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Gemini 3 Flash: Frontier intelligence built for speed

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Re: Gemini 3 Flash: Frontier intelligence built for speed

#491

Post by chpatrick »

aleph_minus_one wrote: post #291
Workaccount2 wrote: post #261

Earlier quoted context omitted.

Coding is basically an edge case for LLMs too. Pretty much every person in the first (and second) world is using AI now, and only small fraction of those people are writing software. This is also reflected in OAI's report from a few months ago that found programming to only be 4% of tokens.

> Pretty much every person in the first (and second) world is using AI now This sounds like you live in a huge echo chamber. :-(

All of my non techy friends use it, it's the new search engine. I think at this point people refusing to use it are the echo chamber.

Re: Gemini 3 Flash: Frontier intelligence built for speed

#492

Post by Palmik »

qnleigh wrote: post #383

This model is breaking records on my benchmark of choice, which is 'the fraction of Hacker News comments that are positive.' Even people who avoid Google products on principle are impressed. Hardly anyone is arguing that ChatGPT is better in any respect (except brand recognition).

No offense, but that seems like a poor benchmark. These initial vibe checks are easily swayed by personal brand biases.

Re: Gemini 3 Flash: Frontier intelligence built for speed

#493

Post by Palmik »

jdanbrown wrote: post #463
jaigupta wrote: post #454

Only if I could figure out how to use it. I have been using Claude Code and enjoy it. I sometimes also try Codex which is also not bad. Trying to use Gemini cli is such a pain. I bought GDP Premium and configured GCP, setup environment variables, enabled preview features in cli and did all the dance around it and it won't let me use gemini 3. Why the hell I am even trying so hard?

Have you tried OpenRouter ( https://openrouter.ai )? I’ve been happy using it as a unified api provider with great model coverage (including Google, Anthropic, OpenAI, Grok, and the major open models). They charge 5% on top of each model’s api costs, but I think it’s worth it to have one centralized place to insert my money and monitor my usage. I like being able to switch out models without having to change my tools…

Why would you use OpenRouter rather than some local proxy like LiteLLM? I don't see the point of sharing data with more third parties and paying for the privilege.

Not to mention that for coding, it's usually more cost efficient to get whatever subscription the specific model provider offers.

Re: Gemini 3 Flash: Frontier intelligence built for speed

#494

Post by awestroke »

Palmik wrote: post #492
qnleigh wrote: post #383

This model is breaking records on my benchmark of choice, which is 'the fraction of Hacker News comments that are positive.' Even people who avoid Google products on principle are impressed. Hardly anyone is arguing that ChatGPT is better in any respect (except brand recognition).

No offense, but that seems like a poor benchmark. These initial vibe checks are easily swayed by personal brand biases.

The brand bias is heavily against Google, not in Googles favor

Re: Gemini 3 Flash: Frontier intelligence built for speed

#496

Post by prvc »

primaprashant wrote: post #35

Pricing is $0.5 / $3 per million input / output tokens. 2.5 Flash was $0.3 / $2.5. That's 66% increase in input tokens and 20% increase in output token pricing. For comparison, from 2.5 Pro ($1.25 / $10) to 3 Pro ($2 / $12), there was 60% increase in input tokens and 20% increase in output tokens pricing.

Apples to oranges.

Re: Gemini 3 Flash: Frontier intelligence built for speed

#497

Post by illiac786 »

lambda wrote: post #360
prettyblocks wrote: post #313

Earlier quoted context omitted.

I don't think tricky niche knowledge is the sweet spot for genai and it likely won't be for some time. Instead, it's a great replacement for rote tasks where a less than perfect performance is good enough. Transcription, ocr, boilerplate code generation, etc.

The thing is, I see people use it for tricky niche knowledge all the time; using it as an alternative to doing a Google search. So I want to have a general idea of how good it is at this. I found something that was niche, but not super niche; I could easily find a good, human written answer in the top couple of results of a Google search. But until now, all LLM answers I've gotten for it have been complete hallucinat…

But people using the wrong tool for a task is nothing new. Using excel as a database (still happening today), etc.

Maybe the scale is different with genAI and there are some painful learnings ahead of us.

Re: Gemini 3 Flash: Frontier intelligence built for speed

#498

Post by campers »

mips_avatar wrote: post #288
samyok wrote: post #4

Don’t let the “flash” name fool you, this is an amazing model. I have been playing with it for the past few weeks, it’s genuinely my new favorite; it’s so fast and it has such a vast world knowledge that it’s more performant than Claude Opus 4.5 or GPT 5.2 extra high, for a fraction (basically order of magnitude less!!) of the inference time and price

OpenAI made a huge mistake neglecting fast inferencing models. Their strategy was gpt 5 for everything, which hasn't worked out at all. I'm really not sure what model OpenAI wants me to use for my applications that require lower latency. If I follow their advice in their API docs about which models I should use for faster responses I get told either use GPT 5 low thinking, or replace gpt 5 with gpt 4.1, or switch to…

I had wondered if they run their inference at high batch sizes to get better throughput to keep their inference costs lower.

They do have a priority tier at double the cost, but haven't seen any benchmarks on how much faster that actually is.

The flex tier was an underrated feature in GPT5, batch pricing with a regular API call. GPT5.1 using flex priority is an amazing price/intelligence tradeoff for non-latency sensitive applications, without needing to extra plumbing of most batch APIs

Re: Gemini 3 Flash: Frontier intelligence built for speed

#499

Post by MillionOClock »

inshard wrote: post #495

Tested it on Gemini CLI and the experience as good if not better than Claude Code. Gemini CLI has come a long way and is arguably likely to surpass Claude Code at this rate of progress.

What are your favorite features? I recently downloaded it and also use Codex CLI and GitHub Copilot in VS Code but I don't really know what specific features it has others might not have.

Re: Gemini 3 Flash: Frontier intelligence built for speed

#500

Post by mips_avatar »

campers wrote: post #498
mips_avatar wrote: post #288

Earlier quoted context omitted.

OpenAI made a huge mistake neglecting fast inferencing models. Their strategy was gpt 5 for everything, which hasn't worked out at all. I'm really not sure what model OpenAI wants me to use for my applications that require lower latency. If I follow their advice in their API docs about which models I should use for faster responses I get told either use GPT 5 low thinking, or replace gpt 5 with gpt 4.1, or switch to…

I had wondered if they run their inference at high batch sizes to get better throughput to keep their inference costs lower. They do have a priority tier at double the cost, but haven't seen any benchmarks on how much faster that actually is. The flex tier was an underrated feature in GPT5, batch pricing with a regular API call. GPT5.1 using flex priority is an amazing price/intelligence tradeoff for non-latency sens…

I’m sure they do something like that. I’ve noticed azure has way faster gpt 4.1 than OpenAI
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