$ diff hy4-preview glm-5-3-flash
Hy4 preview vs GLM-5.3-Flash
Values come from Hy4 preview and GLM-5.3-Flash, where each is cited to its source. This page states no benchmark result and ranks neither model — it puts two published specifications next to each other. Where a lab has not published a figure, the row says so rather than guessing.
TencentHy4 preview
- context
- 1M
- weights
- open
- $/M in
- $0.834
- $/M out
- $2.501
- context
- 1.0M
- weights
- open
- $/M in
- $0.15
- $/M out
- $0.5
What actually differs
- Context window
- GLM-5.3-Flash takes 1.0M against 1M — modestly more room in a single request.
- Input price
- GLM-5.3-Flash at $0.15/M against $0.834/M — 5.6× cheaper to feed. Standard rates: one of these labs also quotes a lower cached-input tier, which applies only when a prefix is reused — see the full spec below.
- Output price
- GLM-5.3-Flash at $0.5/M against $2.501/M — 5.0× cheaper to generate. Output dominates the bill on most agentic workloads, where the model writes far more than it reads.
- Weights
- Both publish weights — Hy4 preview under Apache-2.0, GLM-5.3-Flash under MIT. Check the licences rather than assuming they permit the same commercial use.
- Recency
- Hy4 preview shipped 2 days after GLM-5.3-Flash (2026-08-28 vs 2026-08-26).
Full spec
| Attribute | Hy4 preview | GLM-5.3-Flash |
|---|---|---|
| Developer | Tencent | Z.ai |
| Released | 2026-08-28 | 2026-08-26 |
| Context window | over 1,000,000 | 1,048,576 (1M) |
| Pricing | $0.834/M input · $2.501/M output | $0.15/M input · $0.03/M cached input · $0.50/M output |
| License | Apache-2.0 | MIT |
| Availability | Hugging Face (BF16 + FP8), ModelScope, GitCode, CNB, Tencent Cloud TokenHub, OpenRouter, WorkBuddy, CodeBuddy, Yuanbao, ima | Hugging Face (open weights), Z.ai API |