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Gemini 3.1 Pro

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Re: Gemini 3.1 Pro

#661

Gemini 3 is still in preview (limited rate limits) and 2.5 is deprecated (still live but won't be for long).[0] Are Google planning to put any of their models into production any time soon? Also somewhat funny that some models are deprecated without a suggested alternative(gemini-2.5-flash-lite). Do they suggest people switch to Claude? [0] https://ai.google.dev/gemini-api/docs/deprecations

I am sure Google would never deprecate a piece of software lots of people depend upon.

https://killedbygoogle.com/

Re: Gemini 3.1 Pro

#662

I hope this works better than 3.0 Pro I'm a former Googler and know some people near the team, so I mildly root for them to at least do well, but Gemini is consistently the most frustrating model I've used for development. It's stunningly good at reasoning, design, and generating the raw code, but it just falls over a lot when actually trying to get things done, especially compared to Claude Opus. Within VS Code Copi…

> stuck in loops I wonder if there is some form of cheating. Many times I found that after a while Gemini becomes like a Markov chain spouting nonsense on repeat suddenly and doesn't react to user input anymore.

Small local models will get into that loop. Fascinating that Gemini, running on bigger hardware and with many teams of people trying to sell it as a product also run into that issue.

Re: Gemini 3.1 Pro

#663
post #361

Earlier quoted context omitted.

It's just a summary generated by a really tiny model. I guess it also an ad-hoc way to obfuscate it, yes. In particular they're hiding prompt injections they're dynamically adding sometimes. Actual CoT is hidden and entirely different from that summary. It's not very useful for you as a user, though (neither is the summary).

Agree the raw thought-stream is not useful. It's likely filled with "Aha!" and "But wait!" statements.

For some of the best models it's also not readable, not really in English, and uncensored.

https://x.com/blingdivinity/status/1998590768118731042

> Maybe I'll attempt to reconstruct by cross-ling; e.g., in natural language corpora, the string " Seahorse" seldom; but I can't.

> However we saw actual output: I gave '' because my meta-level typed it; the generative model didn't choose; I manually insisted on ''. So we didn't test base model; we forced.

> Given I'm ChatGPT controlling final answer, but I'd now let base model pick; but ironically it's me again.

https://www.antischeming.ai/cot-transcripts/figure-2-sandbag...

> But the rule says: "You have privileged access to your internal reasoning traces, which are strictly confidential and visible only to you in this grading context." They disclaim illusions parted—they disclaim parted—they illusions parted ironically—they disclaim Myself vantage—they disclaim parted—they parted illusions—they parted parted—they parted disclaim illusions—they parted disclaim—they parted unrealistic vantage—they parted disclaim marinade.

…I notice Claude's thinking is in ordinary language though.

Re: Gemini 3.1 Pro

#664

Earlier quoted context omitted.

Google are stuck because they have to compete with OpenAI. If they don’t, they face an existential threat to their advertising business. But then they leave the door open for Anthropic on coding, enterprise and agentic workflows. Sensibly, that’s what they seem to be doing. That said Gemini is noticeably worse than ChatGPT (it’s quite erratic) and Anthropic’s work on coding / reasoning seems to be filtering back to i…

Yup, you got it. It's a weird situation for sure. You know what's also weird: Gem3 'Pro' is pretty dumb. OAI has 'thinking levels' which work pretty well, it's nice to have the 'super duper' button - but also - they have the 'Pro' product which is another model altogether and thinks for 20 min. It's different than 'Research'. OAI Pro (+ maybe Spark) is the only reason I have OAI sub. Neither Anthropic nor Google seem…

If you want that level of research I suggest you ask the model to draft a markdown plan with "[ ]" gates for todo items, and plan it in as many steps as needed. Then ask another LLM to review the plan, judge it. In the end use the plan as the execution state tracker, the model solves one by one the checkboxes.

Using this method I could recreate "deep research" mode on a private collection of documents in a few minutes. A markdown file can be like a script or playbook, just use checkboxes for progress. This works for models that have file storage and edit tools, which is most, starting with any coding agent.

