Gemini 3.1 Flash Lite

“it's the best model for semantic image segmentation in my experience”

“Flash-lite is pretty capable and getting that entirely for free is not a bad deal at all.”

“it would just spit out nonsense BS saying that it can't turn the lights on or off”

“It failed to make a connection between "now" and the current time, nothing to do with Google Maps.”

“how hard it is to steer this trash model even when fed already correct information”

“it still is a beast when feeding it one or two pdf documents and asking questions about them and it's hella fast”

“Gemini 2.5 Flash-Lite was enough for me to set older Dishonored: DotO builds free of Denuvo”

“susceptible to very bad instruction following and recall when either complexity or context size inch up”

“Gemini is still my top choice within production software for typical data extraction from unstructured data.”

“So in production we have been using Gemini Flash Lite as primary”

“1000s of free LLM calls to flash-lite models, which are more than upto this task”

“their Flash and Flash Light models are horrendously overpriced on task benchmarks”

“both more expensive (was $0.10/$0.40) and now either ($0.25/$1.50) or ($0.15/$0.60)”

“3.5 flash lite is super fast, cheap and token efficient and accepts any kind of input”

“currently has the best ratio for price/speed/intelligence for understanding images”

“It's not following instructions and is not producing the correct tool calls.”

“gemini-3.1-flash-lite is ~20% higher accuracy than the next best model of comparable cost”

“I'm a big fan of the Flash-Lite models. They're exceedingly fast and deliver great outputs for high volume use cases”

“has been my go to for cheap document processing at scale”

“gemini-3.5-flash-lite: $0.30 input / $2.50 output (a 6.25x increase over 2.5!)”

“The replacement 3.1 flash lite is a lot more expensive, but now also has a sunset date.”

“3.5 flash lite is even more expensive.”

“agentic models of this size are a huge value-add for 90% of knowledge work agent tasks”

“That's a great result if you care about cost for performance.”

“on high was basically just burning tokens, costing like 30x more, while giving worse answers”

“it had lots of random interruptions like when I was testing it”

“Then goes off and lists the things you'll need which at a cursory glance seems like good starting points.”

“It's cheaper than 2.5 Flash, and in my experience with the free tier, quite an upgrade in terms of quality of response.”

“It also allows you to use the fast models to have these tasks done in seconds rather than minutes.”

“I recently settled on 3.1 Flash Lite after testing basically everything on offer on OpenRouter, and it was not a close call - cheaper, faster, and better”

“the Gemini Flash and Flash Lite models are super capable for the price”

“on High used 1.5M reasoning tokens, and it's cost was 5x the one of running 5.3-Codex”

“Gemini 2.5 Flash Lite is also good at this, but not noticeably better, and it costs more.”

“Do not use 3.1 Flash-Lite with HIGH reasoning, it reasons for almost max output size”

“Flash-Lite’s $0.25/$1.50 price finally lets us run the translation+compliance queue without ripping through tokens.”

“If 3.1-flash-lite can do the job, this solves basically all latency issues for agentic workflows.”

“2.5-flash and therefore 2.5-flash-lite failed some of my agentic workflows.”

“translating ~10k lines comes out to around $0.60 using Gemini Flash Lite”

“Gemini 2.5 Flash Lite needs a lot more steering than regular 2.5 Flash, but it is a very capable model”

“My results were interspersed with random snippets of legible, non-gibberish English language.”