leads

Chatgpt 4o Latest 20250326: 52.9 (#76), GLM-5.1: 55.0 (#36)

Multilingual benchmarks
BenchmarkChatgpt 4o Latest 20250326GLM-5.1
LMArena Non-English14191447
LMArena Chinese14571515
LMArena French14461474
LMArena German14231465
LMArena Japanese14051434
LMArena Korean13961418
LMArena Russian14291454
LMArena Spanish14341469

Instruction Following GLM-5.1 leads

Chatgpt 4o Latest 20250326: 74.0 (#107), GLM-5.1: 76.3 (#42)

Instruction Following benchmarks
BenchmarkChatgpt 4o Latest 20250326GLM-5.1
LMArena Instruction Following14031451

Long Context GLM-5.1 leads

Chatgpt 4o Latest 20250326: 43.1 (#107), GLM-5.1: 44.9 (#53)

Long Context benchmarks
BenchmarkChatgpt 4o Latest 20250326GLM-5.1
LMArena Longer Query14131466

Writing & Preference GLM-5.1 leads

Chatgpt 4o Latest 20250326: 62.6 (#72), GLM-5.1: 66.9 (#31)

Writing & Preference benchmarks
BenchmarkChatgpt 4o Latest 20250326GLM-5.1
LMArena Text14291461
LMArena Creative Writing14051453
EQ-Bench Creative Writing15011592
LMArena Multi-Turn14541472

Frequently asked questions

Is Chatgpt 4o Latest 20250326 better than GLM-5.1?

GLM-5.1 is the stronger model overall, scoring 47.8 to 43.8 on the Noometry Index.

Is Chatgpt 4o Latest 20250326 or GLM-5.1 better for coding?

GLM-5.1 scores higher on coding benchmarks: 48.7 versus 41.6 in the Noometry coding category.

How many benchmarks do Chatgpt 4o Latest 20250326 and GLM-5.1 share?

18 benchmarks have published results for both models. Chatgpt 4o Latest 20250326 has 21 scored results on Noometry and GLM-5.1 has 41.

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