MiniMax M2.1

MiniMaxminimax/minimax-m2.1Providers: 3
Inputi$0.30per 1M tokens
Outputi$1.20per 1M tokens
Contexti200K204,800 tokens
ReleasedDec 23, 2025Max output: 128K

About this model

MiniMax M2.1 is an AI model from MiniMax, made available through the API on December 23, 2025. It can read up to 204,800 tokens in one request, roughly 384 pages of text, and write up to 131,072 tokens in a single answer.

Through the API it costs $0.30 per million input tokens and $1.20 per million output tokens. Its pricing sits in the middle of the market.

It supports extended reasoning: it can "think" step by step before answering, which helps on maths, code and complex questions. It can call tools and functions, so developers can connect it to search, databases or other software. Its weights are openly published (MiniMaxAI/MiniMax-M2.1), so it can also be downloaded and run on your own hardware.

Quality scores

Rankings →

Not rated yet. Independent test results usually appear a few weeks after a model is released.

Benchmark data: Epoch AI, licensed CC BY 4.0

Where to use it

Companies that serve this model through an API: 3. Prices per million tokens, cheapest first.

ProviderInputiOutputiContextiUptime (24 h)i
NovitaCheapestfp8
$0.30$1.20200K99.5%
MinimaxOfficialCheapestfp8
$0.30$1.20200K98.8%
MinimaxOfficialfp8
$0.30$2.40200K98.3%

Availability and prices come from OpenRouter’s public API and are refreshed daily. Uptime is the share of successful requests over the last 24 hours. Some providers run a compressed version of open models (fp8, int4), which is cheaper but can be slightly less accurate.

Use it in your code

Call MiniMax M2.1 through OpenRouter’s OpenAI-compatible API: create a key on openrouter.ai, then run one of these examples.

curl https://openrouter.ai/api/v1/chat/completions \
  -H "Authorization: Bearer $OPENROUTER_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{"model": "minimax/minimax-m2.1", "messages": [{"role": "user", "content": "Hello! What can you do?"}]}'

The same code works with every model on this site: only the model ID changes. Many labs also offer their own API and SDK.

What it costs in practice

  • 1,000 chat replies
    ≈ 500 tokens in, 300 out each
    $0.51
  • Summarise a 100-page document
    ≈ 50,000 tokens in, 1,000 out
    $0.016
  • An app with 10,000 requests a day for a month
    ≈ 1,000 tokens in, 400 out each
    $234

Cost calculator →

Similar-priced alternatives

ModelInputiOutputiContexti
$0.30$1.50192KCompare with ⇄
$0.30$1.201MCompare with ⇄
Gemini 3.5 Flash LiteGoogle DeepMind
$0.30$2.501MCompare with ⇄
$0.30$1.201MCompare with ⇄
$0.30$1.801MCompare with ⇄
$0.35$1.50128KCompare with ⇄

Frequently asked questions

How much does MiniMax M2.1 cost?
MiniMax M2.1 costs $0.30 per million input tokens and $1.20 per million output tokens through the API. For example, 1,000 chat replies of about 500 tokens in and 300 out cost around $0.51.
What is the context window of MiniMax M2.1?
MiniMax M2.1 can read up to 204,800 tokens in one request, about 384 pages of text. It can write up to 131,072 tokens in a single answer.
Is MiniMax M2.1 open source?
Yes. Its weights are published (MiniMaxAI/MiniMax-M2.1), so you can download it and run it on your own hardware, or use it through one of 3 API providers.
Who makes MiniMax M2.1?
MiniMax M2.1 is made by MiniMax. It became available through the API on December 23, 2025.
Can MiniMax M2.1 read images?
No. MiniMax M2.1 only accepts text as input.
What are the alternatives to MiniMax M2.1?
Models with a similar price from other companies include Command A+, DeepSeek V4.1 Flash and Gemini 3.5 Flash Lite. You can compare them side by side on this page.