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This is awesome. No preview release either, which is great to production. They are pushing the prices higher with each release though: API pricing is up to $0.
by __jl__ 10mo ago
This is awesome. No preview release either, which is great to production.
They are pushing the prices higher with each release though:
API pricing is up to $0.5/M for input and $3/M for output
For comparison:
Gemini 3.0 Flash: $0.50/M for input and $3.00/M for output
Gemini 2.5 Flash: $0.30/M for input and $2.50/M for output
Gemini 2.0 Flash: $0.15/M for input and $0.60/M for output
Gemini 1.5 Flash: $0.075/M for input and $0.30/M for output (after price drop)
Gemini 3.0 Pro: $2.00/M for input and $12/M for output
Gemini 2.5 Pro: $1.25/M for input and $10/M for output
Gemini 1.5 Pro: $1.25/M for input and $5/M for output
I think image input pricing went up even more.
Correction: It is a preview model...
- srameshc 10mo agoThanks that was a great breakup of cost. I just assumed before that it was the same pricing. The pricing probably comes from the confidence and the buzz around Gemini 3.0 as one of the best performing models. But competetion is hot in the area and it's not too far where we get similar performing models for cheaper price.
- mips_avatar 10mo agoI'm more curious how Gemini 3 flash lite performs/is priced when it comes out. Because it may be that for most non coding tasks the distinction isn't between pro and flash but between flash and flash lite.
- uluyol 10mo agoAre these the current prices or the prices at the time the models were released?
- __jl__ 10mo agoMostly at the time of release except for 1.5 Flash which got a price drop in Aug 2024. Google has been discontinuing older models after several months of transition period so I would expect the same for the 2.5 models. But that process only starts when the release version of 3 models is out (pro and flash are in preview right now).
- YetAnotherNick 10mo agoFor comparison, GPT-5 mini is $0.25/M for input and $2.00/M for output, so double the price for input and 50% higher for output.
- AuthError 10mo agoflash is closer to sonnet than gpt minis though
- sunaookami 10mo agoThis is a preview release.
- reed1234 10mo agohttps://openrouter.ai/google/gemini-3-flash-preview https://openrouter.ai/google/gemini-3-flash-preview
- misiti3780 10mo agois there a website where i can compare openai, anthropic and gemini models on cost/token ?
- jsnell 10mo agoThere are plenty. But it's not the comparison you want to be making. There is too much variability between the number of tokens used for a single response, especially once reasoning models became a thing. And it gets even worse when you put the models into a variable length output loop. You really need to look at the cost per task. artificialanalysis.ai has a good composite score, measures the cost of running all the benchmarks, and has 2d a intelligence vs. cost graph.
- misiti3780 10mo agothanks
- deaux 10mo agoFor reference the above completely depends on what you're using them for. For many tasks, the number of tokens used is consistent within 10~20%.
- int_19h 10mo agohttps://openrouter.ai/models https://openrouter.ai/models
- rrhartjr 10mo agohttps://www.llm-prices.com/ https://www.llm-prices.com/
- deaux 10mo agohttps://www.helicone.ai/llm-cost https://www.helicone.ai/llm-cost Tried a lot of them and settled on this one, they update instantly on model release and having all models on one page is the best UX.
- martythemaniak 10mo agoThe price increase sucks, but you really do get a whole lot more. They also had the "Flash Lite" series, 2.5 Flash Lite is 0.10/M, hopefully we see something like 3.0 Flash Lite for .20-.25.
- KoolKat23 10mo agoToken usage also needs to be factored in specifically when thinking is enabled, these newer models find more difficult problems easier and use less tokens to solve.