Model comparison

GLM-5.2 vs Olmo 3.1 32b Instruct

GLM-5.2 is the stronger model overall, scoring 50.9 to 38.8 on the Noometry Index.

Last verified . 16 shared benchmarks.

GLM-5.2 Z.ai (Zhipu)

50.9

Rank #38 Confirmed

Summary

  • They share 16 benchmarks with published results for both. GLM-5.2 scores higher in 8 categories and Olmo 3.1 32b Instruct in 0 categories; 8 gaps are clear of the uncertainty.
  • The widest gap is in math, where GLM-5.2 leads 55.4 to 33.6.

Side by side

GLM-5.2 and Olmo 3.1 32b Instruct specifications
GLM-5.2Olmo 3.1 32b Instruct
ProviderZ.ai (Zhipu)Allen Institute for AI (Ai2)
Noometry Index50.938.8
Released2026-06-13—
WeightsOpenOpen
Context window1M—
Max output131K—
Input $ / M tokens$1.40—
Output $ / M tokens$4.40—
Results tracked5016

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Category by category

Coding GLM-5.2 leads

GLM-5.2: 50.9 (#37), Olmo 3.1 32b Instruct: 38.9 (#154)

Coding benchmarks
BenchmarkGLM-5.2Olmo 3.1 32b Instruct
LMArena Coding14841346
SWE-bench Verified78.7%—
DeepSWE43.8%—
FrontierCode24.5%—
LMArena WebDev1604—
SciCode50.5%—
WeirdML70.1%—
ALE-Bench1,047—

Agentic & Tool Use Not comparable

GLM-5.2: 31.6 (#63), Olmo 3.1 32b Instruct: —

Agentic & Tool Use benchmarks
BenchmarkGLM-5.2Olmo 3.1 32b Instruct
τ²-bench Banking37.1%—
PostTrainBench31.7%—
GBAEval0%—
Vending-Bench 28,314—

Reasoning GLM-5.2 leads

GLM-5.2: 42.1 (#46), Olmo 3.1 32b Instruct: 25.4 (#131)

Reasoning benchmarks
BenchmarkGLM-5.2Olmo 3.1 32b Instruct
LMArena Hard Prompts14801322
ARC-AGI-222.8%—
SimpleBench58.8%—
Kagi LLM Benchmark62.6%—
NYT Connections (extended)74.3%—
ARC-AGI-177%—
CritPt20.9%—
Chess Puzzles21%—
EBR-Bench9.5%—
Mystery Game Puzzles19%—
DTBench93.6%—
LMCA45.8%—
Surface Evolver Bench55.6%—
Epoch Capabilities Index151.76—

Math GLM-5.2 leads

GLM-5.2: 55.4 (#35), Olmo 3.1 32b Instruct: 33.6 (#169)

Math benchmarks
BenchmarkGLM-5.2Olmo 3.1 32b Instruct
LMArena Math14821305
FrontierMath (Tiers 1-3)59.2%—
FrontierMath Tier 429.3%—
MathArena Final-Answer Competitions67.6%—
OTIS Mock AIME 2024-202586.4%—
ProofBench35%—

Knowledge GLM-5.2 leads

GLM-5.2: 57.1 (#36), Olmo 3.1 32b Instruct: 35.4 (#175)

Knowledge benchmarks
BenchmarkGLM-5.2Olmo 3.1 32b Instruct
LMArena Expert14841307
GPQA Diamond91.9%—
SimpleQA Verified34.2%—

Multilingual GLM-5.2 leads

GLM-5.2: 56.0 (#25), Olmo 3.1 32b Instruct: 42.8 (#185)

Multilingual benchmarks
BenchmarkGLM-5.2Olmo 3.1 32b Instruct
LMArena Non-English14591275
LMArena Chinese15181304
LMArena French14761328
LMArena German14701283
LMArena Korean14451206
LMArena Russian14671268
LMArena Spanish14771337
LMArena Japanese1451—

Instruction Following GLM-5.2 leads

GLM-5.2: 77.1 (#32), Olmo 3.1 32b Instruct: 68.8 (#182)

Instruction Following benchmarks
BenchmarkGLM-5.2Olmo 3.1 32b Instruct
LMArena Instruction Following14651298

Long Context GLM-5.2 leads

GLM-5.2: 45.3 (#43), Olmo 3.1 32b Instruct: 39.9 (#161)

Long Context benchmarks
BenchmarkGLM-5.2Olmo 3.1 32b Instruct
LMArena Longer Query14791312

Writing & Preference GLM-5.2 leads

GLM-5.2: 70.7 (#20), Olmo 3.1 32b Instruct: 50.4 (#179)

Writing & Preference benchmarks
BenchmarkGLM-5.2Olmo 3.1 32b Instruct
LMArena Text14701311
LMArena Creative Writing14651264
LMArena Multi-Turn14681309
EQ-Bench Creative Writing1757—
EQ-Bench 41222—

Frequently asked questions

Is GLM-5.2 better than Olmo 3.1 32b Instruct?

GLM-5.2 is the stronger model overall, scoring 50.9 to 38.8 on the Noometry Index.

Is GLM-5.2 or Olmo 3.1 32b Instruct better for coding?

GLM-5.2 scores higher on coding benchmarks: 50.9 versus 38.9 in the Noometry coding category.

How many benchmarks do GLM-5.2 and Olmo 3.1 32b Instruct share?

16 benchmarks have published results for both models. GLM-5.2 has 50 scored results on Noometry and Olmo 3.1 32b Instruct has 16.

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