Qwen3.8-Flash-Next-GSQ-RCO-GGUF vs Qwen3.8-27B-Turbo-Brilliance-50X-Reasoning-Instruct-NEO-MAX-MTP-GGUF
Specs, VRAM requirements and download trends — updated 6 November 2026.
ISTA-DASLab · A · Open weights
Params
180.0 B
Context
—
30d
6.8 M
apache-2.0 · commercial OK
DavidAU · B · Open weights
Params
27.0 B
Context
—
30d
1.0 M
apache-2.0 · commercial OK
Specification comparison
Differences are highlighted; identical values are muted.
| Specification | Qwen3.8-Flash-Next-GSQ-RCO-GGUF | Qwen3.8-27B-Turbo-Brilliance-50X-Reasoning-Instruct-NEO-MAX-MTP-GGUF |
|---|---|---|
| Parameters | 180.0 B | 27.0 B |
| Architecture | — | — |
| Context length | — | — |
| Licence | apache-2.0 | apache-2.0 |
| Commercial use | Allowed | Allowed |
| Languages | — | 16 |
| Downloads 30d | 6,843,896 | 1,008,853 |
| Downloads all time | 11.0 M | 1.0 M |
| Quantizations on the Hub | GGUF | GGUF |
| Gated | No | No |
| First seen on the Hub | 2026-09-07 | 2026-09-29 |
Download trend
Daily snapshots, last 40 days (2 Oct – 10 Nov)
7.8 M884 K
Qwen3.8-Flash-Next-GSQ-RCO-GGUF
Qwen3.8-27B-Turbo-Brilliance-50X-Reasoning-Instruct-NEO-MAX-MTP-GGUF
VRAM side by side
On RTX 4090 · 24 GB · 8K context unless noted
Qwen3.8-27B-Turbo-Brilliance-50X-Reasoning-Instruct-NEO-MAX-MTP-GGUF · Q4_K_M
24.9 GB / 24 GB
Adjacent comparisons
Qwen3.8-Flash-Next-GSQ-RCO-GGUF vs Qwen3.8-Flash-Next-GSQ-RCO-abliterated-GGUF
GLM-5.3-Flash vs Qwen3.8-Flash-Next-GSQ-RCO-GGUF
Qwen3.8-Flash-Next vs Qwen3.8-Flash-Next-GSQ-RCO-GGUF
Qwen3.8-27B-iMatrix-NVFP4-MTP-GGUF vs Qwen3.8-Flash-Next-GSQ-RCO-GGUF
Qwen3.8-27B-Uncensored-HauhauCS-Aggressive-MTP-GGUF vs Qwen3.8-Flash-Next-GSQ-RCO-GGUF
Qwen3.6-35B-A3B-MTP-GGUF vs Qwen3.8-Flash-Next-GSQ-RCO-GGUF