alt Hacker NewsPricing is now live on ai.google.dev/pricing:
Gemini 3.5 Flash: $0.75 input / $4.50 output per 1M tokens, 1M context window. The output price explicitly "includes thinking tokens" — which is why it's higher than a typical flash-class model.
For comparison within the Gemini lineup: - Gemini 2.5 Flash: $0.30 / $2.50 - Gemini 3.1 Flash-Lite: $0.25 / $1.50 - Gemini 3.1 Pro Preview: $2.00 / $12.00
So 3.5 Flash is ~2.5x more expensive input vs 2.5 Flash. The pricing and "including thinking tokens" framing position it as a reasoning-capable flash model rather than just a pure speed optimization.
Replies
I think you have your pricing wrong there, Gemini 3.5 flash is $1.50 input and $9 output.
You are seeing batch inference, standard inference is $1.5/$9. I was excited until I saw that price.
Standard pricing is showing for me as $1.50 / $9.
(I suspect you're viewing the "flex" pricing).
Please delete/edit your AI-written and factually wrong post.
In addition to people pointing out your LLM got the pricing wrong,
> The pricing and "including thinking tokens" framing position it as a reasoning-capable flash model rather than just a pure speed optimization
Every Gemini model starting with 2.5 has been a reasoning model.
You’re quoting the batch pricing. On demand is 1.5 per input and 9 per M output. This is effectively comparable cost to Gemini 2.5 Pro in a flash tier model