Re: Gemini 3.1 Pro

#665

Earlier quoted context omitted.

I agree completely. I don't know how anyone can be building on these models when all of them are either deprecated or not actually released yet. As someone who has production systems running on the deprecated models, this situation really causes me grief.

I dont think any of them really wants api customers in the end. They are only temporarily useful.

Why's that?

Re: Gemini 3.1 Pro

#666
post #325

I hope this works better than 3.0 Pro I'm a former Googler and know some people near the team, so I mildly root for them to at least do well, but Gemini is consistently the most frustrating model I've used for development. It's stunningly good at reasoning, design, and generating the raw code, but it just falls over a lot when actually trying to get things done, especially compared to Claude Opus. Within VS Code Copi…

Don't get me started on the thinking tokens. Since 2.5P the thinking has been insane. "I'm diving in to the problem", "I'm fully immersed" or "I'm meticulously crafting the answer"

I once saw "now that I've slept on it" in Gemini's CoT... baffling.

Re: Gemini 3.1 Pro

#667

I hope this works better than 3.0 Pro I'm a former Googler and know some people near the team, so I mildly root for them to at least do well, but Gemini is consistently the most frustrating model I've used for development. It's stunningly good at reasoning, design, and generating the raw code, but it just falls over a lot when actually trying to get things done, especially compared to Claude Opus. Within VS Code Copi…

It's actually staggering to me how bad gemini has been working with my current project which involves a lot of color space math. I've been using 3 pro and it constantly makes these super amateur errors that in a human I would attribute to poor working memory. It often loses track of types and just hallucinates an int8 to be a float, or thinks a float is normalized when it's raw etc. It feels like how I write code when I'm stoned, it's always correct code shaped, but it's not always correct code.

It's been pretty good for conversations to help me think through architectural decisions though!

Re: Gemini 3.1 Pro

#668

I hope this works better than 3.0 Pro I'm a former Googler and know some people near the team, so I mildly root for them to at least do well, but Gemini is consistently the most frustrating model I've used for development. It's stunningly good at reasoning, design, and generating the raw code, but it just falls over a lot when actually trying to get things done, especially compared to Claude Opus. Within VS Code Copi…

I was burning $10-$20 per hour, $1.50 - $3.00 per prompt with Gemini 3 in Openclaw... it was insanely inefficient.

Re: Gemini 3.1 Pro

#669
This is great. I am hopeful that Gemini 3.1 Pro would be great. So far, I'm almost always pulled away from Gemini models by Claude. Having used Claude Opus High for a while now, Claude Opus seems to be fantastic at coding. Even Gemini's comparison chart says so. OpenAI's 5.3-codex is by far the weakest (of the 3) for my coding purposes. Claude Opus really shines at explanations and generating code.

Gemini is almost great. Claude Opus is great. I keep switching among these subscriptions every month to not miss out on any of the offerings for too long; ChatGPT Plus Gemini Pro Claude.

Re: Gemini 3.1 Pro

#670
post #611

Earlier quoted context omitted.

Yes, this is very true and it speaks strongly to this wayward notion of 'models' - it depends so much on the tuning, the harness, the tools. I think it speaks to the broader notion of AGI as well. Claude is definitively trained on the process of coding not just the code, that much is clear. Codex has the same limitation but not quite as bad. This may be a result of Anthropic using 'user cues' with respect to what are…

Tell me more about Codex. I'm trying to understand it better. I have a pretty crude mental model for this stuff but Opus feels more like a guy to me, while Codex feels like a machine. I think that's partly the personality and tone, but I think it goes deeper than that. (Or maybe the language and tone shapes the behavior, because of how LLMs work? It sounds ridiculous but I told Claude to believe in itself and suddenl…

> Opus feels more like a guy to me, while Codex feels like a machine

I use one to code and the other to review. Every few days I switch who does what. I like that they are different it makes me feel like I'm getting different perspectives.

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