Qwen3.5-4B vs Ternary-Bonsai-2-9B-gguf

Specs, VRAM requirements and download trends — updated 10 November 2026.

Qwen · A · Open weights
Params
4.7 B
Context
—
30d
5.3 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 Qwen3.5-4B Ternary-Bonsai-2-9B-gguf
Deployment Open weights Open weights · also via API
Parameters 4.7 B 9.0 B
Architecture Qwen3_5ForConditionalGeneration —
Context length — 262,144
Licence apache-2.0 apache-2.0
Commercial use Allowed Allowed
Languages — —
Downloads 30d 5,274,172 1,161,688
Downloads all time 57.2 M 1.2 M
Quantizations on the Hub SAFETENSORS GGUF
Gated No No
First seen on the Hub 2026-02-27 2026-09-23
API input price / 1M tokens not on OpenRouter $0.08
API output price / 1M tokens not on OpenRouter $0.13
Est. cost per 1M input + 1M output tokens not on OpenRouter $0.21
Cached input / 1M tokens not on OpenRouter $0.04
AA Intelligence Index not on OpenRouter —
AA Coding Index not on OpenRouter —
AA Agentic Index not on OpenRouter —
Max output tokens not on OpenRouter 65,536
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-2-9B-gguf $0.21

Download trend

Daily snapshots, last 90 days (13 Aug – 10 Nov)

8.1 M317 K
Qwen3.5-4B Ternary-Bonsai-2-9B-gguf

VRAM side by side

On RTX 4090 · 24 GB · 8K context unless noted

Qwen3.5-4B · fp16 11.5 GB / 24 GB
✅ Runs comfortably

Adjacent comparisons