Gemini 3.1 Flash-Lite: Built for intelligence at scale

Post by XCSme » Wed, Mar 04, 2026, 1:06 AM UTC

XCSme wrote: post #30

vlmutolo wrote: post #29

Earlier quoted context omitted.

Wow, that’s very interesting. I wish more benchmarks were reported along with the total cost of running that benchmark. Dollars per token is kind of useless for the reasons you mentioned.

Yup, MiniMax M-2.5 is a standout in that aspect. It's $/token is very low, because it reasons forever (fun fact, that's also the reason why it's #1 on OpenRouter, because it simply burns through tokens, and OpenRouter ranking is based on tokens usage)...

Post by kristianp » Wed, Mar 04, 2026, 10:27 AM UTC

zzleeper wrote: post #32

msp26 wrote: post #26

What the fuck is this price hike? It was such a nice low end, fast model. Who needs 10 years of reasoning on this model size?? I'm gonna switch some workflows to qwen3.5. There's a lot of tasks that benefit from just having a mildly capable LLM and 2.5 Flash Lite worked out of the box for cheap. Can we get flash lite lite please? Edit: Logan said: "I think open source models like Gemma might be the answer here" Imply…

Are there good open models out there that beat gemini 2.5 flash on price? I often run data extraction queries ("here is this article, tell me xyz") with structured output (pydantic) and wasn't aware of any feasible (= supports pydantic) cheap enough soln :/