$ diff astra glm-5-3-flash
Astra vs GLM-5.3-Flash
Values come from Astra 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.
OpenAIAstra
- context
- 1.1M
- weights
- closed
- $/M in
- $10
- $/M out
- $50
- context
- 1.0M
- weights
- open
- $/M in
- $0.15
- $/M out
- $0.5
What actually differs
- Context window
- Astra takes 1.1M against 1.0M — modestly more room in a single request.
- Input price
- GLM-5.3-Flash at $0.15/M against $10/M — 66.7× 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 $50/M — 100.0× cheaper to generate. Output dominates the bill on most agentic workloads, where the model writes far more than it reads.
- Weights
- GLM-5.3-Flash publishes weights (MIT); Astra is API-only. That decides self-hosting, air-gapped deployment and fine-tuning before any capability question does.
- Recency
- Astra shipped 8 days after GLM-5.3-Flash (2026-09-03 vs 2026-08-26).
Full spec
| Attribute | Astra | GLM-5.3-Flash |
|---|---|---|
| Developer | OpenAI | Z.ai |
| Released | 2026-09-03 | 2026-08-26 |
| Context window | 1,050,000 tokens (128,000 max output) | 1,048,576 (1M) |
| Pricing | $10/M input · $50/M output | $0.15/M input · $0.03/M cached input · $0.50/M output |
| License | proprietary | MIT |
| Availability | ChatGPT Plus, Pro, Business, Enterprise · OpenAI API · AWS — staged, see below | Hugging Face (open weights), Z.ai API |