MiniMax/Mixture of Experts

MiniMaxMiniMax-M2.5 228.7B

chat
228.7B
Parameters (21B active)
192K
Context length
15
Benchmarks
17
Quantizations
493K
HF downloads
Architecture
MoE
Released
2026-03-10
Layers
62
KV Heads
8
Head Dim
128
Family
minimax

Quantization Options

QuantBitsVRAMQuality
IQ2_XXS2.3868.5 GBlow
IQ2_M2.9384.3 GBlow
Q2_K3.1690.8 GBlow
IQ3_XXS3.2593.4 GBlow
IQ3_XS3.5100.5 GBlow
Q3_K_S3.64104.5 GBlow
IQ3_M3.76108.0 GBlow
Q3_K_M4114.8 GBlow
Q3_K_L4.3123.4 GBmoderate
IQ4_XS4.46128.0 GBmoderate
Q4_K_S4.67134.0 GBmoderate
Q4_K_M4.89140.3 GBgood
Q5_K_S5.57159.7 GBgood
Q5_K_M5.7163.4 GBgood
Q6_K6.56188.0 GBexcellent
Q8_08.5243.5 GBlossless
FP1616457.9 GBlossless

Select your GPU above to see speed estimates and compatibility for each quantization.

READY TO RUN THIS?RENT BY THE HOUR

RENT A GPU AND RUN MINIMAX-M2.5 228.7B NOW

Spin up an A100 / H100 / 4090 in ~60s. Pay by the second. Cancel anytime.

Community Ratings

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Benchmarks (15)

Arena Elo1495
τ²-Bench86.8
MATH86.3
GPQA85.2
GPQA Diamond84.8
LiveCodeBench82.6
AIME78.3
AA Math78.3
IFBench72.3
AA Long Context61.0
AA Intelligence41.9
AA Coding37.4
SciCode36.1
Terminal-Bench25.8
HLE19.1

Run this model

Easiest way to get started·Beginners
DOCS ↗
curl -fsSL https://ollama.com/install.sh | sh
$ollama run minimax:228b-q4_K_M

Downloads and runs automatically. Add --verbose for speed stats.

▸ SETUP GUIDE
>_

Auto-setup with fitmyllm CLI

Detects your GPU, recommends the best model, downloads it, and starts chatting — zero config. Benchmarks your speed and contributes anonymous data to improve predictions.

pip install fitmyllmthen run fitmyllmLearn more
Auto-detect GPULive tok/s in chatSpeed benchmarks9 inference engines

GPUs that can run this model

At Q4_K_M quantization. Sorted by minimum VRAM.

NVIDIA H200 NVL
141 GB VRAM • 4890 GB/s
NVIDIA
$35000
NVIDIA H200 SXM 141 GB
141 GB VRAM • 4890 GB/s
NVIDIA
$30000
NVIDIA B300
144 GB VRAM • 4100 GB/s
NVIDIA
$35000
AMD Instinct MI300X
192 GB VRAM • 5300 GB/s
AMD
$15000
Apple M2 Ultra (192GB)
192 GB VRAM • 800 GB/s
APPLE
$5499
Apple M3 Ultra (192GB)
192 GB VRAM • 800 GB/s
APPLE
$6999
Apple M4 Ultra (192GB)
192 GB VRAM • 1092 GB/s
APPLE
$7499
AMD Radeon Instinct MI300A
192 GB VRAM • 10300 GB/s
AMD
$12000
AMD Radeon Instinct MI300X
192 GB VRAM • 10300 GB/s
AMD
$15000
AMD Radeon Instinct MI308X
192 GB VRAM • 10300 GB/s
AMD
$12000
Apple M5 Ultra (192GB)
192 GB VRAM • 1228 GB/s
APPLE
AMD Radeon Instinct MI325X
288 GB VRAM • 10300 GB/s
AMD
$20000
AMD Radeon Instinct MI350X
288 GB VRAM • 8190 GB/s
AMD
$25000
AMD Radeon Instinct MI355X
288 GB VRAM • 8190 GB/s
AMD
$30000
Apple M4 Ultra (384GB)
384 GB VRAM • 1092 GB/s
APPLE
$9999
Apple M5 Ultra (384GB)
384 GB VRAM • 1228 GB/s
APPLE

Find the best GPU for MiniMax-M2.5 228.7B

Build Hardware for MiniMax-M2.5 228.7B
▸ SPEC SHEET

MiniMax-M2.5 228.7B228.7B MoE.

▸ SPECIFICATIONS
PARAMETERS
228.7B (21B active)
ARCHITECTURE
Mixture of Experts
CONTEXT LENGTH
192K tokens
CAPABILITIES
chat
RELEASE DATE
2026-03-10
PROVIDER
MiniMax
FAMILY
minimax
▸ VRAM REQUIREMENTS
QUANTBPWVRAMQUALITY
IQ2_XXS2.3868.5 GB65%
IQ2_M2.9384.3 GB75%
Q2_K3.1690.8 GB78%
IQ3_XXS3.2593.4 GB82%
IQ3_XS3.5100.5 GB84%
Q3_K_S3.64104.5 GB85%
IQ3_M3.76108.0 GB86%
Q3_K_M4114.8 GB88%
Q3_K_L4.3123.4 GB90%
IQ4_XS4.46128.0 GB92%
Q4_K_S4.67134.0 GB93%
Q4_K_M4.89140.3 GB94%
Q5_K_S5.57159.7 GB96%
Q5_K_M5.7163.4 GB96%
Q6_K6.56188.0 GB97%
Q8_08.5243.5 GB100%
FP1616457.9 GB100%
§ 01BENCHMARK SCORES
MATH86.3
GPQA85.2
Arena Elo1495.0
GPQA Diamond84.8
HLE19.1
AA Intelligence41.9
AA Coding37.4
aa_ifbench72.3
aa_terminal_bench25.8
aa_tau286.8
aa_scicode36.1
aa_lcr61.0
LiveCodeBench82.6
AIME78.3
AA Math78.3
§ 02RUN COMMAND

Run MiniMax-M2.5 228.7B locally with Ollama — needs 140.3 GB VRAM at Q4_K_M:

$ollama run minimax:228b