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Show HN: Price Per Token – LLM API Pricing Data (pricepertoken.com)

339 points by alexellman ↗ HN
The LLM providers are constantly adding new models and updating their API prices. Anyone building AI applications knows that these prices are very important to their bottom line. The only place I am aware of is going to these provider's individual website pages to check the price per token.

To solve this inconvenience I spent a few hours making pricepertoken.com which has the latest model's up-to-date prices all in one place.

Thinking about adding image models too especially since you have multiple options (fal, replicate) to use the same model and the prices are not always the same.

62 comments

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callbacked
Awesome list, any chance of adding OpenRouter? Looking at their website seems like it would be a pain to scrape all of that due to the site's layout.
uponasmile
Well done. The UX is solid. Clean, intuitive, and the use of color makes everything instantly clear
dust42
tldr; low effort website that only contains 26 Google, OpenAI and Anthropic models and only input and output prices but no info about prompt cache and prompt cache prices. For a list of 473 models of 60+ providers with input, output, context, prompt caching and usage: https://openrouter.ai/models (no affiliation)
antoineMoPa
It would be fun to compare with inference providers (groq/vertex ai, etc.).
nisegami
How consistent is the tokenization across different model families? It always served as a mental hangup for me when comparing LLM inference pricing.
cahaya
Nice! Missing a cost calculator with input and output fields.
can16358p
Does anyone know why o1-pro is more expensive than o3-pro?
pierre
Main issue is that token are not equivalent across provider / models. With huge disparity inside provider beyond the tokenizer model:

- An image will take 10x token on gpt-4o-mini vs gpt-4.

- On gemini 2.5 pro output token are token except if you are using structure output, then all character are count as a token each for billing.

- ...

Having the price per token is nice, but what is really needed is to know how much a given query / answer will cost you, as not all token are equals.

aaronharnly
Can you gather historical information as well? I did a bit of spelunking of the Wayback Machine to gather a partial dataset for OpenAI, but mine is incomplete. Future planning is well-informed by understanding the trends — my rough calculation was that within a model family, prices drop by about 40-80% per 12 months.
DrJid
This is actually really awesome To see. Opened my eyes a bit. Ignore the haters.
kb_geek
Nice! It will be good to also pull in leaderboard rankings and/or benchmarks for each of these models, so we understand capability perhaps from lmsys (not sure if there is a better source)
mythz
There was a time when it was unbelievably frustrating to navigate the bunch of marketing pages required to find the cost of a newly announced model, now I just look at OpenRouter to find pricing.
lucasoshiro
"OpenAI, Anthropic, Google and more", where "and more" = 0. Where's Gemma, DeepSeek, etc?

The UI, however, is really clean and straight to the point. I like the interface, but miss the content

jacob019
Love it! It's going on my toolbar. I face the same problem, constantly trying to hunt down the latest pricing which is often changing. I think it's great that you want to add more models and features, but maybe keep the landing page simple with a default filter that just shows the current content.
l5870uoo9y
It appears that GPT-4.1 is missing, but nano and mini are there.
jalopy
Super valuable resource - thanks!

What tools / experiments out there exist to exercise these cheaper models to output more tokens / use more CoT tokens to achieve the quality of more expensive models?

eg, Gemini 2.5 flash / pro ratio is 1 1/3 for input, 1/8 for output... Surely there's a way to ask Flash to critique it's work more thoroughly to get to Pro level performance and still save money?

criddell
If you had a $2500ish budget for hardware, what types of models could you run locally? If $2500 isn't really enough, what would it take?

Are there any tutorials you can recommend for somebody interested in getting something running locally?

NitpickLawyer
> The only place I am aware of is going to these provider's individual website pages to check the price per token.

Openrouter is a good alternative. Added bonus that you can also see where the open models come in, and can make an educated guess on the true cost / size of a model, and how likely it is it's currently subsidised.

awongh
This is great, but as others have mentioned the UX problem is more complicated than this:

- for other models there are providers that serve the same model with different prices

- each provider optimizes for different parameters: speed, cost, etc.

- the same model can still be different quantizations

- some providers offer batch pricing (e.g., Grok API does not)

And there are plenty of other parameters to filter over- thinking vs. non-thinking, multi-modal or not, etc. not to even mention benchmarks ranking.

https://artificialanalysis.ai gives a blended cost number which helps with sorting a bit, but a blended cost model for input/output costs are going to change depending on what you're doing.

I'm still holding my breath for a site that has a really nice comparison UI.

Someone please build it!

sshah_24
can we not just self host, expose things through VPN, and something that needs sharing with the world, then tunnel through some cloud server to keep the internal servers secure?

I am newly to this hobby, but would like to know more about what experienced person things and do.