Qwen3.6-35B-A3B-NVFP4 vs Ternary-Bonsai-2-27B-gguf

Specs, VRAM requirements and download trends — updated 23 October 2026.

nvidia · A · Open weights
Params
18.7 B
Context
—
30d
4.2 M
apache-2.0 · commercial OK
prism-ml · B · Open weights
Params
27.0 B
Context
—
30d
2.5 M
apache-2.0 · commercial OK

Specification comparison

Differences are highlighted; identical values are muted.

Specification Qwen3.6-35B-A3B-NVFP4 Ternary-Bonsai-2-27B-gguf
Deployment Open weights Open weights · also via API
Parameters 18.7 B 27.0 B
Architecture Qwen3_5MoeForConditionalGeneration —
Context length — 262,144
Licence apache-2.0 apache-2.0
Commercial use Allowed Allowed
Languages — —
Downloads 30d 4,194,170 2,484,375
Downloads all time 39.3 M 5.3 M
Quantizations on the Hub SAFETENSORS GGUF
Gated No No
First seen on the Hub 2026-05-27 2026-09-16
API input price / 1M tokens not on OpenRouter $0.075
API output price / 1M tokens not on OpenRouter $0.50
Est. cost per 1M input + 1M output tokens not on OpenRouter $0.58
Cached input / 1M tokens not on OpenRouter $0.038
AA Intelligence Index not on OpenRouter —
AA Coding Index not on OpenRouter —
AA Agentic Index not on OpenRouter —
Max output tokens not on OpenRouter 32,768
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-2-27B-gguf $0.58

Download trend

Daily snapshots, last 88 days (28 Jul – 23 Oct)

12.6 M406 K
Qwen3.6-35B-A3B-NVFP4 Ternary-Bonsai-2-27B-gguf A overtook B on 19 Oct

VRAM side by side

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

Qwen3.6-35B-A3B-NVFP4 · fp16 29.1 GB / 24 GB
❌ Won’t fit

Adjacent comparisons