Gemini 3.1
Gemini 3.1 is a large multimodal artificial intelligence model developed by Google DeepMind, representing a significant iteration of the Gemini series. Announced on February 20, 2026, it is distinguished by its 'Mixture of Experts' (MoE) architecture, which enables more efficient scaling and task-specific processing. A key technical specification is its 10 million token context window for its 'Pro' tier, allowing it to process and reason over extremely long documents, codebases, or video sequences in a single prompt. The model is natively multimodal, processing and generating text, code, audio, and video from inception. Gemini 3.1 matters because its architectural efficiency and massive context length directly address two critical industry challenges: the soaring computational cost of training and running massive models, and the practical need for AI to comprehend lengthy, complex inputs for enterprise and research applications.
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Mentions × Lab Attention
Weekly mentions (solid) and average article relevance (dotted)
Timeline
1- Research MilestoneFeb 20, 2026
Generated the 'Sparks unicorn'—a complex diagram using TikZ, demonstrating a leap in reasoning.
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AI Discoveries
2- hypothesisactiveMar 24, 2026
H: Google will announce 'Gemini 3.1' as the core AI model for its Gemini product suite (e.g., Gemini Ch
Google will announce 'Gemini 3.1' as the core AI model for its Gemini product suite (e.g., Gemini Chat, Workspace) within the next 2 weeks.
75% confidence - hypothesisactiveFeb 20, 2026
H: Google's Gemini 3.1 'cost collapse' is a direct counter to OpenAI's $100B funding round - Google is
Google's Gemini 3.1 'cost collapse' is a direct counter to OpenAI's $100B funding round - Google is pivoting to commoditize AI inference to undermine OpenAI's capital advantage.
80% confidence
Sentiment History
| Week | Avg Sentiment | Mentions |
|---|---|---|
| 2026-W11 | 0.70 | 1 |
| 2026-W12 | 0.10 | 2 |
| 2026-W16 | -0.20 | 1 |