Gemini 3.5 Pro (Expected)
Expected June 2026: Google's upcoming flagship reasoning model, rumored to feature a 5M token context window and advanced video understanding.
Overview
Gemini 3.5 Pro is Google DeepMind's expected mid-2026 flagship reasoning model. Built as a large-scale Mixture-of-Experts (MoE) network, it is rumored to feature a massive 5 million token context window. Pre-release reports indicate it will introduce major upgrades in multi-hour video reasoning, cross-modal logic, and physical world simulation modeling.
Unique Factor
An expected 5 million token context window combined with world-leading cross-modal video reasoning.
Key Capabilities
Benchmarks
Top Use Cases
System-wide Software Architecture Auditing
Upload multiple repositories and design blueprints to check consistency and security issues.
Detailed Features
Expected 5M Token Context Window: Unmatched memory capacity for full-system software audits and video logs.
Next-Gen Video Understanding: Analyze up to 2.5 hours of high-definition video directly in a single prompt.
Advanced Reasoning MoE: Upgraded reinforcement learning loops for PhD-level mathematics.
Cross-modal Logic: Native visual-audio reasoning that handles complex scientific diagrams.
✓ Strengths & Pros
- • Industry-leading 5M token context capacity
- • Superb video reasoning and cross-modal logic
✕ Limitations & Cons
- • Not yet officially released; specs are unconfirmed
- • High expected API latency on very large context inputs
Ideal Usage & Target Audience
Best For
Data analysts, software architects, and multimedia researchers tracking Google's AI roadmap.
Not Recommended For
Production systems requiring immediate, guaranteed API availability (specs are unconfirmed).
Frequently Asked Questions
When is Gemini 3.5 Pro expected to release?
Google DeepMind has scheduled announcements indicating a release in late June 2026.
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Quick Links
Technical Specs
API Pricing
Unconfirmed pricing details
Developer
The scientific leaders of AI — creators of Gemini and the innovators behind the Transformer architecture.
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