Gemini 3.6 Flash: Pro-Level Coding at Flash Speed and Cost
I'm excited to introduce Gemini 3.6 Flash, a new model delivering near-Pro intelligence with Flash-tier speed and cost efficiency. It excels in complex coding, parallel agentic execution, and multi-step orchestration while offering improved token efficiency. Available on the Gemini Enterprise Agent Platform and via our Gen AI SDK, this model supports advanced features like Computer Use and Agentic Video, making it ideal for high-performance, cost-sensitive applications.
Gemini 3.6 Flash delivers near-Pro intelligence at Flash-tier cost and speed: Pro-level coding proficiency, parallel agentic execution, all at a much lower price.
- CWuestefeld
I'm not at all an industry pundit. But I suspect there's a reason we're not seeing leading models from Google recently.
Judging from my own frustrating attempts to use Gemini for vibe-coding, it seems like Google is badly over-sold (i.e., under-provisioned).
From all those promos giving away their pro-level subscription with phones; spinning up a mid-level subscription to undercut other providers and (probably most significantly) putting AI queries into ever search response because their flagship search product had become useless; they're promising a lot more processing to customers than they can reliably deliver.
The recent iterations seem to be intended not to push the capabilities forward, but to deliver capabilities at the current level while consuming less resources. That will allow them to maintain their trajectory until (I'm expecting) they get the huge infusion of extra compute resources from Space X later this year.
If I'm right, then I expect we should see Google start pushing forward again (rather than more of this lateral stuff) by the end of the year.
- simonpure
Official announcement
https://blog.google/innovation-and-ai/models-and-research/ge...
- hmate9
This model is not for builders and engineers. DeepSWE score of 49% is behind gpt 5.4 and muse spark. It's clearly intended to be an efficient model for google gemini usage.
What is interesting is how this is announced before any Gemini Pro progress. From the outside it seems as though Google cannot keep up with other frontier models.