Google unveils Gemini 3.7 Flash, its “most intelligent workhorse model” for coding and agents, priced at $0.75/1M input and $3.75/1M output tokens through 2026
Our most intelligent workhorse model yet for coding and agents. — Senior Director, Product Management, on behalf of the Gemini team
Google Tulsee Doshi
Context & Ripple Effects
Google has been stepping down Flash pricing across successive releases: [[a:1169257|Gemini 3.5 Flash was priced at $1.50 per million input tokens and $9 per million output tokens]], while Gemini 3.6 Flash kept input pricing at $1.50 and cut output to $7.50. Gemini 3.7 Flash halves both of those 3.6 rates while Google positions it for coding and agents.
The Flash line began as a lighter, lower-cost counterpart with the same multimodal capabilities as Gemini Pro in Google's Gemini 1.5 Flash launch. The new release pairs that cost trajectory with a stronger “workhorse” positioning rather than treating lower price as a reduced-capability tier.
First-order effects
- Developers deploying coding and agent workloads on Gemini 3.7 Flash face lower listed token charges than on Gemini 3.6 Flash: $0.75 versus $1.50 for input and $3.75 versus $7.50 for output per million tokens through 2026.
- Google gives existing Flash customers a new default price-performance option for workloads where repeated model calls make output-token pricing material.
Second-order effects
- Application builders can lower the operating cost of agent workflows or allocate the same budget to more model interaction, increasing pressure on competing API providers to justify higher token rates with capability or efficiency.
- Google’s own model selection becomes more segmented: 3.7 Flash targets higher-capability coding and agent work, while the previously listed 3.5 Flash-Lite price leaves a cheaper option for lighter workloads.
Third-order effects
- If successive Flash releases continue to improve capability while lowering listed rates, model providers will compete less on a single token price and more on the cost of completing useful agent tasks, including token efficiency.
- The pattern makes inference pricing a more explicit customer-acquisition lever for Google, tying its model releases to the economics of software built on its APIs.
The trend: Frontier-model vendors are turning stronger, cheaper inference into the core competitive lever for coding and agent workloads.
Related: Agentic unit economics · Effective inference cost · Gemini · Gemini 3.6 Flash pricing · Gemini 3.5 Flash pricing
Related Coverage
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Discussion
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@officiallogank
Logan Kilpatrick
on x
Introducing Gemini 3.7 Flash : ) - it is fast! - 50% lower price than 3.6 flash (through end of year) - strong intelligence increase in only ~3 weeks (thanks to some awesome algorithmic improvements) - available in the API, AI Studio, Antigravity, and more! [image]
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@arena
@arena
on x
Gemini 3.7 Flash (High) has reshaped the Pareto frontier in the Code Arena: WebDev and Text Arena! With a score of 1588 pts in the Code Arena: WebDev, it's priced at $0.75/ $3.75 per MToken. See Text Arena in the post below. Congrats to the @GoogleDeepMind team! [image]
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@theo
@theo
on x
We're never getting 3.5 Pro huh
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@kimmonismus
@kimmonismus
on x
We got Gemini 3.5,3.6 and now 3.7 At this point it's pretty clear that we won't see any 3.5 pro release.
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@ivanleomk
Ivan Leo
on x
I've had a blast playing with Gemini 3.7 Flash for work It's our strongest flash model yet which brings great performance at a fraction of the cost.
