MiniMax-M2.5 vs qwen3.8-flash-next-gguf

Specs, VRAM requirements and download trends — updated 10 November 2026.

MiniMaxAI · A · Open weights
Params
228.7 B
Context
196,608
30d
1.2 M
antirez · B · Open weights
Params
180.0 B
Context
—
30d
251 K

Specification comparison

Differences are highlighted; identical values are muted.

Specification MiniMax-M2.5 qwen3.8-flash-next-gguf
Deployment Open weights · also via API Open weights
Parameters 228.7 B 180.0 B
Architecture MiniMaxM2ForCausalLM —
Context length 196,608 —
Licence other other
Commercial use Unknown Unknown
Languages — —
Downloads 30d 1,202,828 251,356
Downloads all time 6.7 M 442 K
Quantizations on the Hub SAFETENSORS GGUF
Gated No No
First seen on the Hub 2026-02-12 2026-09-14
API input price / 1M tokens $0.30 not on OpenRouter
API output price / 1M tokens $1.20 not on OpenRouter
Est. cost per 1M input + 1M output tokens $1.50 not on OpenRouter
Cached input / 1M tokens $0.06 not on OpenRouter
AA Intelligence Index — not on OpenRouter
AA Coding Index — not on OpenRouter
AA Agentic Index — not on OpenRouter
Max output tokens 58,982 not on OpenRouter
API providers 5 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

MiniMax-M2.5 $1.50

Download trend

Daily snapshots, last 90 days (13 Aug – 10 Nov)

1.4 M180 K
MiniMax-M2.5 qwen3.8-flash-next-gguf

VRAM side by side

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

qwen3.8-flash-next-gguf · Q4 222.5 GB / 24 GB
❌ Won’t fit
MiniMax-M2.5 · fp16 @ 192K ctx 1,076.9 GB / 24 GB
❌ Won’t fit

Adjacent comparisons