Qwen3-14B vs Ternary-Bonsai-2-27B-gguf
Specs, VRAM requirements and download trends — updated 23 October 2026.
prism-ml · B · Open weights
Params
27.0 B
Context
—
30d
2.5 M
apache-2.0 · commercial OK
Specification comparison
Differences are highlighted; identical values are muted.
| Specification | Qwen3-14B | Ternary-Bonsai-2-27B-gguf |
|---|---|---|
| Deployment | Open weights · also via API | Open weights · also via API |
| Parameters | 14.8 B | 27.0 B |
| Architecture | Qwen3ForCausalLM | — |
| Context length | 40,960 | 262,144 |
| Licence | apache-2.0 | apache-2.0 |
| Commercial use | Allowed | Allowed |
| Languages | — | — |
| Downloads 30d | 9,211,389 | 2,484,375 |
| Downloads all time | 37.8 M | 5.3 M |
| Quantizations on the Hub | SAFETENSORS | GGUF |
| Gated | No | No |
| First seen on the Hub | 2025-04-27 | 2026-09-16 |
| API input price / 1M tokens | $0.12 | $0.075 |
| API output price / 1M tokens | $0.24 | $0.50 |
| Est. cost per 1M input + 1M output tokens | $0.36 | $0.58 |
| Cached input / 1M tokens | — | $0.038 |
| AA Intelligence Index | 6.7 | — |
| AA Coding Index | — | — |
| AA Agentic Index | — | — |
| Max output tokens | 16,384 | 32,768 |
| API providers | 2 | 1 |
| Tool calling | Yes | Yes |
| Reasoning mode | Yes | Yes |
API cost
Estimated cost of 1M input + 1M output tokens via OpenRouter
Qwen3-14B
$0.36
Ternary-Bonsai-2-27B-gguf
$0.58
Qwen3-14B is 1.6× cheaper at list price.
Download trend
Daily snapshots, last 88 days (28 Jul – 23 Oct)
9.2 M406 K
Qwen3-14B
Ternary-Bonsai-2-27B-gguf
A overtook B on 8 Oct
VRAM side by side
On RTX 4090 · 24 GB · 8K context unless noted
Qwen3-14B · fp16
35.2 GB / 24 GB