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@ai_for_success
AshutoshShrivastava
on x
Google just dropped Gemini 3.7 Flash new workhorse model built for coding and agents🔥 - Better coding and debugging - Stronger agentic workflows - Better web development - More accurate reasoning - 50% lower price than 3.6 Flash through the end of the year - $0.75/1M input and [i…
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@thegenioo
Hamza
on x
Price decrease for Gemini 3.7 flash is temporary and will expire on 31st December 2026 [image]
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@google
@google
on x
Today we're introducing Gemini 3.7 Flash, our most intelligent workhorse model yet for coding and agents. This model brings substantial gains across software engineering, web development, and complex knowledge work. Now through the end of the year, Gemini 3.7 Flash is available […
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@joshwoodward
Josh Woodward
on x
3.7 Flash: Fast, 50% cheaper, happened in ~3 weeks
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@ammaar
Ammaar Reshi
on x
Gemini 3.7 Flash is here 🔥 It's 50% cheaper than 3.6 Flash for the year, has made significant improvements in design adherence, web dev, and making games! Available on AI Studio, Antigravity, and the Gemini API. Here are some one shot demos below! [video]
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@drapersgulld
@drapersgulld
on x
Gemini 3.7 Flash now out - price is $0.75 / $3.75 per 1M tokens (input / output). That is “through Dec 31st, 2026” (basically forever). After goes to $1.50 / $7.50. Interestingly - also dropped Gemini 3.6 Flash in half too, to $0.75 / $3.75. Model card link below. [image]
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@geminiapp
@geminiapp
on x
Gemini Spark now runs on Gemini 3.7 Flash.⚡️ Whether you're using Spark to compile vendors into Sheets or draft negotiation emails, 3.7 Flash makes your personal AI agent more precise and accurate with improved tool use for @GoogleWorkspace apps to help turn ideas into action.
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@tokumin
Simon
on x
The biggest experience change with Gemini Flash 3.7 is that it's actually (finally?) pleasant to work with. It checks back, confirms risky moves and works with you. It's crisp, and nicely aligned. Likeability is going to be more and more important as capabilities converge.
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@thefox
Nick Fox
on x
3.7 Flash is here, coming hot on the heels of 3.6 Flash...and it's fast!
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@googledeepmind
@googledeepmind
on x
🔵 It shows strong gains over 3.6 Flash in key coding tasks like debugging and issue resolution. 🔵 It's better at designing more functional web layouts and apps using fewer prompts. 🔵 It delivers improved reasoning and accuracy when completing real-world business workflows. [image…
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@googleaistudio
@googleaistudio
on x
introducing Gemini 3.7 Flash: our most intelligent workhorse model yet for coding and agents this release comes just three weeks after Gemini 3.6 Flash, and is a direct result of developer feedback and algorithmic innovations that we look forward to bringing to future models [vid…
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@teortaxestex
@teortaxestex
on x
They're a bit behind on Agent's Last Exam and overall not really a lot ahead On prices they're now about on par (peak time included) but really, why do we assume Google DeepMind can't compete with DeepSeek? This isn't amateur hour
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@officiallogank
Logan Kilpatrick
on x
Very cool to see the progress from 3.5, to 3.6, and now to 3.7 in such a short time. Lots of hard work from the teams across GDM to make this possible. We have also continued to push hard on making the model feel more usable for real work. [image]
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@dynamicwebpaige
@dynamicwebpaige
on x
🙌 Gemini 3.7 Flash has been rock solid for analyzing complex PDF documents, extracting data from tables, transcribing and describing .mp4 files, and taking action on + synthesizing all of that content. 👇Test it out, and tell us what you think!
