Model comparison

GLM-5.2 vs Ring-2.6-1T

GLM-5.2 has enough public results to be ranked (#44); Ring-2.6-1T does not yet, so treat this comparison as directional.

Last verified . 3 shared benchmarks.

GLM-5.2 Z.ai (Zhipu)

51.1

Rank #44 Confirmed

Summary

  • They share 3 benchmarks with published results for both. GLM-5.2 scores higher in 2 categories and Ring-2.6-1T in 0 categories; 2 gaps are clear of the uncertainty.
  • The widest gap is in reasoning, where GLM-5.2 leads 42.3 to 26.1.
  • The biggest single-benchmark swing is CritPt: 20.9% for GLM-5.2 and 3.7% for Ring-2.6-1T.

Side by side

GLM-5.2 and Ring-2.6-1T specifications
GLM-5.2Ring-2.6-1T
ProviderZ.ai (Zhipu)Ant Group (inclusionAI)
Noometry Index51.136.9
Released2026-06-132026-05-14
WeightsOpenOpen
Context window1M—
Max output131K—
Input $ / M tokens$1.40—
Output $ / M tokens$4.40—
Results tracked513

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Category by category

Coding GLM-5.2 leads

GLM-5.2: 51.3 (#41), Ring-2.6-1T: 40.7

Coding benchmarks
BenchmarkGLM-5.2Ring-2.6-1T
SciCode50.5%42.4%
ALE-Bench1,047432.57
SWE-bench Verified78.7%—
DeepSWE43.8%—
FrontierCode24.5%—
LMArena WebDev1603—
WeirdML70.1%—
LMArena Coding1485—

Agentic & Tool Use Not comparable

GLM-5.2: 32.4 (#63), Ring-2.6-1T: —

Agentic & Tool Use benchmarks
BenchmarkGLM-5.2Ring-2.6-1T
APEX-Agents45.2%—
τ²-bench Banking37.1%—
PostTrainBench31.7%—
GBAEval0%—
Vending-Bench 28,314—

Reasoning GLM-5.2 leads

GLM-5.2: 42.3 (#52), Ring-2.6-1T: 26.1

Reasoning benchmarks
BenchmarkGLM-5.2Ring-2.6-1T
CritPt20.9%3.7%
ARC-AGI-222.8%—
SimpleBench58.8%—
Kagi LLM Benchmark62.6%—
NYT Connections (extended)74.3%—
ARC-AGI-177%—
Chess Puzzles21%—
EBR-Bench9.5%—
LMArena Hard Prompts1480—
Mystery Game Puzzles19%—
DTBench93.6%—
LMCA45.8%—
Surface Evolver Bench55.6%—
Epoch Capabilities Index151.78—

Math Not comparable

GLM-5.2: 55.7 (#43), Ring-2.6-1T: —

Math benchmarks
BenchmarkGLM-5.2Ring-2.6-1T
FrontierMath (Tiers 1-3)59.2%—
FrontierMath Tier 429.3%—
MathArena Final-Answer Competitions67.6%—
OTIS Mock AIME 2024-202586.4%—
ProofBench35%—
LMArena Math1482—

Knowledge Not comparable

GLM-5.2: 57.1 (#40), Ring-2.6-1T: —

Knowledge benchmarks
BenchmarkGLM-5.2Ring-2.6-1T
GPQA Diamond91.9%—
SimpleQA Verified34.2%—
LMArena Expert1486—

Multilingual Not comparable

GLM-5.2: 55.8 (#26), Ring-2.6-1T: —

Multilingual benchmarks
BenchmarkGLM-5.2Ring-2.6-1T
LMArena Non-English1459—
LMArena Chinese1519—
LMArena French1479—
LMArena German1468—
LMArena Japanese1451—
LMArena Korean1445—
LMArena Russian1466—
LMArena Spanish1477—

Instruction Following Not comparable

GLM-5.2: 76.9 (#34), Ring-2.6-1T: —

Instruction Following benchmarks
BenchmarkGLM-5.2Ring-2.6-1T
LMArena Instruction Following1465—

Long Context Not comparable

GLM-5.2: 45.3 (#43), Ring-2.6-1T: —

Long Context benchmarks
BenchmarkGLM-5.2Ring-2.6-1T
LMArena Longer Query1479—

Writing & Preference Not comparable

GLM-5.2: 70.4 (#21), Ring-2.6-1T: —

Writing & Preference benchmarks
BenchmarkGLM-5.2Ring-2.6-1T
LMArena Text1470—
LMArena Creative Writing1462—
EQ-Bench Creative Writing1757—
EQ-Bench 41222—
LMArena Multi-Turn1469—

Frequently asked questions

Is GLM-5.2 better than Ring-2.6-1T?

GLM-5.2 has enough public results to be ranked (#44); Ring-2.6-1T does not yet, so treat this comparison as directional.

Is GLM-5.2 or Ring-2.6-1T better for coding?

GLM-5.2 scores higher on coding benchmarks: 51.3 versus 40.7 in the Noometry coding category.

How many benchmarks do GLM-5.2 and Ring-2.6-1T share?

3 benchmarks have published results for both models. GLM-5.2 has 51 scored results on Noometry and Ring-2.6-1T has 3.

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