$ diff ternary-bonsai-2-27b deepseek-v4-1-flash
Ternary Bonsai 2 27B vs DeepSeek V4.1-Flash
Values come from Ternary Bonsai 2 27B and DeepSeek V4.1-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.
PrismmlTernary Bonsai 2 27B
- context
- 262K
- weights
- open
- $/M in
- —
- $/M out
- —
- context
- 1M
- weights
- open
- $/M in
- $0.15
- $/M out
- $0.6
What actually differs
- Context window
- DeepSeek V4.1-Flash takes 1M against 262K — 3.8× more room in a single request.
- Weights
- Both publish weights — Ternary Bonsai 2 27B under Apache 2.0, DeepSeek V4.1-Flash under MIT (open-weight). Check the licences rather than assuming they permit the same commercial use.
- Recency
- Ternary Bonsai 2 27B shipped 7 days after DeepSeek V4.1-Flash (2026-09-17 vs 2026-09-10).
Full spec
| Attribute | Ternary Bonsai 2 27B | DeepSeek V4.1-Flash |
|---|---|---|
| Developer | Prismml | DeepSeek |
| Released | 2026-09-17 | 2026-09-10 |
| Context window | 262,144 | 1,000,000 |
| Pricing | not recorded | $0.15/M input (cache miss) · $0.003/M input (cache hit) · $0.60/M output, off-peak; peak rates double — see Pricing |
| License | Apache 2.0 | MIT (open-weight) |
| Availability | Hugging Face (`prism-ml/Ternary-Bonsai-2-27B-gguf`, `prism-ml/Ternary-Bonsai-2-27B-mlx-2bit`) | DeepSeek API, Hugging Face (`deepseek-ai/DeepSeek-V4.1-Flash`) |