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@antigravity
@antigravity
on x
Watch Gemini 3.7 Flash handle autonomous website optimization in Google Antigravity. Leveraging MCP servers, multimodal understanding, and long-horizon execution, the agent sets out to achieve a 100 across all Lighthouse metrics and modernize the site to the latest web [video]
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@angaisb_
Angel
on x
I call out the bad but I also call out the good Gemini 3.7 Flash finally beats GPT-5.6 for its cost on the Artificial Analysis Intelligence Index That doesn't mean it's good at coding, as DeepSWE shows, but it's a good step forward [image]
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@wallstengine
@wallstengine
on x
Google launches Gemini 3.7 Flash at introductory pricing of $0.75/1M input tokens and $3.75/1M output tokens through year-end. Vs. 3.6 Flash: FrontierCode: 43.6% vs. 34.4% DeepSWE: 65.3% vs. 48.6% AutomationBench: 30.4% vs. 17.0% Standard pricing doubles starting Jan. 1, 2027. [i…
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@kimmonismus
@kimmonismus
on x
A few days changed the entire game: - DeepSeek V4 Pro's cache-hit input price will rise from $0.003625 to as much as $0.044 per million tokens during peak hours - a 1,114% increase. - Gemini 3.7 Flash launched at 50% below Gemini 3.6 Flash's original price. Google has [image]
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@angaisb_
Angel
on x
Introducing Gemini 3.7 Flash Worse than GPT-5.6 Luna, for more than 3x the cost [image]
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@brianryhuang
Brian Huang
on x
We've been working hard closing the gap in coding capabilities. Gemini 3.7 Flash is a great model, a step change from our past releases and internal buzz with Antigravity-using Googlers is that it feels like a strong Opus while, of course, being ⚡️ blazing fast! Give it a spin!
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@raullen
@raullen
on x
Great chart, but I expect Gemini 3.7 Flash to be an inflection point on this diagram (redefining the balance between intelligence and cost) rather than just another point on the curve 🤷♂️
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@arena
@arena
on x
Gemini 3.7 Flash (High) has also reshaped the Text Arena, with 1490 pts! [image]
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@arena
@arena
on x
Gemini 3.7 Flash (High) by @GoogleDeepMind just landed in the Code Arena: WebDev and Text Arena! This release is a strong improvement from its previous model Gemini 3.6 Flash (High): #19 -> #8 in the Code Arena: WebDev. By category, it ranks in the 10 top in domains for: - #7 [vi…
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@github
@github
on x
🆕 @GoogleAI's Gemini 3.7 Flash is now generally available and rolling out in GitHub Copilot. Early testing shows: ➡️ improvements in web and app development and agentic coding workflows ➡️ improvements in code quality, final-output presentation, codebase research, and [image]
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@norwakar
Diwakar Ray Yadav
on x
🚨 Gemini 3.7 Flash is already here Aggressive A/B testing is live right now on gemini + AI Studio. They're literally forcing users to pick Early signals: • Better than 3.6 Flash • Still... meh 🫠 • Expected in the next few hours The 3.x Flash era continues... [image]
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@googledeepmind
@googledeepmind
on x
Gemini 3.7 Flash is here. It's stronger for coding, knowledge work, and web development. 🧵 [image]
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@koraykv
Koray Kavukcuoglu
on x
3.7 Flash brings a big jump in agentic performance and coding accuracy. To demonstrate, we set up a 3-agent team to autonomously train a robotics control model from scratch. We hope you like 3.7 Flash, and you can read more here: https://blog.google/... [video]
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@linusekenstam
@linusekenstam
on x
@demishassabis seems like flash keeps being a constant driver for getting internal apps cost down, while also allowing thirdparties to benefit from the aggressive experience curve.
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@simonw
Simon Willison
on x
I got a REALLY good pelican riding a bicycle from it running on thinking level “high” [image]
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@m4rkmc
@m4rkmc
on x
Excited to launch Gemini 3.7 Flash! This is our best Flash model yet, across a number of dimensions. Let me know what you think :) [image]
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@artificialanlys
@artificialanlys
on x
Google has released Gemini 3.7 Flash, improving 4 points over Gemini 3.6 Flash and reaching the Intelligence vs. Time per Task Pareto frontier @GoogleDeepMind has released its third new Gemini Flash model in three months. Gemini 3.7 Flash (high) scores 56 on the Artificial [image…
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@arena
@arena
on x
Gemini 3.7 Flash (High) by @GoogleDeepMind has landed in the Agent Arena with net-improvement score of +3.4%! It ranks #20 overall in Agent Arena — a significant jump over Gemini 3.6 Flash (High) at #35, and now sits in the same range as Claude Sonnet 4.6 and GPT-5.6 Terra [image…
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@aravsrinivas
Aravind Srinivas
on x
Gemini Flash models are great for fast, cost-efficient subagents inside any multi-model harness. We use them a lot inside the Perplexity Computer harness.
