GLM-5.3 vs Hy3
GLM-5.3 leads the LLM Stats Score 53.6 to 42.9.
Zhipu AI · Tencent · Updated for 2026
Which is better?
GLM-5.3 leads the overall LLM Stats Score 53.6 to 42.9, ranking #9 overall.
In the 3 individual benchmarks reported for both models, GLM-5.3 wins 3; this is a narrower head-to-head signal than the composite indexes.
Based on current LLM Stats indexes, shared benchmarks, pricing, and model metadata for 2026.
Choose GLM-5.3
- overall performance matters — it scores 53.6 and ranks #9 on LLM Stats
- your work emphasizes reasoning and coding — it leads those capability indexes
- you value its reported benchmark strengths — it wins 3 of 3 exact shared results
- you want the most recent training data — it shipped Aug 2026
Choose Hy3
- you are already invested in the Tencent ecosystem
At a glance
The differences that matter most.
Capability indexes
Additional strengths measured across groups of related public benchmarks
Individual benchmarks
17 reported for GLM-5.3 · 31 for Hy3
GLM-5.3 outperforms in 3 benchmarks (NL2Repo, Terminal-Bench 2.1, Toolathlon), while Hy3 is better at 0 benchmarks.
GLM-5.3 significantly outperforms across most benchmarks.
Human preference
Blind head-to-head votes and playground preference scores
Model Size
Parameter count comparison
GLM-5.3 has 458.0B more parameters than Hy3, making it 155.3% larger.
Context Window
Maximum input and output token capacity
Only GLM-5.3 specifies input context (1,000,000 tokens). Only GLM-5.3 specifies output context (131,072 tokens).
License
Usage and distribution terms
GLM-5.3 is licensed under GLM-5.3 License, while Hy3 uses Apache 2.0.
License differences may affect how you can use these models in commercial or open-source projects.
GLM-5.3 License
Open weights
Apache 2.0
Open weights
Release Timeline
When each model was launched
GLM-5.3 was released on 2026-08-14, while Hy3 was released on 2026-07-06.
GLM-5.3 is 1 month newer than Hy3.
Aug 14, 2026
3 weeks ago
1mo newerJul 6, 2026
2 months ago
Knowledge Cutoff
When training data ends
Neither model specifies a knowledge cutoff date.
Unable to compare the recency of their training data.
Outputs Comparison
Judge for yourself.
Run your own prompts against GLM-5.3 and Hy3 side-by-side, then vote on the output you prefer.
FAQ
Common questions about GLM-5.3 vs Hy3.