Top AI Models for Text & Reasoning

Google's Gemini 4 model for coding, research and tasks involving large collections of text, images, audio or video.

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1,048,576 tokens shared by input, thinking and output

Maximum output

65,536 synchronous; long decode uses the remaining context

Meta's model for extended coding projects, research and agents that work across files and tools.

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1,048,576 tokens

Maximum output

Not published

A separate Muse Wonder variant for demanding coding work inside a paid Muse Code plan.

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1M tokens

Maximum output

Not published

An OpenAI reasoning model for complex coding, research and tool-assisted work at a lower token price than Astra.

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1.05M tokens

Maximum output

128K tokens

A Claude model for everyday coding, writing and visual analysis, with room for large reference documents.

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1M tokens

Maximum output

128K tokens

An OpenAI model for coding projects and assistants that carry out several steps with tools.

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1.05M tokens

Maximum output

128K tokens

A low-cost OpenAI model for focused tasks repeated at scale, such as extraction, classification and short replies.

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1.05M tokens

Maximum output

128K tokens

OpenAI's approval-gated access to its flagship models for defensive security work, with fewer cybersecurity refusals.

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1.05M tokens

Maximum output

128K tokens

A Claude model for large code changes, detailed research and business tasks that take many steps.

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1M tokens

Maximum output

128K tokens

A lower-cost GPT-5.6 option for coding, analysis and assistants that use tools.

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1.05M tokens

Maximum output

128K tokens

The budget GPT-5.6 tier for processing many short, repeatable tasks.

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1.05M tokens

Maximum output

128K tokens

The original Fable model for complex coding and multi-step work, retained for existing integrations.

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1M tokens

Maximum output

128K tokens