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@aibattle_
@aibattle_
on x
Gemini 3.7 Flash scores 56 on the Artifical Analysis Intelligence Index. One point behind GPT-5.6 Terra Max [image]
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@samiramanabi
Samira Khan
on x
I used to stalk Noam Shazeer's experiments and clients to passively learn from his work. Some times I will ask him what was that about? He has this uncanny ability to experiment with many orthogonal ideas and extrapolate how things will work at scale.
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@evanotero
Evan Otero
on x
Introducing Gemini 3.7 Flash ⚡⚡⚡ Our most intelligent workhorse model yet for coding and agents delivers higher intelligence and better accuracy than 3.6 Flash. Plus, we're lowering the cost of both Gemini 3.7 and Gemini 3.6 Flash. Now available across Google Antigravity [image]
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@google
@google
on x
Starting today for Google AI Pro and Ultra subscribers, Gemini Spark - your 24/7 personal AI agent in the @GeminiApp - will also run on Gemini 3.7 Flash ✨ Now when you ask Gemini Spark to get things done for you, our smartest workhorse model is on the job handling multi-step [vid…
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@googlecloudtech
@googlecloudtech
on x
Introducing Gemini 3.7 Flash, our most intelligent workhorse model yet for coding and agents—with an introductory price of half the original 3.6 Flash cost per million tokens! Scale production-ready agents cost effectively → https://blog.google/... [video]
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@sundarpichai
Sundar Pichai
on x
Our Flash models are workhorses that offer performance at a great price. So, we're shipping updates fast to get them in developers' hands. And now just 3 weeks after launching 3.6 Flash, 3.7 Flash shows significant gains including in coding and agentic work. It delivers substa…
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@googleaistudio
@googleaistudio
on x
Gemini 3.7 Flash is here, look at what you can build: [video]
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@andrew_n_carr
Andrew Carr
on x
Codex and I spent several days testing this model back and forth. We were both very impressed. Anyway, I shared the launch with codex afterwards and they were so excited our work made it in. Check it out https://blog.google/... [image]
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@ml_angelopoulos
Anastasios Nikolas Angelopoulos
on x
Awesome to see. This makes @GoogleDeepMind the only US lab other than Anthropic that's on the pareto frontier of Code Arena. This has been Google's biggest edge: the ROI on Google models is fantastic. They are leaders in performance-per-cost. [image]
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@cognition
@cognition
on x
Gemini 3.7 Flash is now available in Devin. On FrontierCode 1.1, it reaches Claude Sonnet 5-level performance at less than half the cost, with the low latency the Flash series is known for. [image]
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@lmthang
Thang Luong
on x
Gemini 3.7 pushed the pareto frontier on cost and quality on agentic tasks (DeepSWE in this case). Looking forward to more launches to come! [image]
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@osanseviero
Omar Sanseviero
on x
Excited to introduce Gemini 3.7 Flash⚡️ The quality jump from this model has been very noticeable. I've been building with it for the last couple of days and having lots of fun. Also...we're launching at 50% the price until EOY Excited to see what you build with it! [image]
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@demishassabis
Demis Hassabis
on x
Gemini 3.7 Flash brings major upgrades for software engineering, web dev & knowledge work. And introductory price is half the original 3.6 Flash cost. Happy building - enjoy!
