Google Gemini 3: The Next Leap in AI Performance (Unverified Rumors)

Emerging rumors suggest Google's Gemini 3 could represent a paradigm shift in AI performance through a novel Mixture-of-Experts architecture, potentially doubling inference speeds while achieving breakthrough 90% MMLU scores—though developers should note these claims remain unverified by official Google sources.

TL;DR

Unverified reports indicate Gemini 3 features a revolutionary Dynamic Routing/Mixture-of-Experts (MoE) architecture promising 2x faster inference compared to Gemini 2.5 Pro, with claimed performance improvements to 90% on MMLU benchmarks. The model reportedly enters "closed preview" at $0.02 per 1K tokens. Important: These details come from third-party sources and lack official Google confirmation. Early adopters should exercise caution and verify claims independently before production use.

Key Takeaways

• Architectural innovation: Unverified sources claim MoE-based Dynamic Routing system enabling selective parameter activation

• Performance leaps: Rumored 90% MMLU score (vs 85% for 2.5 Pro) with 2x inference speed improvements

• Pricing speculation: Reported "closed preview" pricing at $0.02 per 1K tokens (significantly lower than current models)

• Enhanced capabilities: Claims suggest native multimodality with improved reasoning across text, code, and visual inputs

• Release timeline: Third-party sources mention "late Q4 2025" availability—no official confirmation from Google

• Early access limitations: Potentially restricted to Google's trusted tester programs and select enterprise partners

• Developer implications: If true, represents potential 2x productivity gains for AI-powered applications and coding assistants