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MODEL COMPARISON

Qwen3.8-Flash-Next vs MiniMax-M2.5

Qwen3.8-Flash-Next needs less memory: about 146 GB (text weights only) versus about 168 GB for MiniMax-M2.5, a difference of 22 GB. Qwen3.8-Flash-Next has 2 runtimes in release (Ollama and LM Studio). MiniMax-M2.5 has no runtime listed as in release.

SIDE BY SIDE

CompareQwen3.8-Flash-NextMiniMax-M2.5
Memory neededabout 146 GB · More than 128 GB (server / multi-GPU) (text weights only)about 168 GB · More than 128 GB (server / multi-GPU)
Recommended quantQ4_K_M · 119.6 GBQ4_K_M · 138.3 GB
llama.cpp supportArchitecture listedChecked 22 Oct 2026Architecture listedChecked 22 Oct 2026
Ollama supportReleasedChecked 22 Oct 2026UnknownVersion v0.40.8 · Checked 22 Oct 2026
LM Studio supportReleasedChecked 22 Oct 2026Upload availableChecked 22 Oct 2026
MLX / mlx-lm supportUpload availableChecked 22 Oct 2026Upload availableChecked 22 Oct 2026
vLLM supportArchitecture listedChecked 22 Oct 2026Architecture listedChecked 22 Oct 2026
On Hugging Face since24 Aug 202612 Feb 2026
LicenseNot recorded in this snapshot — see the model card ↗Not recorded in this snapshot — see the model card ↗
PublisherQwenMiniMaxAI
Downloads2.7M859.4K
Model pageOpen Qwen3.8-Flash-Next ↗Open MiniMax-M2.5 ↗
Fits these setups
  • Mac 16 GBWon't fit
  • Mac 24 GBWon't fit
  • Mac 32 GBWon't fit
  • Mac 64 GBWon't fit
  • GPU 8 GB + 32 GB RAMWon't fit
  • GPU 12 GB + 32 GB RAMWon't fit
  • GPU 16 GB + 32 GB RAMWon't fit
  • GPU 24 GB + 64 GB RAMWon't fit
  • CPU 32 GBWon't fit
  • CPU 64 GBWon't fit
  • Mac 16 GBWon't fit
  • Mac 24 GBWon't fit
  • Mac 32 GBWon't fit
  • Mac 64 GBWon't fit
  • GPU 8 GB + 32 GB RAMWon't fit
  • GPU 12 GB + 32 GB RAMWon't fit
  • GPU 16 GB + 32 GB RAMWon't fit
  • GPU 24 GB + 64 GB RAMWon't fit
  • CPU 32 GBWon't fit
  • CPU 64 GBWon't fit

Memory needed is the same estimate shown on each model page: the recommended observed file plus 20% headroom and a 1.5 GB runtime allowance. See which setups fit →

These are estimates from observed file sizes, not benchmarks. They don’t account for long contexts or the KV cache, and fitting does not establish runtime compatibility or speed.