GLM-4.7 vs Hy4 preview
Hy4 preview leads the LLM Stats Score 51.1 to 34.6.
Zhipu AI · Tencent · Updated for 2026
Which is better?
Hy4 preview leads the overall LLM Stats Score 51.1 to 34.6, ranking #14 overall.
In the 2 individual benchmarks reported for both models, Hy4 preview wins 2; 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-4.7
- you want predictable pricing at $0.60/M input and $2.20/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 2 of 2 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
13 reported for GLM-4.7 · 32 for Hy4 preview
GLM-4.7 outperforms in 0 benchmarks, while Hy4 preview is better at 2 benchmarks (GPQA, SWE-bench Multilingual).
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 412.0B more parameters than GLM-4.7, making it 115.1% larger.
Context Window
Maximum input and output token capacity
Only GLM-4.7 specifies input context (202,800 tokens). Only GLM-4.7 specifies output context (131,072 tokens).
Input capabilities
Documented input modalities across available providers
GLM-4.7 supports multimodal inputs, whereas Hy4 preview does not.
GLM-4.7 can handle both text and other forms of data like images, making it suitable for multimodal applications.
GLM-4.7
Hy4 preview
License
Usage and distribution terms
GLM-4.7 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-4.7 was released on 2025-12-22, while Hy4 preview was released on 2026-08-28.
Hy4 preview is 8 months newer than GLM-4.7.
Dec 22, 2025
8 months ago
Aug 28, 2026
1 weeks ago
8mo 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-4.7 and Hy4 preview side-by-side, then vote on the output you prefer.
FAQ
Common questions about GLM-4.7 vs Hy4 preview.