Model comparison

GLM-5.3 vs Llama 2-34B

GLM-5.3 has enough public results to be ranked (#25); Llama 2-34B does not yet, so treat this comparison as directional.

Last verified . 1 shared benchmarks.

GLM-5.3 Z.ai (Zhipu)

54.6

Rank #25 Confirmed

Llama 2-34B Meta

—

Unranked

Summary

  • They share 1 benchmark with published results for both.
  • GLM-5.3 has downloadable open weights; the other is API-only.

Side by side

GLM-5.3 and Llama 2-34B specifications
GLM-5.3Llama 2-34B
ProviderZ.ai (Zhipu)Meta
Noometry Index54.6—
Released2026-08-142023-07-18
WeightsOpenProprietary
Context window1M—
Max output131K—
Input $ / M tokens$1.40—
Output $ / M tokens$4.40—
Results tracked4110

Sponsored placements are available on pages like this one. Advertise on Noometry

Category by category

Coding Not comparable

GLM-5.3: 59.0 (#12), Llama 2-34B: —

Coding benchmarks
BenchmarkGLM-5.3Llama 2-34B
DeepSWE69%—
FrontierCode40.1%—
LMArena WebDev1623—
FrontierSWE30.2%—
SciCode59%—
WeirdML75.4%—
LMArena Coding1499—
ALE-Bench1,317—

Agentic & Tool Use Not comparable

GLM-5.3: 36.3 (#34), Llama 2-34B: —

Agentic & Tool Use benchmarks
BenchmarkGLM-5.3Llama 2-34B
APEX-Agents56.6%—
Vending-Bench 28,164—

Reasoning Not comparable

GLM-5.3: 45.2 (#42), Llama 2-34B: —

Reasoning benchmarks
BenchmarkGLM-5.3Llama 2-34B
Epoch Capabilities Index155.56104.81
NYT Connections (extended)74.2%—
CritPt19.1%—
Chess Puzzles21%—
LMArena Hard Prompts1491—
Mystery Game Puzzles33%—
DTBench87.7%—
LMCA55.5%—
Bench to the Future 30.15—
BIG-Bench Hard—44.1%
PIQA—81.9%
WinoGrande—76.7%

Math Not comparable

GLM-5.3: 62.1 (#27), Llama 2-34B: —

Math benchmarks
BenchmarkGLM-5.3Llama 2-34B
FrontierMath (Tiers 1-3)68.8%—
FrontierMath Tier 429.3%—
OTIS Mock AIME 2024-202591.1%—
ProofBench49%—
LMArena Math1493—
GSM8K—42.2%

Knowledge Not comparable

GLM-5.3: 58.3 (#34), Llama 2-34B: —

Knowledge benchmarks
BenchmarkGLM-5.3Llama 2-34B
GPQA Diamond90.9%—
SimpleQA Verified41%—
LMArena Expert1512—
ARC (AI2) Challenge—54.5%
BoolQ—83.7%
MMLU—62.6%
OpenBookQA—58.2%
TriviaQA—84.6%

Multilingual Not comparable

GLM-5.3: 55.9 (#27), Llama 2-34B: —

Multilingual benchmarks
BenchmarkGLM-5.3Llama 2-34B
LMArena Non-English1457—
LMArena Chinese1523—
LMArena French1499—
LMArena German1505—
LMArena Japanese1438—
LMArena Korean1478—
LMArena Russian1460—
LMArena Spanish1444—

Instruction Following Not comparable

GLM-5.3: 77.8 (#15), Llama 2-34B: —

Instruction Following benchmarks
BenchmarkGLM-5.3Llama 2-34B
LMArena Instruction Following1481—

Long Context Not comparable

GLM-5.3: 45.5 (#32), Llama 2-34B: —

Long Context benchmarks
BenchmarkGLM-5.3Llama 2-34B
LMArena Longer Query1485—

Writing & Preference Not comparable

GLM-5.3: 75.9 (#6), Llama 2-34B: —

Writing & Preference benchmarks
BenchmarkGLM-5.3Llama 2-34B
LMArena Text1473—
LMArena Creative Writing1459—
EQ-Bench Creative Writing2075—
LMArena Multi-Turn1473—

Frequently asked questions

Is GLM-5.3 better than Llama 2-34B?

GLM-5.3 has enough public results to be ranked (#25); Llama 2-34B does not yet, so treat this comparison as directional.

How many benchmarks do GLM-5.3 and Llama 2-34B share?

1 benchmark has published results for both models. GLM-5.3 has 41 scored results on Noometry and Llama 2-34B has 10.

Related comparisons

Go deeper