Model comparison

GLM-5.3 vs Tulu 3 (Tülu 3) 70B

GLM-5.3 is the stronger model overall, scoring 54.6 to 32.6 on the Noometry Index.

Last verified . 13 shared benchmarks.

GLM-5.3 Z.ai (Zhipu)

54.6

Rank #25 Confirmed

Summary

  • They share 13 benchmarks with published results for both. GLM-5.3 scores higher in 8 categories and Tulu 3 (Tülu 3) 70B in 0 categories; 8 gaps are clear of the uncertainty.
  • The widest gap is in math, where GLM-5.3 leads 62.1 to 13.3.
  • The biggest single-benchmark swing is OTIS Mock AIME 2024-2025: 91.1% for GLM-5.3 and 4.4% for Tulu 3 (Tülu 3) 70B.

Side by side

GLM-5.3 and Tulu 3 (Tülu 3) 70B specifications
GLM-5.3Tulu 3 (Tülu 3) 70B
ProviderZ.ai (Zhipu)Allen Institute for AI (Ai2)
Noometry Index54.632.6
Released2026-08-142024-11-21
WeightsOpenOpen
Context window1M—
Max output131K—
Input $ / M tokens$1.40—
Output $ / M tokens$4.40—
Results tracked4114

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Category by category

Coding GLM-5.3 leads

GLM-5.3: 59.0 (#12), Tulu 3 (Tülu 3) 70B: 35.4 (#211)

Coding benchmarks
BenchmarkGLM-5.3Tulu 3 (Tülu 3) 70B
LMArena Coding14991236
DeepSWE69%—
FrontierCode40.1%—
LMArena WebDev1623—
FrontierSWE30.2%—
SciCode59%—
WeirdML75.4%—
ALE-Bench1,317—

Agentic & Tool Use Not comparable

GLM-5.3: 36.3 (#34), Tulu 3 (Tülu 3) 70B: —

Agentic & Tool Use benchmarks
BenchmarkGLM-5.3Tulu 3 (Tülu 3) 70B
APEX-Agents56.6%—
Vending-Bench 28,164—

Reasoning GLM-5.3 leads

GLM-5.3: 45.2 (#42), Tulu 3 (Tülu 3) 70B: 22.9 (#172)

Reasoning benchmarks
BenchmarkGLM-5.3Tulu 3 (Tülu 3) 70B
LMArena Hard Prompts14911220
NYT Connections (extended)74.2%—
CritPt19.1%—
Chess Puzzles21%—
Mystery Game Puzzles33%—
DTBench87.7%—
LMCA55.5%—
Bench to the Future 30.15—
Epoch Capabilities Index155.56—

Math GLM-5.3 leads

GLM-5.3: 62.1 (#27), Tulu 3 (Tülu 3) 70B: 13.3 (#297)

Math benchmarks
BenchmarkGLM-5.3Tulu 3 (Tülu 3) 70B
OTIS Mock AIME 2024-202591.1%4.4%
LMArena Math14931242
FrontierMath (Tiers 1-3)68.8%—
FrontierMath Tier 429.3%—
ProofBench49%—
MATH Level 5—42.7%

Knowledge GLM-5.3 leads

GLM-5.3: 58.3 (#34), Tulu 3 (Tülu 3) 70B: 25.1 (#257)

Knowledge benchmarks
BenchmarkGLM-5.3Tulu 3 (Tülu 3) 70B
GPQA Diamond90.9%46.3%
SimpleQA Verified41%—
LMArena Expert1512—

Multilingual GLM-5.3 leads

GLM-5.3: 55.9 (#27), Tulu 3 (Tülu 3) 70B: 40.1 (#217)

Multilingual benchmarks
BenchmarkGLM-5.3Tulu 3 (Tülu 3) 70B
LMArena Non-English14571236
LMArena Chinese15231249
LMArena Russian14601246
LMArena French1499—
LMArena German1505—
LMArena Japanese1438—
LMArena Korean1478—
LMArena Spanish1444—

Instruction Following GLM-5.3 leads

GLM-5.3: 77.8 (#15), Tulu 3 (Tülu 3) 70B: 65.0 (#222)

Instruction Following benchmarks
BenchmarkGLM-5.3Tulu 3 (Tülu 3) 70B
LMArena Instruction Following14811233

Long Context GLM-5.3 leads

GLM-5.3: 45.5 (#32), Tulu 3 (Tülu 3) 70B: 37.1 (#217)

Long Context benchmarks
BenchmarkGLM-5.3Tulu 3 (Tülu 3) 70B
LMArena Longer Query14851224

Writing & Preference GLM-5.3 leads

GLM-5.3: 75.9 (#6), Tulu 3 (Tülu 3) 70B: 45.8 (#218)

Writing & Preference benchmarks
BenchmarkGLM-5.3Tulu 3 (Tülu 3) 70B
LMArena Text14731256
LMArena Creative Writing14591231
LMArena Multi-Turn14731252
EQ-Bench Creative Writing2075—

Frequently asked questions

Is GLM-5.3 better than Tulu 3 (Tülu 3) 70B?

GLM-5.3 is the stronger model overall, scoring 54.6 to 32.6 on the Noometry Index.

Is GLM-5.3 or Tulu 3 (Tülu 3) 70B better for coding?

GLM-5.3 scores higher on coding benchmarks: 59.0 versus 35.4 in the Noometry coding category.

How many benchmarks do GLM-5.3 and Tulu 3 (Tülu 3) 70B share?

13 benchmarks have published results for both models. GLM-5.3 has 41 scored results on Noometry and Tulu 3 (Tülu 3) 70B has 14.

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