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MiniMax M1

MiniMaxOpen-weight

1M context · — params · —

minimax/minimax-m1

MiniMax-M1 is a large-scale, open-weight reasoning model designed for extended context and high-efficiency inference. It leverages a hybrid Mixture-of-Experts (MoE) architecture paired with a custom "lightning attention" mechanism, allowing it...

Official Path Verified MiniMax International API Intl card
Cheapest blended: ¥0.85 / 1M tokens on MiniMaxGet custom quote

Reachability & verification

Live reachability

Probing…

Target (MiniMax): https://api.minimax.io/v1

Overseas reference latency (est.)

Singapore 170 ms London 200 ms

Live reachability probe

Measured in real time from the ModelHub gateway egress to this model's API endpoint. Green means reachable right now. Overseas reference latencies are estimates; the live probe is the proof of current reachability.

Official Path Verified by ModelHub

Pricing across providers

1

Prices are shown in each provider's billing currency — ¥ (CNY) for Chinese providers, $ (USD) for overseas gateways.

ProviderInput /1MOutput /1MBlendedCtxp50 latencyAPIVerified
MiniMaxminimax-m1¥0.4¥2.2¥0.851000K OAI119d ago

Works with

CursorClineAiderContinueOpenCodeOpen WebUI

Any OpenAI-compatible client works — point the base URL at the provider endpoint.

Capabilities

Code samplesExample usingMiniMax— the cheapest hosting for this model as of last verification. Swapbase_urlandmodelto use a different provider from the matrix above.PythoncURLNode.jsCopyfrom openai import OpenAI client = OpenAI( api_key="YOUR_API_KEY", base_url="https://api.minimax.io/v1", ) response = client.chat.completions.create( model="minimax-m1", messages=[{"role": "user", "content": "Hello!"}], ) print(response.choices[0].message.content)code

Code samples

Python
from openai import OpenAI

client = OpenAI(
    base_url="https://api.minimax.io/v1",
    api_key="YOUR_API_KEY",
)

resp = client.chat.completions.create(
    model="minimax-m1",
    messages=[{"role": "user", "content": "Hello!"}],
)
print(resp.choices[0].message.content)
cURL
curl https://api.minimax.io/v1/chat/completions \
  -H "Authorization: Bearer YOUR_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "minimax-m1",
    "messages": [{"role": "user", "content": "Hello!"}]
  }'
Node.js
import OpenAI from "openai";

const client = new OpenAI({
  baseURL: "https://api.minimax.io/v1",
  apiKey: "YOUR_API_KEY",
});

const resp = await client.chat.completions.create({
  model: "minimax-m1",
  messages: [{ role: "user", content: "Hello!" }],
});
console.log(resp.choices[0].message.content);

Technical specs

Context

1M

Max output

40K

Parameters

Release

Training cutoff

License

Similar models

Frequently asked questions

How much does MiniMax M1 cost?

The cheapest tracked blended price is ¥0.85 per 1M tokens on MiniMax. See the pricing matrix above for input/output splits per provider.

Can I use MiniMax M1 from outside China?

Availability depends on the hosting provider. Use our Path Planner on the MiniMax page to map a verified official-vs-brokered access path, including payment and KYC constraints.

Is MiniMax M1 open source?

Yes — MiniMax M1 is open-weight under the — license. You can self-host it or use any listed inference provider.

Is MiniMax M1 OpenAI-compatible?

Yes — at least one tracked provider exposes an OpenAI-compatible endpoint, so Cursor, Cline, Aider and similar clients work with just a base-URL change.

What is the maximum context window?

MiniMax M1 supports up to 1M tokens of context with a maximum output of 40K tokens.

Need verified access to MiniMax M1?

We broker vetted intros to MiniMax — payment, KYC and endpoint verification handled.

Request a brokerage intro