mythicgames/MAI-M4-Coder-Thinking

MAI M4 Coder Thinking — Mythic Artificial Intelligence LLM

Perex Merge Architecture · MSPLIT 5A Technology

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On March 1, 2026, we officially present M4 Coder Thinking — a large language merged model that achieved outstanding results across multiple benchmarks, setting a new standard for merged-architecture models.

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🔒 Availability

M4 Coder Fast and all models in the MAI M family are NOT open-source. They are developed exclusively for our platform, hosted via Puter.js. You can interact with our most advanced merged models by visiting our website.

🌐 Chat with MAI models on our website →

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⚙️ MSPLIT 5A Technology

M4 Coder Fast utilizes MSPLIT 5A — a proprietary merging and splitting technique that increases effective model functionality by up to ~4.7×, but used ~4.3x fast mode for this model.

The performance multiplier is derived from the MCE (Merge Coefficient Exponent) using the following formula:

Power = MCE² × 8 ÷ 9.3 ÷ 2

For M4 Coder Fast, MCE = 3.16:

(3.16²) × 8 ÷ 9.3 ÷ 2
≈ 10 × 8 ÷ 9.3 ÷ 2
≈ 80 ÷ 18.6
≈ 4.3×

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🧠 Key Features

Feature	Details
📝 Context Window	Up to >1M tokens of absolute context memory
🔄 Chat History Recall	Superior ability to reference, recall, and utilize prior conversation context compared to competing models
💻 Code Generation	Optimized for fast, more intelligence, accurate code generation across multiple programming languages
⚡ Speed	"Thinking" variant — tuned for low-latency inference without sacrificing quality
🧩 Architecture	Merged model built on the Perex Merge framework with MSPLIT 5A enhancements

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📊 Model Details

Parameter	Value
Model Name	MAI M4 Coder Thinking (Mifik)
Family	MAI M Series
Type	Large Language Merged Model
Merge Technology	MSPLIT 5A
Effective Power Multiplier	~4.3×
Max Context Length	>1,000,000 tokens
Access	Private (via official website only)
Hosting	Puter.js

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🚀 What Makes M4 Coder Thinking Different?

1. Merged Architecture — Unlike traditional fine-tuned models, M4 Coder Thinking leverages the Perex Merge pipeline, combining the strengths of multiple base models into a single, unified system.
2. Absolute Context Memory — With over 1 million tokens of context, the model doesn't just "see" your conversation — it deeply understands and actively utilizes the full chat history.
3. MSPLIT 5A Optimization — Our proprietary splitting technique ensures that merged parameters don't degrade but instead amplify each other, yielding a 4.7× effective performance boost.

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📜 License

This model is proprietary. Weights, architecture details, and inference endpoints are not publicly distributed. All access is provided through the official MAI platform.

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Developed by the Mythic Artificial Intelligence team | MythicGames · 2026

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