Model comparison

GLM-5 vs Hunyuan Large Vision

GLM-5 is the stronger model overall, scoring 46.1 to 37.6 on the Noometry Index.

Last verified . 12 shared benchmarks.

GLM-5 Z.ai (Zhipu)

46.1

Rank #66 Confirmed

Hunyuan Large Vision Tencent

37.6

Rank #202 Confirmed

Summary

  • They share 12 benchmarks with published results for both. GLM-5 scores higher in 8 categories and Hunyuan Large Vision in 0 categories; 8 gaps are clear of the uncertainty.
  • The widest gap is in writing & preference, where GLM-5 leads 66.0 to 46.5.
  • GLM-5 has downloadable open weights; the other is API-only.

Side by side

GLM-5 and Hunyuan Large Vision specifications
GLM-5Hunyuan Large Vision
ProviderZ.ai (Zhipu)Tencent
Noometry Index46.137.6
Released2026-02-11—
WeightsOpenProprietary
Context window205K—
Max output131K—
Input $ / M tokens$1—
Output $ / M tokens$3.20—
Results tracked4513

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Category by category

Coding GLM-5 leads

GLM-5: 49.0 (#52), Hunyuan Large Vision: 38.3 (#180)

Coding benchmarks
BenchmarkGLM-5Hunyuan Large Vision
LMArena Coding14611308
SWE-bench Verified72.1%—
SWE-bench Verified (bash only)72.8%—
LMArena WebDev1434—
SWE-bench Multilingual69.7%—
WeirdML48.2%—
ALE-Bench765.62—

Agentic & Tool Use Not comparable

GLM-5: 31.1 (#71), Hunyuan Large Vision: —

Agentic & Tool Use benchmarks
BenchmarkGLM-5Hunyuan Large Vision
Terminal-Bench52.4%—
τ²-bench Airline82.5%—
τ²-bench Banking9.8%—
τ²-bench Retail73.7%—
τ²-bench Telecom86.8%—
Vending-Bench 24,432—

Reasoning GLM-5 leads

GLM-5: 27.6 (#116), Hunyuan Large Vision: 24.8 (#158)

Reasoning benchmarks
BenchmarkGLM-5Hunyuan Large Vision
LMArena Hard Prompts14521257
ARC-AGI-24.9%—
SimpleBench53.2%—
Kagi LLM Benchmark75%—
NYT Connections (extended)74.8%—
ARC-AGI-144.7%—
Chess Puzzles10%—
Epoch Capabilities Index145.83—
ForecastBench61—

Math GLM-5 leads

GLM-5: 46.4 (#71), Hunyuan Large Vision: 35.5 (#183)

Math benchmarks
BenchmarkGLM-5Hunyuan Large Vision
LMArena Math14401268
MathArena Final-Answer Competitions65.7%—
OTIS Mock AIME 2024-202580%—
FrontierMath (Feb 2025 set)16.4%—
FrontierMath Tier 4 (v1)2.1%—

Knowledge GLM-5 leads

GLM-5: 52.3 (#64), Hunyuan Large Vision: 34.4 (#196)

Knowledge benchmarks
BenchmarkGLM-5Hunyuan Large Vision
LMArena Expert14541252
GPQA Diamond87.8%—
Vectara Hallucination Rate10.1%—

Multimodal Not comparable

GLM-5: —, Hunyuan Large Vision: 35.7 (#83)

Multimodal benchmarks
BenchmarkGLM-5Hunyuan Large Vision
LMArena Vision—1180

Multilingual GLM-5 leads

GLM-5: 53.7 (#58), Hunyuan Large Vision: 39.9 (#221)

Multilingual benchmarks
BenchmarkGLM-5Hunyuan Large Vision
LMArena Non-English14301236
LMArena Chinese15111287
LMArena Russian14361243
LMArena French1455—
LMArena German1445—
LMArena Japanese1416—
LMArena Korean1423—
LMArena Spanish1454—

Instruction Following GLM-5 leads

GLM-5: 75.2 (#67), Hunyuan Large Vision: 65.8 (#215)

Instruction Following benchmarks
BenchmarkGLM-5Hunyuan Large Vision
LMArena Instruction Following14281251

Long Context GLM-5 leads

GLM-5: 44.7 (#60), Hunyuan Large Vision: 38.9 (#189)

Long Context benchmarks
BenchmarkGLM-5Hunyuan Large Vision
LMArena Longer Query14461280
CL-bench18.7%—

Writing & Preference GLM-5 leads

GLM-5: 66.0 (#38), Hunyuan Large Vision: 46.5 (#218)

Writing & Preference benchmarks
BenchmarkGLM-5Hunyuan Large Vision
LMArena Text14461263
LMArena Creative Writing14391248
LMArena Multi-Turn14561254
EQ-Bench Creative Writing1601—

Frequently asked questions

Is GLM-5 better than Hunyuan Large Vision?

GLM-5 is the stronger model overall, scoring 46.1 to 37.6 on the Noometry Index.

Is GLM-5 or Hunyuan Large Vision better for coding?

GLM-5 scores higher on coding benchmarks: 49.0 versus 38.3 in the Noometry coding category.

How many benchmarks do GLM-5 and Hunyuan Large Vision share?

12 benchmarks have published results for both models. GLM-5 has 45 scored results on Noometry and Hunyuan Large Vision has 13.

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