Qwen3-VL-8B-Instruct vs Ternary-Bonsai-2-9B-gguf
Specs, VRAM requirements and download trends — updated 10 November 2026.
Qwen · A · Open weights
Params
8.8 B
Context
—
30d
7.1 M
apache-2.0 · commercial OK
prism-ml · B · Open weights
Params
9.0 B
Context
—
30d
1.2 M
apache-2.0 · commercial OK
Specification comparison
Differences are highlighted; identical values are muted.
| Specification | Qwen3-VL-8B-Instruct | Ternary-Bonsai-2-9B-gguf |
|---|---|---|
| Deployment | Open weights · also via API | Open weights · also via API |
| Parameters | 8.8 B | 9.0 B |
| Architecture | Qwen3VLForConditionalGeneration | — |
| Context length | 262,144 | 262,144 |
| Licence | apache-2.0 | apache-2.0 |
| Commercial use | Allowed | Allowed |
| Languages | — | — |
| Downloads 30d | 7,092,774 | 1,161,688 |
| Downloads all time | 79.7 M | 1.2 M |
| Quantizations on the Hub | SAFETENSORS | GGUF |
| Gated | No | No |
| First seen on the Hub | 2025-10-11 | 2026-09-23 |
| API input price / 1M tokens | $0.25 | $0.08 |
| API output price / 1M tokens | $0.75 | $0.13 |
| Est. cost per 1M input + 1M output tokens | $1.00 | $0.21 |
| Cached input / 1M tokens | $0.12 | $0.04 |
| AA Intelligence Index | — | — |
| AA Coding Index | — | — |
| AA Agentic Index | — | — |
| Max output tokens | 235,929 | 65,536 |
| API providers | 1 | 1 |
| Tool calling | Yes | Yes |
| Reasoning mode | No | Yes |
API cost
Estimated cost of 1M input + 1M output tokens via OpenRouter
Qwen3-VL-8B-Instruct
$1.00
Ternary-Bonsai-2-9B-gguf
$0.21
Ternary-Bonsai-2-9B-gguf is 4.8× cheaper at list price.
Download trend
Daily snapshots, last 90 days (13 Aug – 10 Nov)
20.2 M317 K
Qwen3-VL-8B-Instruct
Ternary-Bonsai-2-9B-gguf
VRAM side by side
On RTX 4090 · 24 GB · 8K context unless noted
Qwen3-VL-8B-Instruct · fp16
21.1 GB / 24 GB