---
title: "MiniMax-M3 — LLM-TEST.com"
url: /models/minimax-m3/
canonical_url: https://llm-test.com/models/minimax-m3/
language: en
type: model
summary: "MiniMax's open-weight flagship, built for long-context and agentic workloads with a very large context window and strong tool use at a low served price."
last_updated: "2026-11-05"
---

# MiniMax-M3

_MiniMax · Flagship · open weights_

MiniMax's open-weight flagship, built for long-context and agentic workloads with a very large context window and strong tool use at a low served price.

## At a glance

- Released: Jun 3, 2026
- Provider: MiniMax
- Context window: 1,000,000 tokens
- Max output: 32,000 tokens
- Modalities: Text + image → text
- Knowledge cutoff: February 2026
- API model ID: `minimax-m3`
- License: Open weights (MiniMax Model License)

## Pricing

- Standard: $0.29 input / $1.16 output per 1M tokens
- Long context: $0.58 input / $2.32 output per 1M tokens
- Example: a 1,500-token prompt + 650-token answer ≈ $0.001 (standard)

## What's new vs MiniMax-M2 (December 2025)

- Much longer context and stronger agentic tool use
- Better coding and reasoning than M2
- Higher serving cost than the previous generation

## Best use cases

- **Long-context agents** — Sustains long-horizon agent sessions with large working memory.
- **Document-heavy RAG** — Reasons over very large corpora in a single context window.
- **Open deployment** — Self-hosts for teams needing frontier-style long context on their own stack.

## Strengths

- Huge context
- Strong agentic tool use
- Open weights

## Limitations

- Resource-intensive at full context
- Ecosystem smaller than Llama

## Where to get access

- Consumer app: MiniMax / Hailuo app — https://chat.minimax.io
- API: the MiniMax Open Platform — https://platform.minimax.io
- Also available: open weights for several MiniMax models
- Docs: https://platform.minimax.io/document/introduction

Full comparison and live pricing: https://llm-test.com/ · directory: https://llm-test.com/models/