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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

#281

Post by leemoore »

Imustaskforhelp wrote: post #241
tonyhart7 wrote: post #235

Earlier quoted context omitted.

I think google is the only one that still produce general knowledge LLM right now claude is coding model from the start but GPT is in more and more becoming coding model

I agree with this observation. Gemini does feel like code-red for basically every AI company like chatgpt,claude etc. too in my opinion if the underlying model is both fast and cheap and good enough I hope open source AI models catch up to gemini 3 / gemini 3 flash. Or google open sources it but lets be honest that google isnt open sourcing gemini 3 flash and I guess the best bet mostly nowadays in open source is pro…

Gemini isn't code red for Anthropic. Gemini threatens none of Anthropic's positioning in the market.

Re: Gemini 3 Flash: Frontier intelligence built for speed

#282

Post by yunohn »

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

I love how every single LLM model release is accompanied by pre-release insiders proclaiming how it’s the best model yet…

Re: Gemini 3 Flash: Frontier intelligence built for speed

#283

Post by waffletower »

Workaccount2 wrote: post #262
Imustaskforhelp wrote: post #241

Earlier quoted context omitted.

I agree with this observation. Gemini does feel like code-red for basically every AI company like chatgpt,claude etc. too in my opinion if the underlying model is both fast and cheap and good enough I hope open source AI models catch up to gemini 3 / gemini 3 flash. Or google open sources it but lets be honest that google isnt open sourcing gemini 3 flash and I guess the best bet mostly nowadays in open source is pro…

Open source models are riding coat tails, they are basically just distilling the giant SOTA models, hence perpetually being 4-6mos behind.

If this quantification of lag is anywhere near accurate (it may be larger and/or more complex to describe), soon open source models will be "simply good enough". Perhaps companies like Apple could be 2nd round AI growth companies -- where they market optimized private AI devices via already capable Macbooks or rumored appliances. While not obviating cloud AI, they could cheaply provide capable models without subscription while driving their revenue through increased device sales. If the cost of cloud AI increases to support its expense, this use case will act as a check on subscription prices.

Re: Gemini 3 Flash: Frontier intelligence built for speed

#286

Post by sosodev »

fariszr wrote: post #7

These flash models keep getting more expensive with every release. Is there an OSS model that's better than 2.0 flash with similar pricing, speed and a 1m context window? Edit: this is not the typical flash model, it's actually an insane value if the benchmarks match real world usage. > Gemini 3 Flash achieves a score of 78%, outperforming not only the 2.5 series, but also Gemini 3 Pro. It strikes an ideal balance fo…

Nvidia released Nemotron 3 nano recently and I think it fits your requirements for an OSS model: https://huggingface.co/nvidia/NVIDIA-Nemotron-3-Nano-30B-A3B...

It's extremely fast on good hardware, quite smart, and can support up to 1m context with reasonable accuracy

Re: Gemini 3 Flash: Frontier intelligence built for speed

#287

Post by albumen »

scrollop wrote: post #225
kingstnap wrote: post #54

It has a SimpleQA score of 69%, a benchmark that tests knowledge on extremely niche facts, that's actually ridiculously high (Gemini 2.5 *Pro* had 55%) and reflects either training on the test set or some sort of cracked way to pack a ton of parametric knowledge into a Flash Model. I'm speculating but Google might have figured out some training magic trick to balance out the information storage in model capacity. Tha…

Also https://artificialanalysis.ai/evaluations/omniscience Prepare to be amazed

I’m amazed by how much Gemini 3 flash hallucinates; it performs poorly in that metric (along with lots of other models). In the Hallucination Rate vs. AA-Omniscience Index chart, it’s not in the most desirable quadrant; GPT-5.1 (high), opus 4.5 and 4.5 haiku are.

Can someone explain how Gemini 3 pro/flash then do so well then in the overall Omniscience: Knowledge and Hallucination Benchmark?

Re: Gemini 3 Flash: Frontier intelligence built for speed

#288

Post by mips_avatar »

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 the mini model. Now as a developer I'm doing evals on all three of these combinations. I'm running my evals on gemini 3 flash right now, and it's outperforming gpt5 thinking without thinking. OpenAI should stop trying to come up with ads and make models that are useful.

Re: Gemini 3 Flash: Frontier intelligence built for speed

#289

Post by ralusek »

leemoore wrote: post #281
Imustaskforhelp wrote: post #241

Earlier quoted context omitted.

I agree with this observation. Gemini does feel like code-red for basically every AI company like chatgpt,claude etc. too in my opinion if the underlying model is both fast and cheap and good enough I hope open source AI models catch up to gemini 3 / gemini 3 flash. Or google open sources it but lets be honest that google isnt open sourcing gemini 3 flash and I guess the best bet mostly nowadays in open source is pro…

Gemini isn't code red for Anthropic. Gemini threatens none of Anthropic's positioning in the market.

Yes it does. I never use Claude anymore outside of agentic tasks.

Re: Gemini 3 Flash: Frontier intelligence built for speed

#290

Post by RobinL »

skerit wrote: post #276
RobinL wrote: post #238

Feels like Google is really pulling ahead of the pack here. A model that is cheap, fast and good, combined with Android and gsuite integration seems like such powerful combination. Presumably a big motivation for them is to be first to get something good and cheap enough they can serve to every Android device, ahead of whatever the OpenAI/Jony Ive hardware project will be, and way ahead of Apple Intelligence. Speakin…

Pulling ahead? Depends on the usecase I guess. 3 turns into a very basic Gemini-CLI session and Gemini 3 Pro has already messed up a simple `Edit` tool-call. And it's awfully slow. In 27 minutes it did 17 tool calls, and only managed to modify 2 files. Meanwhile Claude-Code flies through the same task in 5 minutes.

Yeah - agree, Anthropic much better for coding. I'm more thinking about the 'average chat user' (the larger potential userbase), most of whom are on chatgpt.
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