$ diff gemini-4-argon glm-5-3-flash
Gemini 4 Argon vs GLM-5.3-Flash
Values come from Gemini 4 Argon 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.
Google DeepMindGemini 4 Argon
- context
- 2M
- weights
- closed
- $/M in
- $2
- $/M out
- $10
- context
- 1.0M
- weights
- open
- $/M in
- $0.15
- $/M out
- $0.5
What actually differs
- Context window
- Gemini 4 Argon takes 2M against 1.0M — modestly more room in a single request.
- Input price
- GLM-5.3-Flash at $0.15/M against $2/M — 13.3× 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 $10/M — 20.0× 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); Gemini 4 Argon is API-only. That decides self-hosting, air-gapped deployment and fine-tuning before any capability question does.
- Recency
- Gemini 4 Argon shipped 35 days after GLM-5.3-Flash (2026-09-30 vs 2026-08-26).
Full spec
| Attribute | Gemini 4 Argon | GLM-5.3-Flash |
|---|---|---|
| Developer | Google DeepMind | Z.ai |
| Released | 2026-09-30 | 2026-08-26 |
| Context window | 2M tokens | 1,048,576 (1M) |
| Pricing | $2/M input · $10/M output · cached input $0.10/M (introductory; stated to double to $4/$20) | $0.15/M input · $0.03/M cached input · $0.50/M output |
| License | proprietary | MIT |
| Availability | Fairwind Program (trusted cyber defenders) only; paid API and Google AI Ultra stated as next, no date | Hugging Face (open weights), Z.ai API |