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@googleai
@googleai
on x
Our most intelligent workhorse model yet for coding and agents has arrived ⚡ Meet Gemini 3.7 Flash. — Crush that seemingly endless to-do list. Gemini Spark in the @geminiapp now uses 3.7 Flash. The new model can equip your personal AI agent to work even smarter for you by [video]
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@rohanpaul_ai
Rohan Paul
on x
Google released Gemini 3.7 Flash just 3 weeks after 3.6 Flash, halving introductory API prices. 3.7 Flash is priced at $0.75/$3.75 against 3.6 Flash's standard $1.50/$7.50 Google says 3.7 Flash “thinks more diligently,” applying more effort to multi-step planning and tool [image]
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@_philschmid
Philipp Schmid
on x
Say hello to Gemini 3.7 Flash, generally available today! ⚡️We took your feedback and pushed hard on real-world coding benchmarks and agent autonomy: - Major jumps on coding and agentic use cases - DeepSWE (65.3% vs 49.0%) FrontierCode (43.6% vs 34.4%), AutomationBench (30.4% vs …
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@vaibhavsisinty
Vaibhav Sisinty
on x
Google dropped an AI model so cheap that building a full website with it costs less than a cup of chai. 🤯 It is Gemini 3.7 Flash and it launched today. Half the price of the version they released three weeks ago. Significantly smarter. Here is what you can actually do with it:
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@chetaslua
@chetaslua
on x
Gemini 3.7 Flash — the CHEAP model — tripled its agent score (Terminal-bench 3.0: 5.4% → 14.9%) in THREE WEEKS not a new generation. a point release. 21 days. flash went 3.5 → 3.6 → 3.7 in ~3 months while the price got cut in half [image]
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@googledevs
@googledevs
on x
Introducing Gemini 3.7 Flash ⚡— our most intelligent workhorse model yet for coding and agents. Gemini 3.7 Flash delivers better intelligence for complex workflows and is available with an introductory price of half the original 3.6 Flash cost per million tokens ($0.75/1M input
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@ajaysinghadiya8
Ajay Singhadiya
on x
Finally something is from their side... 🚀 Google just dropped Gemini 3.7 Flash, and it's a game-changer for agentic workflows and coding. Here's the full breakdown on capabilities, specs, and how it compares to 3.6 Flash: ⚡ What It Is Gemini 3.7 Flash delivers near-Pro [image]
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@simonw
Simon Willison
on x
The “introductory pricing” for the 3.7 Flash model is really weird It's scheduled to double in price on December 31, 2026, but who would anticipate still using this model five months from now? Especially since 3.6 Flash came out just three weeks ago!
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@jackwoth98
Jack Wotherspoon
on x
Say hello to Gemini 3.7 Flash, our most intelligent workhorse model yet ⚡️ Been using it as a daily driver and it truly feels great to build with, excited for you all to test it today. More intelligence at a 50% lower price than 3.6 flash (through end of year). [image]
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@bindureddy
Bindu Reddy
on x
Gemini 3.7 Flash Just Dropped The headline - 50% cheaper than Flash 3.6 TBH, they should just make it free and unlimited 😂😂
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@antigravity
@antigravity
on x
Gemini 3.7 Flash is now live in Google Antigravity 🚀 Our most intelligent workhorse model yet for coding and agents. Download or upgrade Antigravity to try 3.7 Flash today. [image]
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@openrouter
@openrouter
on x
Gemini 3.7 Flash is an extra 50% off exclusively on OpenRouter through August 27. Based on our testing, we think @GoogleDeepMind's new model will be especially competitive for multimodal and agentic workloads at OpenRouter's price. [image]
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@thtbee_
Bee
on x
Gemini 3.7 Flash is showing some impressive improvements over 3.6 Flash.. The major one being the reasoning.. which was lacking a lot in the earlier Flash models seems to have been improved.. The Comeback has started!👀
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@itspaulai
Paul Couvert
on x
Wait Google has released Gemini 3.7 Flash... and it's actually good?! This is one of the most efficient models at this intelligence level. - Better than Sonnet 5/GPT-5.6 Terra/Muse Spark 1.2 - 2x cheaper than 3.6 Flash (through end of year at least) - Already in AI Studio, [image…
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@cgarciae88
Cristian Garcia
on x
its crazy fast, you can use it like a smart shell basically since the responses are back so quickly if you pair it with a bigger model for planning on harder tasks, execution is quite nice
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@sunjiao123sun_
Jiao Sun
on x
Super proud of how much the team is able to achieve within a short, intense time! ESP great webdev capability with CodeArena score 1588, at the half price! We won't stop until we bring you the best coding experience!
