♊Google Launches Gemini 3.1 Ultra With Native 2-Million-Token Multimodal Context
Google Launches Gemini 3.1 Ultra With Native 2-Million-Toke…
TL;DR
Google launched Gemini 3.1 Ultra featuring a 2-million-token context window that operates natively across text, image, audio, and video without transcription i…
Google launched Gemini 3.1 Ultra featuring a 2-million-token context window that operates natively across text, image, audio, and video without transcription intermediaries. A new sandboxed Code Execution tool lets the model write, run, and test code mid-conversation.
Key Points
2-million-token native multimodal context across text, image, audio, video
Trained from scratch to reason across modalities simultaneously, no transcription step
New sandboxed Code Execution tool runs and tests code in-conversation
Available via Gemini app and Vertex AI for enterprise customers
Why It Matters
True multimodal reasoning at 2M tokens collapses entire pipelines into a single model call, redefining what 'long-context' means for enterprise workflows.
Frequently Asked Questions
Why does this matter?
True multimodal reasoning at 2M tokens collapses entire pipelines into a single model call, redefining what 'long-context' means for enterprise workflows.
What happened?
Google launched Gemini 3.1 Ultra featuring a 2-million-token context window that operates natively across text, image, audio, and video without transcription i…
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