Native Multimodal Fusion
Seamlessly interleave text, audio, and images for advanced reasoning and analysis.
MiniMax-M3 / file-analysis
MiniMax M3 is a high-intelligence Mixture-of-Experts (MoE) model. This AI API supports a 1M token context window and native multimodal processing, delivering elite reasoning and bilingual performance for complex enterprise workflows.
$ 0.48
$ 0.6
file
$ 0.96
$ 1.2
text
Key Features of the MiniMax M3 AI API
Technical advantages that set MiniMax M3 apart in the high-intelligence model market.
Efficient MoE Architecture
Lower latency and faster TTFT through smart parameter activation in the MoE framework.
Expert Bilingual Logic
Top-tier reasoning in English and Chinese for global enterprise applications.
1M Token Context Processing
Handle massive datasets with 99.9% retrieval accuracy across a million-token window.
How to Get a MiniMax-M3 API Key
Getting a MiniMax-M3 API key takes four steps and a few minutes. Create a free GPTProto account, add credits, generate your key, and make your first call — at $0.48 / $0.96 it's a cheaper MiniMax-M3 API key than going direct, and one key works across every model on the platform. Full MiniMax-M3 Documentation is in the docs.
Sign up
Create your free GPT Proto account to begin. You can set up an organization for your team at any time.
Top up
Your balance can be used across all models on the platform, including MiniMax-M3, giving you the flexibility to experiment and scale as needed.
Generate your API key
In your dashboard, create an API key — you'll need it to authenticate when making requests to MiniMax-M3.
Make your first API call
Use your API key with our sample code to send a request to MiniMax-M3 via GPT Proto and see instant AI-powered results.
MiniMax M3 AI API Frequently Asked Questions
Get expert insights on deploying MiniMax M3 for your long-context and multimodal AI projects.
How reliable is the MiniMax M3 1M token context window?
MiniMax M3 is engineered for near-perfect retrieval. In standardized 'Needle In A Haystack' evaluations, it achieves 99.9% accuracy across the full 1,000,000 token range. This makes MiniMax significantly more reliable for multi-document synthesis and long-form legal audits than many smaller-context models that suffer from mid-context forgetfulness.
What are the core benefits of the MiniMax MoE architecture?
The Mixture-of-Experts (MoE) design in MiniMax M3 ensures high-tier intelligence without the latency typical of massive dense models. By only activating relevant parameters for each task, MiniMax delivers a lower Time-To-First-Token (TTFT), making the AI API efficient for both complex reasoning and enterprise-scale multimodal processing.
Does the MiniMax M3 AI API support image and audio inputs?
Yes. MiniMax M3 features a native multimodal architecture. It can process and reason through interleaved text, images, and audio. This allows users to build agents that can interpret screenshots, listen to emotional cues in audio, and reference text documentation all within a single multi-turn conversation.
How does MiniMax M3 perform in bilingual environments?
MiniMax is specifically optimized for English and Chinese switching. It captures cultural nuances and complex idioms better than many Western-centric models. This makes MiniMax M3 the preferred choice for cross-border business logic, legal translation, and global marketing teams requiring high-context accuracy in both languages.
What is the pricing for MiniMax M3 on GPTProto.com?
MiniMax M3 is priced competitively at $1.20 per 1 million input and output tokens. For high-volume users, our platform offers a 5% rebate for usage exceeding 500M tokens monthly. Additionally, we support prompt caching, which can drastically reduce costs for repetitive, long-context requests by reusing previously processed prefixes.
How do I migrate my existing code to use MiniMax M3?
Migration is seamless. Since GPTProto.com provides an OpenAI-compatible interface, you simply need to update your base URL and change the model parameter to 'MiniMax-M3'. Your existing request and response schemas for tools, JSON mode, and streaming will remain compatible, allowing for an immediate upgrade to 1M context capabilities.