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

Specs, VRAM requirements and download trends — updated 9 November 2026.

Qwen · A · Open weights
Params
9.7 B
Context
—
30d
6.4 M
apache-2.0 · commercial OK
prism-ml · B · Open weights
Params
2.0 B
Context
—
30d
994 K
apache-2.0 · commercial OK

Specification comparison

Differences are highlighted; identical values are muted.

Specification Qwen3.5-9B Ternary-Bonsai-2-2B-gguf
Deployment Open weights · also via API Open weights
Parameters 9.7 B 2.0 B
Architecture Qwen3_5ForConditionalGeneration —
Context length 262,144 —
Licence apache-2.0 apache-2.0
Commercial use Allowed Allowed
Languages — —
Downloads 30d 6,366,157 994,061
Downloads all time 75.3 M 994 K
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 $0.17 not on OpenRouter
API output price / 1M tokens $0.25 not on OpenRouter
Est. cost per 1M input + 1M output tokens $0.42 not on OpenRouter
Cached input / 1M tokens — not on OpenRouter
AA Intelligence Index — not on OpenRouter
AA Coding Index 28.7 not on OpenRouter
AA Agentic Index 1.2 not on OpenRouter
Max output tokens 235,929 not on OpenRouter
API providers 6 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

Qwen3.5-9B $0.42

Download trend

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

14.3 M931 K
Qwen3.5-9B Ternary-Bonsai-2-2B-gguf

VRAM side by side

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

Qwen3.5-9B · fp16 23.2 GB / 24 GB
⚠️ Tight — reduce context

Adjacent comparisons