Noometry

Model comparison

Codellama 34b Instruct vs GLM-5.3

GLM-5.3 is the stronger model overall, scoring 54.8 to 30.8 on the Noometry Index.

Last verified . 10 shared benchmarks.

Codellama 34b Instruct Meta

30.8

Rank #287 Confirmed

GLM-5.3 Z.ai (Zhipu)

54.8

Rank #26 Confirmed

Summary

  • They share 10 benchmarks with published results for both. Codellama 34b Instruct scores higher in 0 categories and GLM-5.3 in 7 categories; 7 gaps are clear of the uncertainty.
  • The widest gap is in writing & preference, where GLM-5.3 leads 75.7 to 28.2.

Side by side

Codellama 34b InstructGLM-5.3
ProviderMetaZ.ai (Zhipu)
Noometry Index30.854.8
Released—2026-08-14
WeightsOpenOpen
Context window—1M
Max output—131K
Input $ / M tokens—$1.40
Output $ / M tokens—$4.40
Results tracked1442

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Category by category

Coding GLM-5.3 leads

Codellama 34b Instruct: 28.5 (#314), GLM-5.3: 59.5 (#14)

BenchmarkCodellama 34b InstructGLM-5.3
LMArena Coding10461496
DeepSWE—69%
FrontierCode—40.1%
CursorBench—42.6%
LMArena WebDev—1622
FrontierSWE—30.2%
SciCode—59%
WeirdML—75.4%
BigCodeBench Instruct29%—
BigCodeBench Complete37.1%—
ALE-Bench—1,317
HumanEval+43.9%—
MBPP+56.3%—

Agentic & Tool Use Not comparable

Codellama 34b Instruct: —, GLM-5.3: 36.4 (#38)

BenchmarkCodellama 34b InstructGLM-5.3
APEX-Agents—56.6%
Vending-Bench 2—8,164

Reasoning GLM-5.3 leads

Codellama 34b Instruct: 19.6 (#255), GLM-5.3: 46.1 (#46)

BenchmarkCodellama 34b InstructGLM-5.3
LMArena Hard Prompts10321489
NYT Connections (extended)—74.2%
CritPt—19.1%
Chess Puzzles—21%
Mystery Game Puzzles—33%
DTBench—87.7%
LMCA—55.5%
Bench to the Future 3—0.15
Epoch Capabilities Index—155.61

Math GLM-5.3 leads

Codellama 34b Instruct: 31.0 (#230), GLM-5.3: 62.3 (#33)

BenchmarkCodellama 34b InstructGLM-5.3
LMArena Math10561489
FrontierMath (Tiers 1-3)—68.8%
FrontierMath Tier 4—29.3%
OTIS Mock AIME 2024-2025—91.1%
ProofBench—49%

Knowledge Not comparable

Codellama 34b Instruct: —, GLM-5.3: 58.3 (#37)

BenchmarkCodellama 34b InstructGLM-5.3
GPQA Diamond—90.9%
SimpleQA Verified—41%
LMArena Expert—1516

Multilingual GLM-5.3 leads

Codellama 34b Instruct: 25.8 (#284), GLM-5.3: 55.7 (#28)

BenchmarkCodellama 34b InstructGLM-5.3
LMArena Non-English10111457
LMArena Chinese9761528
LMArena French—1499
LMArena German—1499
LMArena Japanese—1453
LMArena Korean—1472
LMArena Russian—1463
LMArena Spanish—1460

Instruction Following GLM-5.3 leads

Codellama 34b Instruct: 52.2 (#291), GLM-5.3: 77.5 (#23)

BenchmarkCodellama 34b InstructGLM-5.3
LMArena Instruction Following10281477

Long Context GLM-5.3 leads

Codellama 34b Instruct: 30.9 (#284), GLM-5.3: 45.4 (#41)

BenchmarkCodellama 34b InstructGLM-5.3
LMArena Longer Query10131482

Writing & Preference GLM-5.3 leads

Codellama 34b Instruct: 28.2 (#297), GLM-5.3: 75.7 (#6)

BenchmarkCodellama 34b InstructGLM-5.3
LMArena Text10661471
LMArena Creative Writing10321457
LMArena Multi-Turn10151472
EQ-Bench Creative Writing—2075

Frequently asked questions

Is Codellama 34b Instruct better than GLM-5.3?

GLM-5.3 is the stronger model overall, scoring 54.8 to 30.8 on the Noometry Index.

Is Codellama 34b Instruct or GLM-5.3 better for coding?

GLM-5.3 scores higher on coding benchmarks: 59.5 versus 28.5 in the Noometry coding category.

How many benchmarks do Codellama 34b Instruct and GLM-5.3 share?

10 benchmarks have published results for both models. Codellama 34b Instruct has 14 scored results on Noometry and GLM-5.3 has 42.

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