TokenON
MiniMaxChinatext->text

Access MiniMax: MiniMax M1 Through TokenON's Unified API

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...

MiniMax: MiniMax M1 delivers 1.0M context, with exceptional Chinese-language understanding, supporting up to 1.0M tokens for long-document workflows. Access it through TokenON's unified AI API gateway...

Long ContextChinese-Language

Model Specifications

Context Length
1.0M
1,000,000 tokens
Input Price
$0.400
per 1M tokens
Output Price
$2.20
per 1M tokens
Modality
text->text
input → output

Why Use MiniMax: MiniMax M1 Through TokenON?

Pay Only for What You Use

Access MiniMax: MiniMax M1 at $0.400 input / $2.20 output per 1M tokens on TokenON — no monthly subscription required. TokenON's pay-per-use billing means you only pay for the tokens you actually consume, making it cheaper than direct provider subscriptions for most usage patterns.

Automatic Failover and Smart Routing

If MiniMax: MiniMax M1 experiences downtime, TokenON's smart routing can automatically switch to a comparable model, keeping your application running. With less than 100ms added latency and 99.9% uptime SLA, TokenON ensures your AI workflows stay reliable.

No Vendor Lock-in — Switch Models in One Line

Through TokenON's unified API, switching from MiniMax: MiniMax M1 to any other model takes a single line change. Test Claude, GPT, Gemini, and DeepSeek side by side without rewriting your integration. Access multiple AI models through one API and find the best fit for your use case.

Enterprise-Grade Security and Management

TokenON provides 5-level RBAC, audit logs, and SOC 2 readiness for every model including MiniMax: MiniMax M1. Manage team access, track token-level usage, and consolidate billing across all AI providers from a single enterprise AI management dashboard.

TokenON Pricing for MiniMax: MiniMax M1

MiniMax: MiniMax M1 on TokenON is priced at $0.400 input / $2.20 output per 1M tokens. With TokenON's V1-V10 tiered pricing, higher-volume users automatically unlock lower rates. All billing is pay-per-use with token-level metering precision — no minimum spend, no monthly commitment.

Quick Start

Start using MiniMax: MiniMax M1 with TokenON in under 5 minutes. Install the OpenAI SDK, set your base URL to api.tokenon.ai, and make your first API call. TokenON is fully OpenAI SDK compatible — no new libraries, no complex setup.

quickstart.py
from openai import OpenAI

client = OpenAI(
    base_url="https://api.tokenon.ai/v1",
    api_key="your-tokenon-key"
)

response = client.chat.completions.create(
    model="minimax/minimax-m1",
    messages=[{"role": "user", "content": "Hello!"}]
)

print(response.choices[0].message.content)
Tip: Install the SDK with pip install openai and replace your-tokenon-key with your actual API key from the dashboard.

More Models from MiniMax

Explore other MiniMax models available through TokenON.

MiniMax: MiniMax-01
1.0M ctx$0.200/M in$1.10/M out
text+image->text
MiniMax: MiniMax M2
197K ctx$0.255/M in$1.00/M out
text->text
MiniMax: MiniMax M2.1
197K ctx$0.290/M in$0.950/M out
text->text
MiniMax: MiniMax M2.5
197K ctx$0.118/M in$0.990/M out
text->text
MiniMax: MiniMax M2.5 (free)
197K ctxFree/M inFree/M out
text->text
MiniMax: MiniMax M2.7
205K ctx$0.300/M in$1.20/M out
text->text
MiniMax: MiniMax M2-her
66K ctx$0.300/M in$1.20/M out
text->text

Frequently Asked Questions

How much does MiniMax: MiniMax M1 cost on TokenON?▾
MiniMax: MiniMax M1 costs $0.400 input / $2.20 output per 1M tokens on TokenON. This is pay-per-use pricing — you only pay for the tokens you consume. Volume discounts are available through TokenON's V1-V10 tiered pricing system.
Is TokenON's MiniMax: MiniMax M1 API compatible with the OpenAI SDK?▾
Yes. TokenON's API is fully compatible with the OpenAI SDK. To use MiniMax: MiniMax M1 through TokenON, set your base_url to api.tokenon.ai and use your TokenON API key. Your existing OpenAI SDK code works without modification — just change the endpoint and model name.
What happens if MiniMax: MiniMax M1 is down? Does TokenON have failover?▾
TokenON provides automatic failover through its smart routing system. If MiniMax: MiniMax M1 experiences downtime or high latency, TokenON can route your request to a comparable model automatically, maintaining less than 100ms added latency and 99.9% uptime for your application.
Can I use the full 1.0M context window of MiniMax: MiniMax M1 on TokenON?▾
Absolutely. TokenON supports the full 1.0M context window of MiniMax: MiniMax M1. There are no artificial context limits imposed by the TokenON gateway. This makes it ideal for long-document analysis, research, and complex multi-turn conversations through TokenON's unified API.

Start using MiniMax: MiniMax M1

Sign up, add credit, and call MiniMax: MiniMax M1 through the TokenON API. No monthly commitments — pay only for what you use.

Get Started Free →Browse All Models