$ diff mistral-large-4 glm-5-3-flash
Mistral Large 4 vs GLM-5.3-Flash
Values come from Mistral Large 4 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.
Mistral AIMistral Large 4
- context
- 1M
- weights
- —
- $/M in
- $1.36
- $/M out
- $4.18
- 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 $1.36/M — 9.1× 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 $4.18/M — 8.4× cheaper to generate. Output dominates the bill on most agentic workloads, where the model writes far more than it reads.
- Recency
- Mistral Large 4 shipped 41 days after GLM-5.3-Flash (2026-10-06 vs 2026-08-26).
Full spec
| Attribute | Mistral Large 4 | GLM-5.3-Flash |
|---|---|---|
| Developer | Mistral AI | Z.ai |
| Released | 2026-10-06 | 2026-08-26 |
| Context window | 1M | 1,048,576 (1M) |
| Pricing | $1.36/M input · $4.18/M output (announcement) | $0.15/M input · $0.03/M cached input · $0.50/M output |
| License | not recorded | MIT |
| Availability | Mistral Studio API preview; weights promised by end of October 2026 | Hugging Face (open weights), Z.ai API |