Velokey

MiniMax M3

MiniMaxChatin 0.24 · out 0.96 Credits / 1M tokens≈$0.24 / $0.96Available

MiniMax M3 is the first open-weight model combining three frontiers at once: top-tier coding, a 1M-token context, and native multimodality. Access it through Velokey's unified endpoint with below-list pricing.

Three frontiers in oneTop-tier coding & agents1M-token contextNative multimodality

Use cases

Deep coding & codebase work · Autonomous agents & tool use

Input

Text, image

Output

Text

Billing

Per token

0.7
02
2048
2568192
MiniMax-M3

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Sign up to get $0.5 in free credits — about 20 free images

Pricing details

Transparent usage-based pricing with no hidden fees.

Detailed Pricing

Tiered pricing

Usage-based pricing breakdown

MiniMax M3

<= 512K tokensContext length ≤ 512K
SpecPriceOfficial/Fal Price(USD)Savings
Input/1M tokens0.24 Credits≈$0.240.3 Credits-20%
Output/1M tokens0.96 Credits≈$0.961.2 Credits-20%
Cache Read/1M tokens0.048 Credits≈$0.0480.06 Credits-20%
> 512K tokensContext length > 512K
SpecPriceOfficial/Fal Price(USD)Savings
Input/1M tokens0.48 Credits≈$0.480.6 Credits-20%
Output/1M tokens1.92 Credits≈$1.922.4 Credits-20%
Cache Read/1M tokens0.096 Credits≈$0.0960.12 Credits-20%

Billing Rules

  • Output price varies by model, resolution, quality, duration, or token usage.
  • Uploaded reference files may be charged separately when supported.
  • Add-on capabilities such as web search or image search may be billed per request.
  • Token-based models are billed by input and output tokens.
  • If the primary route is unavailable, Velokey may automatically switch to a stable fallback route when possible.
  • Usage is pay-as-you-go with transparent credit deduction.

* Final cost depends on the generated result.

Affordable MiniMax M3 API

Access MiniMax M3 on Velokey — the first open-weight model to combine top-tier coding, a 1M-token context, and native multimodality, with a unified endpoint and below-list pricing for production apps.

Meet MiniMax M3 and its API access

MiniMax M3 is a text model from MiniMax and the first open-weight model to combine three frontier capabilities at once: top-tier coding, a 1M-token context, and native multimodality. It reaches top-tier performance on coding and agentic benchmarks, autonomously decomposing tasks, invoking tools, and reasoning across multiple steps; text and visual semantic spaces are deeply aligned for native multimodal understanding; and its MiniMax Sparse Attention (MSA) architecture supports up to a 1M-token context (512K guaranteed minimum). Velokey provides an affordable, easy-to-integrate MiniMax M3 API: a unified chat endpoint, a clear request flow, and below-list pricing for production systems, agent pipelines, and automation tools.

Three frontiers in one open-weight model

The first open-weight model to combine top-tier coding, a 1M-token context, and native multimodality at once — integrating strengths that used to live in separate models.

View Documentation
Three frontiers in one open-weight model

Top-tier coding & autonomous agents

Top-tier performance on coding and agentic benchmarks, with autonomous task decomposition, tool invocation, and multi-step reasoning — it has run a 12-hour ICLR paper reproduction and a CUDA kernel optimization reaching 9.4x speedup.

View Documentation
Top-tier coding & autonomous agents

1M-token context via Sparse Attention

Built on the MiniMax Sparse Attention (MSA) architecture, it supports up to a 1M-token context with a 512K guaranteed minimum, handling very long codebases and documents efficiently.

View Documentation
1M-token context via Sparse Attention

Native multimodality

Deep alignment between textual and visual semantic spaces delivers native multimodal understanding rather than a bolted-on afterthought.

View Documentation
Native multimodality

How to deploy the MiniMax M3 API on Velokey

Get started with just a few steps.

1

Sign up and get an API Key

Sign in to the Velokey console to generate an API Key that authenticates every request sent to MiniMax M3.

2

Configure request parameters

Set model to minimax-m3 and submit messages. Use the v2.1 endpoints for coding, agentic tool calling, and very long context.

3

Integrate and start calling

Send requests to Velokey's unified /v1/chat/completions endpoint to power assistants, agents, and automation, with usage managed in one console.

Real-world use cases for MiniMax M3

From engineering to research, covering many high-autonomy scenarios.

Deep coding & codebase work

Top-tier coding paired with a 1M-token context — fit for development, refactoring, and tuning across an entire codebase.

Autonomous agents & tool use

Autonomous task decomposition, tool invocation, and multi-step reasoning — fit for complex agentic workflows and long-horizon automation.

Research reproduction & engineering

It has run a 12-hour ICLR paper reproduction and a CUDA kernel optimization reaching 9.4x speedup — fit for research and performance engineering.

Very long document & codebase comprehension

A 1M-token context enables retrieval, synthesis, and QA across very long documents and entire codebases.

Multimodal understanding & analysis

Deep text-visual semantic alignment — fit for mixed text-and-image understanding, analysis, and content processing.

Long-horizon automation pipelines

Autonomous task decomposition and tool invocation — fit for automation that needs multi-step execution and tool orchestration.

Why choose Velokey for MiniMax M3

Discount on list price

Call MiniMax M3 at a lower price on Velokey — pay-as-you-go with no forced subscription, reducing upfront cost.

Unified API interface

One API Key accesses MiniMax M3 and other models — no juggling multiple accounts and keys, simplifying integration.

Complete docs and onboarding guidance

Endpoint references, parameter details, and examples help you quickly adopt coding, agentic, and long-context capabilities.

Stable and highly available

Automatic failover and stable fallback routes maintain availability when the primary route is down, keeping production reliable.

API Reference

Complete API call examples and parameter descriptions

Endpoint

https://api.velokey.ai/v1/chat/completions

Authentication

Bearer YOUR_API_KEY

Request Example

curl https://api.velokey.ai/v1/chat/completions \
  -X POST \
  -H "Authorization: Bearer YOUR_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "MiniMax-M3",
    "messages": [{"role": "user", "content": "Hello!"}],
    "temperature": 0.7
  }'

Response Example

{
  "id": "req_abc123",
  "model": "MiniMax-M3",
  "created": 1234567890,
  "data": { ... }
}

MiniMax M3 API FAQ

What makes MiniMax M3 unique?

It is the first open-weight model to combine three frontier capabilities at once: top-tier coding, a 1M-token context, and native multimodality — integrating strengths that used to live in separate models.

How good is the long context?

Built on the MiniMax Sparse Attention (MSA) architecture, it supports up to a 1M-token context with a 512K guaranteed minimum, handling very long codebases and documents efficiently.

How does it perform on benchmarks?

It scores 83.5 on BrowseComp (exceeding Opus 4.7's 79.3), ranks #3 overall on PostTrainBench (37.1), and has demonstrated a 12-hour ICLR paper reproduction and a CUDA kernel optimization reaching 9.4x speedup.

How can I access it?

Through the API (v2.1 endpoints), a Token Plan, the MiniMax Code no-code agent interface, with open-source deployment (HuggingFace/GitHub) coming soon.

How is it billed on Velokey?

This page's pricing area shows the current Velokey price, billed by input and output tokens with a discount on list price and no forced subscription.

Start building with MiniMax M3 today

Use one API key to access low-cost, stable AI models through Velokey.