MiniMax: MiniMax M1

Public pricingIntelligence 76/100Huge memory深い思考ツール利用

MiniMax: MiniMax M1 は テキスト モデルで、推論と問題解決 に向いています。深い推論と計画、低遅延で効率的な推論、1M+ tokensのコンテキスト、バランス型コストの特性を組み合わせ、reasoning, analysis, and hard problem solving で安定した動作を支えます。遅延・コスト・スループット 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

$0.40/1M

Output

$2.20/1M

Cached

$0.04/1M

Batch

$0.20/1M

Calculate your MiniMax M1 bill.

Set your workload — see cost at your exact volume.

What would MiniMax M1 cost you?

Adjust the workload to see your monthly bill.

1,00010,00050,000250,0001M10M

Technical specifications

MiniMax M1 at a glance.

Memory

1,000,000

tokens

Max reply

40,000

tokens

Memory tier

Huge

multiple books or whole repositories

Tokenizer

—

Released

Jun 2025

Training cutoff

Jun 2024

Availability

Public pricing

Status

active

Benchmarks

Quality benchmarks

Independent evaluations from public leaderboards. Higher is better.

  • swe_bench_verified

    56

  • livecodebench

    65

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 M1

  • Multi-step reasoning, research agents, or hard math.
  • Agentic workflows that call tools or APIs.
  • Long documents, full codebases, or extensive chat histories.
  • 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 M1 — 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 M1 costs roughly $118 per month. Input is $0.40 /1M tokens and output is $2.20 /1M tokens.
MiniMax M1 has a 1,000,000-token context window (huge memory — multiple books or whole repositories). That means you can fit about 187,500 words of input and history in a single call.
Beyond text generation, MiniMax M1 supports deep step-by-step reasoning, calling functions / tools, strict JSON output, fine-tuning on your own data. It streams replies by default.
MiniMax M1 was released in June 2025, with training data cut off around June 2024.
Models in a similar class include MiMo-V2-Omni, Qwen3.5 397B A17B, GLM 4.6. The "Similar models" section below this FAQ links into each.

Still unsure?

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