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@afinetheorem
Kevin A. Bryan
on x
Say what you will about Gemini, but they are still the clear leader - esp. at the price - in vision+logic tasks. Even moreso on video. (And yes, getting ever closer to 50% pass@1 on this, which is wild. Some model has by now gotten 73% of these exactly, 91% within 100 miles...) […
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@koraykv
Koray Kavukcuoglu
on x
Today we're launching Gemini 3.7 Flash - our latest workhorse model for coding and agentic workflows, with an introductory price at half the original cost of 3.6 Flash. ⚡️ We have been iterating rapidly with the Flash series, going from 3.5 to 3.7 in just 3 months, making it [ima…
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@natolambert
Nathan Lambert
on x
Good on Google for shipping this. Looks like a solid model, and the only way past the haters is through the pain of public feedback. Better to do it sooner than later.
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@googleaistudio
@googleaistudio
on x
https://x.com/...
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@scaling01
@scaling01
on x
Gemini 3.7 Flash benchmarks [image]
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@kimmonismus
@kimmonismus
on x
Gemini 3.7 Flash official released. Surprisingly solid jump over 3.6! FrontierCode: 43.6% vs. 34.4% DeepSWE: 65.3% vs. 49.0% AutomationBench: 30.4% vs. 17.0% WebDev Arena: 1588 vs. 1538 Elo The model is designed to plan more carefully, handle tool calls more reliably and requir…
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@stocksavvyshay
Shay Boloor
on x
$GOOGL just introduced Gemini 3.7 Flash with introductory pricing of $0.75 per 1M input tokens and $3.75 per 1M output tokens. Gemini 3.7 Flash pairs low pricing with a ~44% FrontierCode 1.1 score versus ~43% for Claude Sonnet 5 and ~41% for GPT-5.6 Terra. [image]
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@tekbog
@tekbog
on x
google should be smoking everyone on token prices with their infinite infra talent and compute just drive the price to the bottom it's the only way if they don't, elon will
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@adxtyahq
Aditya
on x
Kimi K3 VS Gemini 3.7 Flash Gemini was much faster, taking around 9 minutes with a few autofixes, but the output had a lot of bugs. Jittering, random hangs, locked jumps, and at one point it got stuck holding W and I couldn't do anything. Kimi took around 16 minutes, but the [vid…
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@leerob
Lee Robinson
on x
Gemini 3.7 Flash is now available in Cursor! Here are some of the results on our evals ↓ [image]
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Vikas Anand
Vikas Anand
on linkedin
The real metric for AI models isn't benchmark scores anymore. It's “how often do I have to manually fix what it broke?” …
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Patrick Löber
Patrick Löber
on linkedin
important Gemini API updates to know about: — starting with Gemini 3.6 Flash and 3.5 Flash-Lite, temperature, top_p, and top_k are deprecated. …
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Darren Lester
Darren Lester
on linkedin
It sounds like a small increment, but gemini-3.7-flash is a substantial improvement on gemini-3.6-flash, despite the latter being just a few weeks old. …
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Jim Fairweather
Jim Fairweather
on linkedin
Most AI features never make it past the prototype stage for two reasons: cost and speed. — If an AI workflow is too slow, users abandon it. …
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@timkellogg.me
Mr. Tim
on bluesky
Gemini 3.7 Flash is here! — and these bars are ordered very intentionally — blog.google/innovation-a... [image]
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r/Bard
r
on reddit
Introducing Gemini 3.7 Flash