MiniMax: MiniMax M2-her

Public pricingIntelligence 79/100Medium memoryتفكير عميقاستخدام الأدوات

MiniMax: MiniMax M2-her هو نموذج نصي مخصص لـالدردشة العامة والتحليل والاستخدام الإنتاجي. يجمع بين أداء عام ثابت وسياق بحجم 66K tokens وملف منخفض التكلفة لتقديم عمل موثوق في general chat, analysis, and production workloads. وهو خيار عملي عندما تكون الجودة والسرعة والتكلفة مهمة، خصوصًا للفرق التي تحتاج إلى مخرجات ثابتة ونشر مرن ومساحة للتوسع.

Input

$0.30/1M

Output

$1.20/1M

Cached

$0.03/1M

Batch

$0.15/1M

Calculate your MiniMax M2-her bill.

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What would MiniMax M2-her cost you?

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1,00010,00050,000250,0001M10M

Technical specifications

MiniMax M2-her at a glance.

Memory

65,536

tokens

Max reply

2,048

tokens

Memory tier

Medium

a long report or a codebase file

Tokenizer

—

Released

Dec 2025

Training cutoff

Sep 2025

Availability

Public pricing

Status

active

What it can do

Capabilities & limits.

  • Understands images
  • Deep step-by-step thinking
  • Uses tools / calls functions
  • Strict JSON output
  • Streams replies
  • Fine-tunable on your data

When to pick MiniMax M2-her

  • Multi-step reasoning, research agents, or hard math.
  • Agentic workflows that call tools or APIs.
  • High-volume workloads where unit cost matters.

When to look elsewhere

  • Your workload involves images — pick a vision-capable model instead.

Alternatives

Similar models to compare.

FAQ

MiniMax M2-her — the questions we see most.

Pricing, capabilities, alternatives — generated from the same data that powers the calculator above.

Get instant answers from our AI agent

At a typical workload of 50,000 conversations a month with 1,500-token prompts and 800-token replies, MiniMax M2-her costs roughly $71 per month. Input is $0.30 /1M tokens and output is $1.20 /1M tokens.
MiniMax M2-her has a 65,536-token context window (medium memory — a long report or a codebase file). That means you can fit about 12,288 words of input and history in a single call.
Beyond text generation, MiniMax M2-her supports deep step-by-step reasoning, calling functions / tools, strict JSON output, fine-tuning on your own data. It streams replies by default.
MiniMax M2-her was released in December 2025, with training data cut off around September 2025.
Models in a similar class include MiniMax M2.7, MiniMax M2.1, MiniMax M2. The "Similar models" section below this FAQ links into each.

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