MiniMax-M3
MiniMaxAIothertextvisionvideo

MiniMax-M3

Updated Jun 18, 2026
Parameters
440.3B
Context
1,048,576
License
other
Updated
Jun 18, 2026

Intelligence benchmarks

Artificial Analysis indexes - compared with the best open and proprietary models

Intelligence

44.4

AA Index

Coding

43.4

AA Index

Agentic

68.6

AA Index

Intelligence Index - MiniMax-M3 vs. the field

Best open-weight models (you can run locally) and leading proprietary models for context.

Claude Fable 5 (with fallback)
59.9
closed
Claude Opus 4.8 (max)
55.7
closed
GPT-5.5 (xhigh)
54.8
closed
Claude Opus 4.7 (max)
53.5
closed
GLM-5.2 (max)
50.7
open
Gemini 3.5 Flash
50.2
closed
MiniMax-M3
44.4
open

Coding Index comparison

Claude Fable 5 (with fallback)
76.5
closed
GPT-5.5 (xhigh)
74.9
closed
Gemini 3.1 Pro Preview
68.8
closed
GLM-5.2 (max)
67
open
Claude Opus 4.8 (max)
56.7
closed
GPT-5.3 Codex (xhigh)
53.1
closed
DeepSeek V4 Pro (Max)
47.5
open
MiniMax-M3
43.4
open

Agentic Index comparison

Claude Opus 4.8 (max)
77.8
closed
GPT-5.5 (high)
72
closed
Claude Opus 4.7 (max)
71.3
closed
Gemini 3.5 Flash (medium)
70.4
closed
MiniMax-M3
68.6
open
MiMo-V2.5-Pro
67.4
open
DeepSeek V4 Pro (Max)
67.2
open

Benchmark data from Artificial Analysis · updated 2026-06-18.

Standard benchmarks

Performance across standard evaluations

BenchmarkScore
GPQA92.9

Will it run on your hardware?

Pick your GPU memory - see which quantizations fit, and the cheapest card for the rest

Too big for 24 GB at any quant
0 of 4 quantizations fit MiniMax-M3 with real runtime overhead.
Q4_K_M
255 GB
Q5_K_M
313 GB
Q8_0
471 GB
FP16
881 GB
fits tight too big

Need an exact figure for your context length? Use the VRAM calculator.

Run it locally

Copy-paste - running in under a minute

vLLMOpenAI-compatible API
vllm serve MiniMaxAI/MiniMax-M3-MXFP8

New to this? Start with Ollama · serve to many users with vLLM.

Deep dive

Notes, sources, and the full write-up

MiniMax-M3 is a 440.3B-parameter other model from MiniMax. It scores 44.4 on the Artificial Analysis Intelligence Index (coding 43.4). At Q4_K_M it needs roughly 255 GB of VRAM, placing it in the 48 GB+ / multi-GPU hardware tier.

Benchmarks

Artificial Analysis Intelligence Index - MiniMax-M3 vs. leading closed models:

ModelIntelligenceCodingGPQA
MiniMax-M344.443.492.9
Claude Fable 5 (with fallback)59.976.592.6
Claude Opus 4.8 (max)55.756.792
GPT-5.5 (xhigh)54.874.993.5
Claude Opus 4.7 (max)53.552.591.4
Gemini 3.5 Flash50.24592.2

Source: Artificial Analysis (2026-06-18).

Popularity

MiniMax-M3 has 228,413 downloads in the last month on HuggingFace and 37 likes.

Frequently asked

Quick answers to common questions

How much VRAM does MiniMax-M3 need?

MiniMax-M3 with 440.3B parameters needs approximately 255 GB at Q4_K_M quantization. Use our VRAM calculator for an exact estimate.

Is MiniMax-M3 better than other MiniMaxAI models?

MiniMax-M3 has 440.3B parameters with 1,048,576 context - a strong choice for general use.

What license is MiniMax-M3 under?

MiniMax-M3 is released under the other license, making it suitable for most commercial and personal projects.

What hardware runs MiniMax-M3 well?

With 440.3B parameters, MiniMax-M3 requires adequate VRAM. High-end GPUs like the RTX 4090 (24GB), RTX 5090 (32GB), or Mac Studio with unified memory are good options. Check our hardware directory for specific recommendations.

What is the best quantization for MiniMax-M3?

Q4_K_M is the recommended sweet spot - ~98% of FP16 quality at ~27% of the size. Q5_K_M (~313 GB) is an option if you have spare VRAM. Use our VRAM calculator to compare.

How long can MiniMax-M3's context window handle?

MiniMax-M3 supports a 1,048,576-token context window - enough for very long documents, codebases, or multi-turn conversations. Real-world usable context may vary by implementation.

What models compete with MiniMax-M3?

MiniMax-M3 competes with other 220B–660B. Browse our model directory for comparisons, benchmarks, and community reviews to find the best fit.

Nearby options

Similar models and compatible hardware by spec

Comments coming soon

Configure NEXT_PUBLIC_GISCUS_REPO_ID and NEXT_PUBLIC_GISCUS_CATEGORY_ID at giscus.app to enable.