$ diff gemini-4-argon ternary-bonsai-2-27b
Gemini 4 Argon vs Ternary Bonsai 2 27B
Values come from Gemini 4 Argon and Ternary Bonsai 2 27B, 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
- 262K
- weights
- open
- $/M in
- —
- $/M out
- —
What actually differs
- Context window
- Gemini 4 Argon takes 2M against 262K — 7.6× more room in a single request.
- Weights
- Ternary Bonsai 2 27B publishes weights (Apache 2.0); 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 13 days after Ternary Bonsai 2 27B (2026-09-30 vs 2026-09-17).
Full spec
| Attribute | Gemini 4 Argon | Ternary Bonsai 2 27B |
|---|---|---|
| Developer | Google DeepMind | Prismml |
| Released | 2026-09-30 | 2026-09-17 |
| Context window | 2M tokens | 262,144 |
| Pricing | $2/M input · $10/M output · cached input $0.10/M (introductory; stated to double to $4/$20) | not recorded |
| License | proprietary | Apache 2.0 |
| Availability | Fairwind Program (trusted cyber defenders) only; paid API and Google AI Ultra stated as next, no date | Hugging Face (`prism-ml/Ternary-Bonsai-2-27B-gguf`, `prism-ml/Ternary-Bonsai-2-27B-mlx-2bit`) |