MiniMax: MiniMax-01

Public pricingIntelligence 77/100Huge memory視覚ツール利用

MiniMax: MiniMax-01 は マルチモーダル モデルで、視覚言語理解 に向いています。マルチモーダル入力処理、画像理解、1M+ tokensのコンテキスト、低コストの特性を組み合わせ、vision-language understanding and content analysis で安定した動作を支えます。精度・文脈・制御 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

$0.20/1M

Output

$1.10/1M

Cached

$0.02/1M

Batch

$0.10/1M

Calculate your MiniMax-01 bill.

Set your workload — see cost at your exact volume.

What would MiniMax-01 cost you?

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1,00010,00050,000250,0001M10M

Technical specifications

MiniMax-01 at a glance.

Memory

1,000,192

tokens

Max reply

1,000,192

tokens

Memory tier

Huge

multiple books or whole repositories

Tokenizer

—

Released

Jan 2025

Training cutoff

Oct 2024

Availability

Public pricing

Status

active

Benchmarks

Quality benchmarks

Independent evaluations from public leaderboards. Higher is better.

  • mmlu

    86.9

  • gpqa_diamond

    54.4

  • humaneval

    86.9

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-01

  • Screenshot analysis, image understanding, or document OCR.
  • 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

  • Very latency-sensitive, real-time apps where every millisecond counts.

Alternatives

Similar models to compare.

FAQ

MiniMax-01 — 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-01 costs roughly $59 per month. Input is $0.20 /1M tokens and output is $1.10 /1M tokens.
MiniMax-01 has a 1,000,192-token context window (huge memory — multiple books or whole repositories). That means you can fit about 187,536 words of input and history in a single call.
Beyond text generation, MiniMax-01 supports understanding images, calling functions / tools, strict JSON output, fine-tuning on your own data. It streams replies by default.
MiniMax-01 was released in January 2025, with training data cut off around October 2024.
Models in a similar class include Ministral 3 14B 2512, GPT-5.4 Nano, Qwen3 VL 235B A22B Instruct. The "Similar models" section below this FAQ links into each.

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