Ternary-Bonsai-2-27B-gguf vs Qwen3-8B-Base

Specs, VRAM requirements and download trends — updated 18 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
8.2 B
Context
32,768
30d
550 K
apache-2.0 · commercial OK

Specification comparison

Differences are highlighted; identical values are muted.

Specification Ternary-Bonsai-2-27B-gguf Qwen3-8B-Base
Deployment Open weights · also via API Open weights
Parameters 27.0 B 8.2 B
Architecture — Qwen3ForCausalLM
Context length 262,144 32,768
Licence apache-2.0 apache-2.0
Commercial use Allowed Allowed
Languages — —
Downloads 30d 1,641,591 550,277
Downloads all time 6.2 M 13.6 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 M386 K
Ternary-Bonsai-2-27B-gguf Qwen3-8B-Base A overtook B on 20 Sep

VRAM side by side

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

Qwen3-8B-Base · fp16 19.7 GB / 24 GB
⚠️ Tight — reduce context

Adjacent comparisons