$ diff deepseek-v4-1-flash glm-5-3-flash
DeepSeek V4.1-Flash vs GLM-5.3-Flash
Values come from DeepSeek V4.1-Flash 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.
DeepSeekDeepSeek V4.1-Flash
- context
- 1M
- weights
- open
- $/M in
- $0.15
- $/M out
- $0.6
- 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.
- Output price
- GLM-5.3-Flash at $0.5/M against $0.6/M — 1.2× cheaper to generate. Output dominates the bill on most agentic workloads, where the model writes far more than it reads.
- Weights
- Both publish weights — DeepSeek V4.1-Flash under MIT (open-weight), GLM-5.3-Flash under MIT. Check the licences rather than assuming they permit the same commercial use.
- Recency
- DeepSeek V4.1-Flash shipped 15 days after GLM-5.3-Flash (2026-09-10 vs 2026-08-26).
Full spec
| Attribute | DeepSeek V4.1-Flash | GLM-5.3-Flash |
|---|---|---|
| Developer | DeepSeek | Z.ai |
| Released | 2026-09-10 | 2026-08-26 |
| Context window | 1,000,000 | 1,048,576 (1M) |
| Pricing | $0.15/M input (cache miss) · $0.003/M input (cache hit) · $0.60/M output, off-peak; peak rates double — see Pricing | $0.15/M input · $0.03/M cached input · $0.50/M output |
| License | MIT (open-weight) | MIT |
| Availability | DeepSeek API, Hugging Face (`deepseek-ai/DeepSeek-V4.1-Flash`) | Hugging Face (open weights), Z.ai API |