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- Hacker News
- This is genuinely a competitive model, considering it beats Claude Sonnet 5 on almost all benchmarks and is more than half its price. Seems like Google is back in the game, though not leading the frontier anymore.by nickandbro
- Claude Sonnet 5 is such a garbage model, so not sure what that says about Google's new best model.by 9cb14c1ec0
- Google is not currently in the lead for maximum model capability, but it is still very competitive (or even best) in the multidimensional capability, cost, and speed frontier.by xnx
- > more than half its price
Less than half its price.
More than 50% discount.
by qeternity - Sonnet 5 is arguably the most cost ineffective model to ever be released, so that's not really impressive.
It can regularly cost more than Fable, take longer, and deliver far far lower quality.
I'm much more interested how this compares to Luna - which on price is terribly - but at least on quality the benchmarks make this look competitive / usable.
If Google continues monthly Flash releases like Sundar said they would, and they continue to have this much of an improvement in cost/quality - then in a few months this could reasonably be very competitive with the best of the best.
It is not there yet, but at least it's super fast, I guess.
- I just subbed to Gemini a week ago and have been using antigravity and 3.6 flash. The speed is absolutely a differentiator compared to Claude.by qudat
- Claude is terrible when it comes to speed.
Flash is great, but Codex models are also fast, as is DeepSeek v4 Flash.
Anyone who's Anthropic-pilled should really get out and explore and see how unbelievably terrible they are when it comes to speed and cost vs quality.
Anthropic has good models, they're just way too expensive and slow for what you pay for.
- > What's new in Gemini 3.7 Flash [0]
> Coding and agentic tasks: Significantly higher quality on real-world software engineering and agentic benchmarks, improving issue resolution and reducing failed agent loops.
> Web development and stronger design parity: Generates higher-fidelity desktop and web application code directly from design mocks, with strong gains in design adherence and in auditing existing codebases against mocks to verify 1:1 design parity.
> Promotional pricing: Gemini 3.7 Flash will be available at an introductory price of $0.75/1M input tokens and $3.75/1M output tokens. We’re also applying this new rate to 3.6 Flash. Introductory pricing expires on December 31, 2026; after, $1.50/1M input tokens and $7.50/1M output tokens will apply.
Still no sign of 3.5 Pro. Will have to test it, low expectations given every other model from the Gemini 3 lineage, but one can hope. Just struggle to understand the promotional pricing being temporary for four months. Given this industry, I'd be hard pressed if 3.7 Flash was still in use by end of year, so why not make it the official pricing?
by Topfi - >Given this industry, I'd be hard pressed if 3.7 Flash was still in use by end of year, so why not make it the official pricing
It was probably to placate some kind of general internal pricing/revenue benchmark that doesn't account for new model releases. Politicians do shit like this incessantly and it reeks of bureaucracy.
by WarmWash - The multimodal abilities are great, but if you deal with text only, what is the benefit of using this over DS V4 Flash/Pro? 13-26x cheaper with comparable intelligence, and available across many different inference providers.
I fail to see the usecase where DS V4 Pro is not enough, but Flash 3.7 is - except multimodal.
Luna is similar, and also 8x cheaper. Source: artificialanalysis
The only benefit I can see is the speed, that looks to be outstanding, probably thanks to their TPUs.
by euazOn - DSV4 Flash is in a tier of its own, until at least the price change arrives.by 127
- From my own testing, Gemini 3.5/3.6 Flash is better than DS v4 Flash/Pro on text ability.
- I guess the question then becomes "are you sure you'll do text only?"
I could probably do text only for my workflow (feature development/debugging for web microservices) but sometimes it is easier to just toss a screenshot into the Claude prompt, so that gives it an edge.
If your workflow is 100%, certifiably never ever going to involve an image, then yeah, this isn't going to be huge.
by lenerdenator - > over DS V4 Flash/Pro? 13-26x cheaper with comparable intelligence, and available across many different inference providers.
That's why DS4 already had a huge price hike announcement.
by re-thc - did you try to ingest 1M documents per hour with any provider except GCP with Flash? None work at scale. Deepseek, Luna, Mistral all fail. 1 in 3 requests is a fail. I stopped trying.
