GLM-4.6 vs Hy4 preview
Hy4 preview leads the LLM Stats Score 51.1 to 29.4.
Zhipu AI · Tencent · Updated for 2026
Which is better?
Hy4 preview leads the overall LLM Stats Score 51.1 to 29.4, ranking #14 overall.
In the 1 individual benchmarks reported for both models, Hy4 preview wins 1; 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-4.6
- you want predictable pricing at $0.55/M input and $2.00/M output
Choose Hy4 preview
- overall performance matters — it scores 51.1 and ranks #14 on LLM Stats
- your work emphasizes reasoning and coding — it leads those capability indexes
- you value its reported benchmark strengths — it wins 1 of 1 exact shared results
- you want the most recent training data — it shipped Aug 2026
At a glance
The differences that matter most.
Capability indexes
Additional strengths measured across groups of related public benchmarks
Individual benchmarks
7 reported for GLM-4.6 · 32 for Hy4 preview
GLM-4.6 outperforms in 0 benchmarks, while Hy4 preview is better at 1 benchmark (GPQA).
Hy4 preview significantly outperforms across most benchmarks.
Human preference
Blind head-to-head votes and playground preference scores
Model Size
Parameter count comparison
Hy4 preview has 413.0B more parameters than GLM-4.6, making it 115.7% larger.
Context Window
Maximum input and output token capacity
Only GLM-4.6 specifies input context (131,072 tokens). Only GLM-4.6 specifies output context (131,072 tokens).
Input capabilities
Documented input modalities across available providers
GLM-4.6 supports multimodal inputs, whereas Hy4 preview does not.
GLM-4.6 can handle both text and other forms of data like images, making it suitable for multimodal applications.
GLM-4.6
Hy4 preview
License
Usage and distribution terms
GLM-4.6 is licensed under MIT, while Hy4 preview uses Apache 2.0.
License differences may affect how you can use these models in commercial or open-source projects.
MIT
Open weights
Apache 2.0
Open weights
Release Timeline
When each model was launched
GLM-4.6 was released on 2025-09-30, while Hy4 preview was released on 2026-08-28.
Hy4 preview is 11 months newer than GLM-4.6.
Sep 30, 2025
11 months ago
Aug 28, 2026
6 days ago
11mo newerKnowledge 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-4.6 and Hy4 preview side-by-side, then vote on the output you prefer.
FAQ
Common questions about GLM-4.6 vs Hy4 preview.