MiniMax: MiniMax M2.5

Public pricingIntelligence 83/100Medium memoryRéflexion approfondieOutils

MiniMax: MiniMax M2.5 est un modèle texte conçu pour codage, débogage et travail technique. Il associe de bonnes performances en codage, un contexte de 197K tokens et un profil à faible coût pour un travail fiable sur coding, debugging, and technical writing.

Input

$0.15/1M

Output

$1.20/1M

Cached

$0.07/1M

Batch

$0.07/1M

Calculate your MiniMax M2.5 bill.

Set your workload — see cost at your exact volume.

What would MiniMax M2.5 cost you?

Adjust the workload to see your monthly bill.

1,00010,00050,000250,0001M10M

Technical specifications

MiniMax M2.5 at a glance.

Memory

196,608

tokens

Max reply

65,536

tokens

Memory tier

Medium

a long report or a codebase file

Tokenizer

—

Released

Feb 2026

Training cutoff

Nov 2025

Availability

Public pricing

Status

active

Benchmarks

Quality benchmarks

Independent evaluations from public leaderboards. Higher is better.

  • aime_2025

    86.3

  • gpqa_diamond

    85.2

  • ifeval

    70

  • swe_bench_verified

    80.2

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 M2.5

  • 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 M2.5 — 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 M2.5 costs roughly $59 per month. Input is $0.15 /1M tokens and output is $1.20 /1M tokens.
MiniMax M2.5 has a 196,608-token context window (medium memory — a long report or a codebase file). That means you can fit about 36,864 words of input and history in a single call.
Beyond text generation, MiniMax M2.5 supports deep step-by-step reasoning, calling functions / tools, strict JSON output, fine-tuning on your own data. It streams replies by default.
MiniMax M2.5 was released in February 2026, with training data cut off around November 2025.
Models in a similar class include MiniMax M2, MiniMax M2.1, MiniMax M2-her. The "Similar models" section below this FAQ links into each.

Still unsure?

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