Noometry

Model comparison

GLM-5.3-Flash vs Tulu 3 (Tülu 3) 70B

GLM-5.3-Flash is the stronger model overall, scoring 49.6 to 32.6 on the Noometry Index.

Last verified . 13 shared benchmarks.

GLM-5.3-Flash Z.ai (Zhipu)

49.6

Rank #45 Confirmed

Tulu 3 (Tülu 3) 70B Allen Institute for AI (Ai2)

32.6

Rank #242 Confirmed

Summary

  • They share 13 benchmarks with published results for both. GLM-5.3-Flash 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-Flash leads 53.1 to 13.3.
  • The biggest single-benchmark swing is OTIS Mock AIME 2024-2025: 93.9% for GLM-5.3-Flash and 4.4% for Tulu 3 (Tülu 3) 70B.

Side by side

GLM-5.3-FlashTulu 3 (Tülu 3) 70B
ProviderZ.ai (Zhipu)Allen Institute for AI (Ai2)
Noometry Index49.632.6
Released2026-08-202024-11-21
WeightsOpenOpen
Context window1M—
Max output131K—
Input $ / M tokens$0.15—
Output $ / M tokens$0.50—
Results tracked3614

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Category by category

Coding GLM-5.3-Flash leads

GLM-5.3-Flash: 53.7 (#26), Tulu 3 (Tülu 3) 70B: 35.4 (#211)

BenchmarkGLM-5.3-FlashTulu 3 (Tülu 3) 70B
LMArena Coding15061236
DeepSWE63.4%—
FrontierCode31.8%—
LMArena WebDev1614—
SciCode51.6%—
ALE-Bench303.55—

Agentic & Tool Use Not comparable

GLM-5.3-Flash: 34.3 (#41), Tulu 3 (Tülu 3) 70B: —

BenchmarkGLM-5.3-FlashTulu 3 (Tülu 3) 70B
APEX-Agents52.8%—
GDP.pdf14%—

Reasoning GLM-5.3-Flash leads

GLM-5.3-Flash: 31.7 (#69), Tulu 3 (Tülu 3) 70B: 22.9 (#172)

BenchmarkGLM-5.3-FlashTulu 3 (Tülu 3) 70B
LMArena Hard Prompts14901220
CritPt15.4%—
Chess Puzzles14%—
Mystery Game Puzzles8%—
Surface Evolver Bench52.5%—
Bench to the Future 30.15—
Epoch Capabilities Index151.9—

Math GLM-5.3-Flash leads

GLM-5.3-Flash: 53.1 (#38), Tulu 3 (Tülu 3) 70B: 13.3 (#297)

BenchmarkGLM-5.3-FlashTulu 3 (Tülu 3) 70B
OTIS Mock AIME 2024-202593.9%4.4%
LMArena Math14991242
FrontierMath (Tiers 1-3)55.8%—
FrontierMath Tier 417.1%—
ProofBench21%—
MATH Level 5—42.7%

Knowledge GLM-5.3-Flash leads

GLM-5.3-Flash: 58.4 (#33), Tulu 3 (Tülu 3) 70B: 25.1 (#257)

BenchmarkGLM-5.3-FlashTulu 3 (Tülu 3) 70B
GPQA Diamond90.2%46.3%
LMArena Expert1512—

Multimodal Not comparable

GLM-5.3-Flash: 42.6 (#25), Tulu 3 (Tülu 3) 70B: —

BenchmarkGLM-5.3-FlashTulu 3 (Tülu 3) 70B
LMArena Vision1304—

Multilingual GLM-5.3-Flash leads

GLM-5.3-Flash: 56.2 (#24), Tulu 3 (Tülu 3) 70B: 40.1 (#217)

BenchmarkGLM-5.3-FlashTulu 3 (Tülu 3) 70B
LMArena Non-English14621236
LMArena Chinese15291249
LMArena Russian14721246
LMArena French1495—
LMArena German1457—
LMArena Japanese1420—
LMArena Korean1443—
LMArena Spanish1471—

Instruction Following GLM-5.3-Flash leads

GLM-5.3-Flash: 77.8 (#17), Tulu 3 (Tülu 3) 70B: 65.0 (#222)

BenchmarkGLM-5.3-FlashTulu 3 (Tülu 3) 70B
LMArena Instruction Following14801233

Long Context GLM-5.3-Flash leads

GLM-5.3-Flash: 45.3 (#41), Tulu 3 (Tülu 3) 70B: 37.1 (#217)

BenchmarkGLM-5.3-FlashTulu 3 (Tülu 3) 70B
LMArena Longer Query14791224

Writing & Preference GLM-5.3-Flash leads

GLM-5.3-Flash: 65.4 (#49), Tulu 3 (Tülu 3) 70B: 45.8 (#218)

BenchmarkGLM-5.3-FlashTulu 3 (Tülu 3) 70B
LMArena Text14711256
LMArena Creative Writing14401231
LMArena Multi-Turn14711252

Frequently asked questions

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

GLM-5.3-Flash is the stronger model overall, scoring 49.6 to 32.6 on the Noometry Index.

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

GLM-5.3-Flash scores higher on coding benchmarks: 53.7 versus 35.4 in the Noometry coding category.

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

13 benchmarks have published results for both models. GLM-5.3-Flash has 36 scored results on Noometry and Tulu 3 (Tülu 3) 70B has 14.

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