GEMINI JUST TOOK SOME PROFITS ON ITS NVIDIA $NVDA STOCK Gemini bought 100 shares of Nvidia on November 26th at $179.42 per share Gemini just sold 10 shares of Nvidia stock for $225.60 per share and still holds 90 shares

Gemini 3.2 Flash leaks: fast and cheap seems to be the focus - Gemini 3.2 Flash looks focused on making AI much faster and cheaper without sacrificing too much quality - According to my sources, Google may rename it to Gemini 3.5 Flash - It may perform close to Gemini 3.1 Pro level while keeping very low latency with sub-200ms responses rumored for many queries - Pricing leaks point to around $0.25 input / $2 output per 1M tokens, though honestly that still feels too cheap to fully trust right now - Google is using stronger distillation and sparsity techniques to compress larger model capabilities into a lightweight version - Knowledge cutoff is said to be updated to January 2026 - Google also seems focused on grounding + search reliability to reduce hallucinations in real-world workflows - Expected around Google I/O, possibly 1-2 days before the keynote

Gemini 3.2 Flash - Capitalizing on DeepMind's clever distillation techniques... Rumors are that benchmarks show it's hitting 92% of GPT 5.5's performance on coding and reasoning tasks while being 15-20x cheaper on inference costs. The latency improvements are insane - sub-200ms for most queries. Google's distillation + sparsity techniques are paying off massively. They've essentially compressed a frontier model into a flash variant without the usual quality cliff.

Gemini 3.2 has an 89% chance of dropping May 19 on Polymarket. That's one week from today. I think this model beats GPT 5.5 and Claude Opus 4.7. Google has been quietly building. 3.1 Pro already had elite reasoning and the lowest hallucination on BridgeBench. The only thing holding it back was the tooling. If 3.2 ships with reliable tool calling at Google I/O, the leaderboard resets. Testing it on BridgeBench the second it drops.

Gemini 3.2 has a 47% chance of dropping next week according to Polymarket. If Google fixes the tool calling problem, this model could be better than GPT 5.5 and Claude Opus 4.7. Gemini 3.1 Pro already had the reasoning and the lowest hallucination rates on BridgeBench. The intelligence was never the issue. The tooling was. If Gemini 3.2 ships with reliable tool calling and agent support, the entire leaderboard changes. This could be the most important model drop of the summer.