What can Magic AI do?

Magic AI can: Frontier-scale pre-training, Domain-specific reinforcement learning, Ultra-long context windows (100M tokens), Inference-time compute. Best for: Automating complex software development for enterprises.

How much does Magic AI cost?

Magic AI uses enterprise pricing. Contact their sales team for a custom quote.

Does Magic AI have an API?

Magic AI does not currently offer a public API. Check the official website for the latest developer options.

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Magic AI

Frontier AI models

Automates software engineering

Ultra-long context

AGI-focused

For AI research labs

Automate software engineering and research with frontier AI models.

Autonomous

Coding

ENTERPRISE

ADVANCED Complexity

HYBRID

Last updated: May 16, 2026

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Quick Answer

Magic AI is building frontier code models to autonomously automate software engineering and AI research. It leverages advanced techniques like ultra-long context (100M tokens) and reinforcement learning to improve models and solve alignment. Best for large-scale, complex technical automation and AGI research. Currently in development with significant funding.

Decision Intelligence

Best For

Automating complex software development for enterprises

Advancing AI research autonomously for labs

Generating production-ready code at scale

Solving AI alignment problems with automated systems

Not Ideal For

Small-scale coding tasks for individual developers

Non-technical users seeking a simple AI assistant

Budget-conscious projects due to implied high cost

General content generation or creative tasks

Fit Score

Complexity

ADVANCED

Company Size

ENTERPRISE

Team Size

LARGE_TEAM

Skill Level

EXPERT

About Magic AI

Magic AI is building frontier code models to autonomously automate software engineering and AI research. It combines large-scale pre-training, reinforcement learning, and ultra-long context to improve models and solve alignment. Focused on AGI, it aims to enhance AI capabilities and safety.

AI-extracted from public sources. May contain errors. Methodology · Are you Magic AI? Claim listing

What Makes Magic AI Unique

Magic AI's unique approach combines frontier-scale pre-training, domain-specific reinforcement learning, ultra-long context (100M tokens), and inference-time compute to automate software engineering and AI research.

Capabilities

Automates software engineering tasks

Automates AI research processes

Utilizes frontier-scale pre-training

Applies domain-specific reinforcement learning

Processes information with ultra-long context (100M tokens)

Leverages inference-time compute

Task Categories

Pros

+Leverages frontier-scale AI models for advanced automation
+Utilizes ultra-long context windows (100M tokens) for comprehensive understanding
+Backed by significant funding and top-tier investors
+Focused on safe AGI development and existential risk reduction

Limitations