MiniMax M2.5 — local AI model by MiniMax
Written by Jakub Rusinowski · Last updated
MiniMax's 230B MoE model scoring 80.2% on SWE-bench — technically outperforming Claude Opus 4.6 on this benchmark — at 22.7× lower cost on output tokens. Supports up to 1M token context and includes multimodal capabilities. Available under a modified MIT license requiring attribution. Primarily API-accessed but self-hostable on multi-GPU infrastructure.
Variants
The smallest MiniMax M2.5 variant needs about 140 GB of VRAM at Q4_K_M — quantized weights plus framework overhead, before any KV cache.
| Model | VRAM at Q4 | VRAM | Context | Run it |
|---|---|---|---|---|
| MiniMax M2.5 230B → 230B | ~139.6 GB | 1,000,000 | ollama run minimax-m2-5 |
Memory is quantized weights plus overhead at Q4_K_M, from the same engine as the GPU & VRAM checker.
How to run MiniMax M2.5 locally
Install Ollama, then pull the tag.
ollama run minimax-m2-5Pick a size above for its own VRAM figure, speed estimate and install command.
Licence
Commercial use permitted. No usage restrictions beyond attribution.
Applies to: MiniMax M2.5 230BRecommended GPU
The cheapest catalogued GPU that runs MiniMax M2.5 locally (min 140 GB VRAM) is the Apple M3 Ultra (512 GB).
Can I run MiniMax M2.5 on my GPU?
- MiniMax M2.5 on AMD Ryzen AI Max+ 395
- MiniMax M2.5 on Apple M1 Max
- MiniMax M2.5 on Apple M1 Ultra
- MiniMax M2.5 on Apple M2 Max
- MiniMax M2.5 on Apple M2 Ultra
- MiniMax M2.5 on Apple M3 Max
- MiniMax M2.5 on Apple M4 Max
- MiniMax M2.5 on Apple M5 Max
- MiniMax M2.5 on Apple M5 Pro
- MiniMax M2.5 on NVIDIA A100 80GB (PCIe)
- MiniMax M2.5 on NVIDIA DGX Spark
- MiniMax M2.5 on NVIDIA H100 80GB (PCIe)
- MiniMax M2.5 on NVIDIA RTX PRO 6000 Blackwell
MiniMax M2.5 — frequently asked questions
How much VRAM does MiniMax M2.5 need?
MiniMax M2.5 needs about 140 GB VRAM at Q4_K_M quantization for its smallest variant. Variants: MiniMax M2.5 230B (140 GB, Q4_K_M). On Apple Silicon, unified memory counts toward this requirement.
Can I run MiniMax M2.5 on an RTX 4090 (24 GB)?
MiniMax M2.5's smallest variant needs about 140 GB, which exceeds a single RTX 4090 (24 GB). Use multiple GPUs, a higher-VRAM card, or Apple Silicon with large unified memory.
What quantization should I use for MiniMax M2.5?
Q4_K_M is the best balance of quality and VRAM for MiniMax M2.5 in most cases. Choose Q8_0 for near-lossless quality if you have spare VRAM, or smaller quants (Q3/Q2) only when memory is tight.
How do I run MiniMax M2.5 with Ollama?
MiniMax M2.5 has no local Ollama tag — the published tag is cloud-hosted, so running it sends your prompts to a hosted GPU rather than your own machine.