Google's Gemini 3.8 Flash matches frontier coding models at a fraction of the cost
Gemini 3.8 Flash and 3.8 Flash Cyber
Google DeepMind has unveiled Gemini 3.8 Flash and Gemini 3.8 Flash Cyber, its latest models for agentic workflows and cybersecurity. The Flash model delivers near-frontier performance on long-horizon coding and reasoning benchmarks like DeepSWE v1.1 and HLE-Verified, while maintaining the low price of its predecessor. The Cyber variant, available through the new Fairwind Program, excels at autonomous vulnerability discovery and patching, achieving a 47.2% pass@1 on CWE-Bench and outperforming larger models in Google's internal tests. Both models are now available to developers and enterprises.
The Chrome Security team found that 3.8 Flash Cyber produced 2.6 times more correct patches to vulnerabilities in Chrome than the best commercial models that are much larger.
- kamranjon
They've interestingly left out any mention of speed.
I have been testing 3.7 flash against 3.5 flash and it seems to lose every time in overall latency. Every benchmark I've seen seems to suggest the opposite[1] - that 3.7 flash is significantly (at times 2x) faster than 3.5 flash - but I have never been able to prove this out in real world use cases.
Has anyone found their latency numbers to actually be accurate? Is this why they've toned it down in this release? For context, I'm testing larger generation payloads that take 8-10 seconds in 3.5 flash and 15-25 seconds in 3.7 flash. Lowest reasoning settings in both cases.
1: https://artificialanalysis.ai/?speed=intelligence-vs-speed&m...
- TechRemarker
Hopefully before they release 4.0 Flash we will finally get Gemini 3.5 Pro.
- atemerev
Everyone is censoring models now with anything remotely resembling cyber or bio. I already have problems with my research in mathematical epidemiology because of that - both Sol and Fable simply refuse. They keep pushing people towards Chinese models that can be decensored.