Ternary-Bonsai-2-27B-gguf vs llm-jp-4-33b-thinking-gguf
Specs, VRAM requirements and download trends — updated 24 October 2026.
prism-ml · A · Open weights
Params
27.0 B
Context
—
30d
2.3 M
apache-2.0 · commercial OK
llm-jp · B · Open weights
Params
33.0 B
Context
—
30d
271 K
apache-2.0 · commercial OK
Specification comparison
Differences are highlighted; identical values are muted.
| Specification | Ternary-Bonsai-2-27B-gguf | llm-jp-4-33b-thinking-gguf |
|---|---|---|
| Deployment | Open weights · also via API | Open weights |
| Parameters | 27.0 B | 33.0 B |
| Architecture | — | — |
| Context length | 262,144 | — |
| Licence | apache-2.0 | apache-2.0 |
| Commercial use | Allowed | Allowed |
| Languages | — | 2 |
| Downloads 30d | 2,336,119 | 271,493 |
| Downloads all time | 5.3 M | 498 K |
| Quantizations on the Hub | GGUF | GGUF |
| Gated | No | No |
| First seen on the Hub | 2026-09-16 | 2026-08-18 |
| API input price / 1M tokens | $0.075 | not on OpenRouter |
| API output price / 1M tokens | $0.50 | not on OpenRouter |
| Est. cost per 1M input + 1M output tokens | $0.58 | not on OpenRouter |
| Cached input / 1M tokens | $0.038 | not on OpenRouter |
| AA Intelligence Index | — | not on OpenRouter |
| AA Coding Index | — | not on OpenRouter |
| AA Agentic Index | — | not on OpenRouter |
| Max output tokens | 32,768 | not on OpenRouter |
| API providers | 1 | not on OpenRouter |
| Tool calling | Yes | not on OpenRouter |
| Reasoning mode | Yes | not on OpenRouter |
API cost
Estimated cost of 1M input + 1M output tokens via OpenRouter
Ternary-Bonsai-2-27B-gguf
$0.58
Download trend
Daily snapshots, last 36 days (19 Sep – 24 Oct)
4.9 M192 K
Ternary-Bonsai-2-27B-gguf
llm-jp-4-33b-thinking-gguf
VRAM side by side
On RTX 4090 · 24 GB · 8K context unless noted
llm-jp-4-33b-thinking-gguf · Q4_K_M
27.6 GB / 24 GB