Qwen3.6-35B-A3B-NVFP4 vs Kimi-Linear-48B-A3B-Instruct
Specs, VRAM requirements and download trends — updated 26 October 2026.
nvidia · A · Open weights
Params
18.7 B
Context
—
30d
4.0 M
apache-2.0 · commercial OK
moonshotai · B · Open weights
Params
49.1 B
Context
—
30d
136 K
mit · commercial OK
Specification comparison
Differences are highlighted; identical values are muted.
| Specification | Qwen3.6-35B-A3B-NVFP4 | Kimi-Linear-48B-A3B-Instruct |
|---|---|---|
| Parameters | 18.7 B | 49.1 B |
| Architecture | Qwen3_5MoeForConditionalGeneration | KimiLinearForCausalLM |
| Context length | — | — |
| Licence | apache-2.0 | mit |
| Commercial use | Allowed | Allowed |
| Languages | — | — |
| Downloads 30d | 3,971,809 | 136,030 |
| Downloads all time | 42.1 M | 1.4 M |
| Quantizations on the Hub | SAFETENSORS | SAFETENSORS |
| Gated | No | No |
| First seen on the Hub | 2026-05-27 | 2025-10-30 |
Download trend
Daily snapshots, last 90 days (13 Aug – 10 Nov)
12.6 M136 K
Qwen3.6-35B-A3B-NVFP4
Kimi-Linear-48B-A3B-Instruct
VRAM side by side
On RTX 4090 · 24 GB · 8K context unless noted
Qwen3.6-35B-A3B-NVFP4 · fp16
29.1 GB / 24 GB
Kimi-Linear-48B-A3B-Instruct · fp16
115.9 GB / 24 GB