MiniMax (minimax.io): MiniMax M1 80K

Open hybrid-attention MoE reasoning model with a million-token context and an 80K thinking budget

Model lab: MiniMax (minimax.io)
Model family: minimax

Model resources

Hugging Face

Modalitiestext → text

Context window1,000,000

Maximum output80,000

InputUSD 0.44 / 1M tokens

OutputUSD 1.76 / 1M tokens

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Quickstart

Use your Moduck API Key, set the API base URL to https://api.moduck.ai/v1, and set the model parameter to minimax/minimax-m1-80k.

import os
import requests

base_url = "https://api.moduck.ai/v1"
api_key = os.environ["MODUCK_API_KEY"]
model_id = "minimax/minimax-m1-80k"

response = requests.post(
    f"{base_url}/chat/completions",
    headers={
        "Authorization": f"Bearer {api_key}",
        "Content-Type": "application/json",
    },
    json={
        "model": model_id,
        "messages": [{"role": "user", "content": "Hello!"}],
        "stream": False,
    },
    timeout=60,
)
response.raise_for_status()
print(response.json())

Use the familiar OpenAI-style chat request format to make model integration easier.

MiniMax M1 80K API Pricing

Type	Price information
Input	USD 0.44 / 1M tokens
Output	USD 1.76 / 1M tokens

Benchmarks

Intelligence Index · v4.311.7

Coding Index—

Agentic Index—

Performance

Output speed68.87 tokens/s

Time to first token1.79 s

Time to first answer token—

End-to-end response time—

Performance trends

Throughput68.87 tok/sCurrent

Time to first token1.79 sCurrent

End-to-end latency7.3 sCurrent

Throughput

Current68.87 tok/s

Window average67.0 tok/s

Time to first token

Current1.79 s

Window average0.8 s

End-to-end latency

Current7.3 s

Window average7.5 s

Tail latency (P99)

Current13.5 s

Window average16.9 s

Prompt cache hit rate

Current19.3%

Window average23.4%

Error rate

Current0.0%

Window average0.1%

Availability

Uptime100%At least one provider responded

Availability100%Requests actually served

Error rate0%Share of failed requests

Served requests, hour by hour

24 hours agoNow

MiniMax M1 80K Compare models

Model	Input price	Output price	Context window	Capabilities
MiniMax M1 80KThis page	USD 0.44 / 1M tokens	USD 1.76 / 1M tokens	1,000,000	Text output · Reasoning · Tool calling
MiniMax-M2.7	USD 0.064 / 1M tokens	USD 0.256 / 1M tokens	204,800	Text output · Reasoning · Tool calling
MiniMax-M2.7-highspeed	USD 0.48 / 1M tokens	USD 1.92 / 1M tokens	204,800	Text output · Reasoning · Tool calling
MiniMax-M2.5-highspeed	USD 0.24 / 1M tokens	USD 1.92 / 1M tokens	204,800	Text output · Reasoning · Tool calling
MiniMax-M2.5	USD 0.15504 / 1M tokens	USD 0.9032 / 1M tokens	204,800	Text output · Reasoning · Tool calling

Model specifications

Input: text
Output: text
Context window: 1,000,000
Maximum output: 80,000
Release date: 2025-06-17
Attachments: No
Reasoning: Yes
Tool calling: Yes
Temperature setting: Yes
Open weights: Yes

Frequently asked questions

What is MiniMax M1 80K for?

Open hybrid-attention MoE reasoning model with a million-token context and an 80K thinking budget

What inputs and outputs does MiniMax M1 80K support?

Recorded inputs: text; outputs: text.

How is MiniMax M1 80K priced?

The pricing table shows the current recorded Moduck price. For example: Input USD 0.44 / 1M tokens; Output USD 1.76 / 1M tokens. See the pricing table for all units, variants, and conditions.

What specifications are recorded for MiniMax M1 80K?

Current model records list Context window 1,000,000 tokens; Maximum output 80,000 tokens.

What model parameter does the Quickstart use?

The example uses minimax/minimax-m1-80k. This value comes from the page identifier and is not confirmed as a callable Moduck public ID.

Can I call this model through the Moduck API now?

This page has no verified Moduck API call for this model. A Quickstart example or reserved ID does not establish access; check the models available to your account.