MiniMax: MiniMax-01

Public pricingIntelligence 77/100Huge memoryVisioneUso di strumenti

MiniMax: MiniMax-01 è un modello multimodale pensato per comprensione visione-linguaggio. Unisce la gestione multimodale degli input e la comprensione delle immagini, un contesto di 1M+ tokens e un profilo a basso costo per un lavoro affidabile in vision-language understanding and content analysis.

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.

Still unsure?

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