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What are the latest rumors regarding Gemini 3.5 release timing?

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I’ve been tracking the recent AI releases from OpenAI and Anthropic, and it feels like the ball is back in Google's court. While Gemini 1.5 Pro is still solid, I’m starting to wonder when we’ll see the jump to Gemini 3.5 (or even a version 2.0). I’ve heard some whispers about a potential late 2024 refresh to stay competitive, but the rumors seem pretty scattered. I'm currently integrated into the Vertex AI ecosystem, so knowing the timeline is huge for my planning. Have any of you caught wind of leaked roadmaps or developer previews recently? I'm dying to know if we're looking at a surprise winter launch or if it's pushed to 2025. What’s the latest gossip you’ve heard?


11 Answers
14

Since GPT 5.3 and Claude Opus 4.6 is just released, I guess it will be released soon. Maybe in late February to March.


9

In April 2026.


6

For your situation, I would suggest being super cautious about jumping the gun on a 2024 launch. Market research into Google's recent release patterns shows they're lowkey struggling to sync their hardware events with model drops. While OpenAI GPT-4o and Anthropic Claude 3.5 Sonnet have pushed the pace, Google usually prioritizes stability for their enterprise users. Honestly, I'm betting we won't see a massive Google Gemini 2.0 leap until early 2025 right? If they do drop something in December, it'll probably just be a refined version of the current stack to lower latency, so maybe dont rewrite your whole Vertex roadmap just yet... peace.


5

Honestly, watch out—don't bank your whole Q1 roadmap on these leaks... Google's timelines are highkey slippery. Rumors are split between a quick 2024 refresh vs a full Gemini 2.0 in early 2025. The 2024 drop would be a fast 'Turbo' move, while 2025 is the real leap. Based on my Vertex experience, 1.5 Pro is still a beast and cost-effective, so I'm happy waiting. I'd bet on a small Dec surprise, but basically, keep your stack flexible just in case!


4

Seconding the recommendation above! Honestly, Google's highkey slippery with dates, but I've been digging into some technical leaks. Basically, we're likely looking at two paths:

1. [[PRODUCT:Google Gemini 1.5 Turbo]] refresh: This is the 'fast' 2024 drop to compete with GPT-4o. Lower latency, cheaper tokens.
2. [[PRODUCT:Google Gemini 2.0 Pro]]: The real leap everyone wants. Rumors say it's pushed to early 2025 cuz of safety tuning.

Since you're on [[PRODUCT:Google Vertex AI]], stick with the Experimental models for now... they're usually the sneak peek right?


3

In my experience, I'm staying cautious with my current setup. I'm really happy with how it's working right now, especially regarding safety. Here's why I'm waiting:

1. Reliability is huge for me, and jumping too early to leaks can be risky for data.
2. Costs are stable now, so I'm avoiding any sudden changes that might spike the bill.

Honestly, iirc, slow and steady usually wins with these releases. I'm satisfied with the current pace tbh.


2

This is exactly what I needed to hear. Youre a lifesaver honestly.


2

+1


2

Just catching up on this thread. Building on the earlier suggestion about the split between a 2024 refresh and a 2025 leap, people here seem to think we're stuck in a waiting game for a bit. In my experience, these rumors are usually half-right—Google tends to drop Experimental versions silently before any big marketing push. Since you're already deep in Vertex, here's how I'd handle it:

  • Start testing with Google Gemini 1.5 Flash 002 right now; its been surprisingly solid for a fast model and might hold you over.
  • Keep your Google Vertex AI SDK for Python updated to catch the new model strings as soon as they go live.
  • Dont burn through your credits on heavy 1.5 Pro fine-tuning just yet if 2.0 is around the corner. Honestly, ngl, the wait is annoying but if the leap is anything like 1.0 to 1.5, it'll be worth it. Basically, just keep your code modular so you can swap the model name in your config when the news breaks... let me know if you hit any weird Vertex issues!


2

> Google tends to drop Experimental versions silently before any big marketing push. @Reply #10 - good point! honestly ive noticed that too. usually i stick to the older stable stuff cuz im kinda scared of things breaking suddenly but those silent drops are worth watching. i've had a few issues where experimental updates changed how my prompts worked so staying cautious is my vibe for now. just curious though, r u mostly looking for a speed boost for a basic chatbot or do you actually need the heavy reasoning for complex data processing? also are you prioritizing low cost or is high accuracy the main goal for you? knowing that might help narrow down which rumor to actually care about.


1

Good to know!


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