MiniMax: MiniMax M2.5

Public pricingIntelligence 83/100Medium memory深い思考ツール利用

MiniMax: MiniMax M2.5 はテキストモデルで、コーディング、デバッグ、技術作業に向いています。高いコーディング性能、197K tokensのコンテキスト、低コストの特性を組み合わせ、coding, debugging, and technical writing で安定した動作を支えます。品質・速度・コストが重要な場面に合っており、安定した出力、柔軟な導入、拡張性を求めるチームに実用的です。安定した応答、長い文脈処理、そして試作から本番まで広く使える柔軟さが必要な場面で役立ちます。安定した応答、長い文脈処理、そして試作から本番まで広く使える柔軟さが必要な場面で役立ちます。安定した応答、長い文脈処理、そして試作から本番まで広く使える柔軟さが必要な場面で役立ちます。

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.

Conversations per month50,000

1,00010,00050,000250,0001M10M

Input length

Output length

Repeated questions?

Replies can wait a few hours (batch discount)

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?

Compare MiniMax M2.5 against 100+ other models.

Open the full wizard — pick a use case, set your usage, and see side-by-side monthly costs in under a minute.

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