Qwen3-8B 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 | Qwen3-8B | Ternary-Bonsai-2-27B-gguf |
|---|---|---|
| Deployment | Open weights | Open weights · also via API |
| Parameters | 8.2 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 | 8,298,786 | 2,484,375 |
| Downloads all time | 133.3 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 | not on OpenRouter | $0.075 |
| API output price / 1M tokens | not on OpenRouter | $0.50 |
| Est. cost per 1M input + 1M output tokens | not on OpenRouter | $0.58 |
| Cached input / 1M tokens | not on OpenRouter | $0.038 |
| AA Intelligence Index | not on OpenRouter | — |
| AA Coding Index | not on OpenRouter | — |
| AA Agentic Index | not on OpenRouter | — |
| Max output tokens | not on OpenRouter | 32,768 |
| API providers | not on OpenRouter | 1 |
| Tool calling | not on OpenRouter | Yes |
| Reasoning mode | not on OpenRouter | Yes |
API cost
Estimated cost of 1M input + 1M output tokens via OpenRouter
Ternary-Bonsai-2-27B-gguf
$0.58
Download trend
Daily snapshots, last 88 days (28 Jul – 23 Oct)
16.6 M406 K
Qwen3-8B
Ternary-Bonsai-2-27B-gguf
VRAM side by side
On RTX 4090 · 24 GB · 8K context unless noted
Qwen3-8B · fp16
19.7 GB / 24 GB