Model comparison

GLM-5 vs Hunyuan Standard 2025 02 10

GLM-5 is the stronger model overall, scoring 45.9 to 37.2 on the Noometry Index.

Last verified . 12 shared benchmarks.

GLM-5 Z.ai (Zhipu)

45.9

Rank #59 Confirmed

Hunyuan Standard 2025 02 10 Tencent

37.2

Rank #193 Confirmed

Summary

  • They share 12 benchmarks with published results for both. GLM-5 scores higher in 8 categories and Hunyuan Standard 2025 02 10 in 0 categories; 8 gaps are clear of the uncertainty.
  • The widest gap is in writing & preference, where GLM-5 leads 66.2 to 47.4.
  • GLM-5 has downloadable open weights; the other is API-only.

Side by side

GLM-5 and Hunyuan Standard 2025 02 10 specifications
GLM-5Hunyuan Standard 2025 02 10
ProviderZ.ai (Zhipu)Tencent
Noometry Index45.937.2
Released2026-02-11—
WeightsOpenProprietary
Context window205K—
Max output131K—
Input $ / M tokens$1—
Output $ / M tokens$3.20—
Results tracked4512

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Category by category

Coding GLM-5 leads

GLM-5: 49.0 (#47), Hunyuan Standard 2025 02 10: 36.5 (#192)

Coding benchmarks
BenchmarkGLM-5Hunyuan Standard 2025 02 10
LMArena Coding14611270
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: 30.9 (#65), Hunyuan Standard 2025 02 10: —

Agentic & Tool Use benchmarks
BenchmarkGLM-5Hunyuan Standard 2025 02 10
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 (#100), Hunyuan Standard 2025 02 10: 23.9 (#157)

Reasoning benchmarks
BenchmarkGLM-5Hunyuan Standard 2025 02 10
LMArena Hard Prompts14511264
ARC-AGI-24.9%—
SimpleBench53.2%—
Kagi LLM Benchmark75%—
NYT Connections (extended)74.8%—
ARC-AGI-144.7%—
Chess Puzzles10%—
Epoch Capabilities Index145.84—
ForecastBench61—

Math GLM-5 leads

GLM-5: 44.8 (#66), Hunyuan Standard 2025 02 10: 33.0 (#179)

Math benchmarks
BenchmarkGLM-5Hunyuan Standard 2025 02 10
LMArena Math14401274
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: 52.2 (#59), Hunyuan Standard 2025 02 10: 33.6 (#192)

Knowledge benchmarks
BenchmarkGLM-5Hunyuan Standard 2025 02 10
LMArena Expert14541248
GPQA Diamond87.8%—
Vectara Hallucination Rate10.1%—

Multilingual GLM-5 leads

GLM-5: 53.9 (#57), Hunyuan Standard 2025 02 10: 41.9 (#198)

Multilingual benchmarks
BenchmarkGLM-5Hunyuan Standard 2025 02 10
LMArena Non-English14301262
LMArena Chinese15111319
LMArena Russian14361258
LMArena French1455—
LMArena German1445—
LMArena Japanese1416—
LMArena Korean1421—
LMArena Spanish1452—

Instruction Following GLM-5 leads

GLM-5: 75.4 (#64), Hunyuan Standard 2025 02 10: 65.8 (#214)

Instruction Following benchmarks
BenchmarkGLM-5Hunyuan Standard 2025 02 10
LMArena Instruction Following14271245

Long Context GLM-5 leads

GLM-5: 44.6 (#58), Hunyuan Standard 2025 02 10: 39.5 (#168)

Long Context benchmarks
BenchmarkGLM-5Hunyuan Standard 2025 02 10
LMArena Longer Query14461301
CL-bench18.7%—

Writing & Preference GLM-5 leads

GLM-5: 66.2 (#38), Hunyuan Standard 2025 02 10: 47.4 (#209)

Writing & Preference benchmarks
BenchmarkGLM-5Hunyuan Standard 2025 02 10
LMArena Text14461274
LMArena Creative Writing14381242
LMArena Multi-Turn14561275
EQ-Bench Creative Writing1601—

Frequently asked questions

Is GLM-5 better than Hunyuan Standard 2025 02 10?

GLM-5 is the stronger model overall, scoring 45.9 to 37.2 on the Noometry Index.

Is GLM-5 or Hunyuan Standard 2025 02 10 better for coding?

GLM-5 scores higher on coding benchmarks: 49.0 versus 36.5 in the Noometry coding category.

How many benchmarks do GLM-5 and Hunyuan Standard 2025 02 10 share?

12 benchmarks have published results for both models. GLM-5 has 45 scored results on Noometry and Hunyuan Standard 2025 02 10 has 12.

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