Ternary-Bonsai-2-27B-gguf vs Qwen3-32B-FP8

Specs, VRAM requirements and download trends — updated 5 October 2026.

prism-ml · A · Open weights
Params
27.0 B
Context
—
30d
1.6 M
apache-2.0 · commercial OK
Qwen · B · Open weights
Params
32.8 B
Context
40,960
30d
185 K
apache-2.0 · commercial OK

Specification comparison

Differences are highlighted; identical values are muted.

Specification Ternary-Bonsai-2-27B-gguf Qwen3-32B-FP8
Deployment Open weights · also via API Open weights
Parameters 27.0 B 32.8 B
Architecture — Qwen3ForCausalLM
Context length 262,144 40,960
Licence apache-2.0 apache-2.0
Commercial use Allowed Allowed
Languages — —
Downloads 30d 1,641,591 185,282
Downloads all time 6.2 M 4.5 M
Quantizations on the Hub GGUF SAFETENSORS
Gated No No
First seen on the Hub 2026-09-16 2025-04-28
API input price / 1M tokens $0.075 not on OpenRouter
API output price / 1M tokens $0.50 not on OpenRouter
Est. cost per 1M input + 1M output tokens $0.58 not on OpenRouter
Cached input / 1M tokens $0.038 not on OpenRouter
AA Intelligence Index — not on OpenRouter
AA Coding Index — not on OpenRouter
AA Agentic Index — not on OpenRouter
Max output tokens 32,768 not on OpenRouter
API providers 1 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

Ternary-Bonsai-2-27B-gguf $0.58

Download trend

Daily snapshots, last 53 days (19 Sep – 10 Nov)

4.9 M185 K
Ternary-Bonsai-2-27B-gguf Qwen3-32B-FP8

VRAM side by side

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

Qwen3-32B-FP8 · fp16 43.2 GB / 24 GB
❌ Won’t fit

Adjacent comparisons