The only thing that works at scale is gemini flash.
by PunchTornado - for non-coding applications, i think speed is a real differentiator. Im building an app that uses LLMs for some functionality that the user would not have any reason to expect is using AI and therefore having then wait seconds or minutes is just not feasible. latency is a huge upside for meby anthonypasq
- > 13-26x cheaper with comparable intelligence, and available across many different inference providers.
Well, compared to 2 months ago, it's no longer 100x more expensive for similar levels of quality...
If they continue monthly-ish releases by 3.9 - by Halloween - they should be close to the best in terms of what you get for what you pay for.
In 2 months, they've gone from basically the bottom of the pack to at least being somewhat usable and competitive.
OpenAI and Anthropic release in a month, and change things. OpenAI is claiming to be close to an Astra release - but that seems like a Fable type release - where they're just releasing a better more expensive model, not more cost effective models.
- Gemini Flash is one of the best "good-enough" models. I use this type of model daily, for automation and quick development iteration loops.
Unfortunately, it's often not strong enough for heavy refactoring and long running development loops.
by fmind-dev - Yup. I use it for a ton of mundane queries (stuff that I might have used Google search for in the past) and it's great. Nice and fast and correct more often than not, especially if you prompt it in a way that it invokes Google search (but filters out ads and SEO slop). It's even alright at programming tasks but if it stumbles then I'll escalate to Gemini Pro with extended thinking.by dismalaf
- 'Tis a good workhouse, indeed. I hope they give us a 4.0 Pro that can use Flash subagents soon.by christoff12
- Yeah we use it for auto-triage of incidents, attempts to auto-remediate, and escalation to human. But for actual development, it’s not a viable option for us.by garciasn
- The Gemini Flash models makes perfect sense to me coming from a company like Google. Google AI Mode for search is a product I really find useful. It makes sense that Google focused on smaller, faster yet smart enough models that wouldn't break your bank on inference. It plays well into their product ecosystem.
Google AI Mode consistently gets me consistently good results and good speeds. It really changes what "googling" is for me.
by sid_talks - I like Gemini (I'm just a dumb person without knowledge of 'benchmarks' or how x compares to y) while understanding that shoving it into Google auto summaries has been a bad idea and produces inaccurate resultsby alex1138
- I similarly have a weird affinity for Gemini that I can't really articulate. I used Gemini's free chat and found it great for exploring technical topics (and random one-off general walking-around-questions) and appreciated its speed, tone and accuracy. I spent a month playing with Gemini CLI / Antigravity and found it also an effective coding agent, at least for my workflow (entirely in the loop development and review). I also was really surprised that I could just paste it images of a project I was working on and have it immediately understand what it was looking at -- which I've come to learn is considered a unique strong point for Gemini. I've been playing with GPT5.6 for about a month and it's definitely powerful but I honestly think I'll go back to Gemini. There's something kind of charming about working with an AI that not only is particularly good at web search and information gathering, but also one that doesn't feel like some superhuman overengineering freak when it comes to code.by gazebo2
- https://artificialanalysis.ai/models/gemini-3-7-flash
The selling point for gemini continues to be speed and particularly end-to-end response time.
by twelvechairs - Sol high is almost the same speed if you take into account drastically lower token use. Look at the artificial analysis speed vs token use. Gemini is 7x faster but 5x more tokens. And that's with Sol high being a substantially better model.
Edit: and Sol medium actually has the same AA intelligence score as Gemini 3.7, and has >7x fewer tokens, actually making it faster
- What's the typical response time for Gemini compared to other models?
- You can also customize Gemini Flash. It's a niche thing benefitting few, but you can tune gemini-3.7-flash in Google Vertex (now named "Agent Platform"?)by jpau
- I've blown away by flash 3.6's speed while Opus chugs along for _hours_ on similar tasks. I've gotten into a opus designed -> gemini implemented -> opus reviewed dev cycle recently.by vrosas
- It's funny that they don't mention this at all in the marketing or tech specs when it's obviously the biggest selling point by far. Without this it would be completely irrelevant.
Worth noting that OpenAI just announced that they got the full GPT 5.6 Sol model running on Cerebras at 750 tokens per second. No announcement of the pricing though...
by modeless