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Show HN: Price Per Token – LLM API Pricing Data
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.
- antoineMoPa 1y agoIt would be fun to compare with inference providers (groq/vertex ai, etc.).
- alexellman 1y agoyes going to add that
- hagope 1y agothis is great, I've always wanted something like this, do you think you can add other model metadata, like api name (`gemini-2.5-pro`), context length, modalities, etc
- deleted 1y ago[deleted]
- callbacked 1y agoAwesome 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.
- murshudoff 1y agohttps://openrouter.ai/docs/api-reference/list-available-models https://openrouter.ai/docs/api-reference/list-available-mode... OpenRouter has an endpoint to get models and their pricing
- alexellman 1y agoYeah I am going to be adding more sources like that and Groq but just wanted to start with the basics and see if it resonated
- bananapub 1y agosurprising that you didn't find any of the existing ones, including our own simonw's: https://www.llm-prices.com https://www.llm-prices.com
- alexellman 1y agoI searched around on Google and couldn't find anything
- xnx 1y agohttps://www.google.com/search?q=llm+price+comparison https://www.google.com/search?q=llm+price+comparison
- jjani 1y agoAnother one, with many more models: https://www.helicone.ai/llm-cost https://www.helicone.ai/llm-cost
- uponasmile 1y agoWell done. The UX is solid. Clean, intuitive, and the use of color makes everything instantly clear
- alexellman 1y agothanks I appreciate that
- dust42 1y agotldr; 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 https://openrouter.ai/models (no affiliation)
- jvanderbot 1y agoYou know, I immediately found this useful and bookmarked it. I'm not sure why "Simple" and "focused" means "bad"
- ramon156 1y agoSo would adding cache prices make it less "low effort blog spam"?
- dust42 1y agoWell, openrouter lists currently 473 models of dozens of providers. Three providers and 26 models is 2 minutes of Google search. I stand by my word to call that low effort.
- alexellman 1y agoI wanted to gauge interest before adding 500 models I plan on adding cache prices and making the list more comprehensive
- dust42 1y agoAs user murshudoff mentioned elsewhere in the discussion, openrouter has an endpoint to get the prices. Takes 1 minutes to get them.
- alexellman 1y agothen use OpenRouter, totally fine by me. Thought a dedicated website just for this would be useful.
- nisegami 1y agoHow consistent is the tokenization across different model families? It always served as a mental hangup for me when comparing LLM inference pricing.
- alexellman 1y agoThey all tokenize a little differently so they are not exactly 1-1. However I plan on addressing this by having each model complete a test task and getting the actual price from each api + token count to make a real 1-1 comparison.
- cahaya 1y agoNice! Missing a cost calculator with input and output fields.
- alexellman 1y agoCan add for the future
- can16358p 1y agoDoes anyone know why o1-pro is more expensive than o3-pro?
- infecto 1y agoThat’s been the case for a lot of the models. As they release new models those models often include optimizations that bring runtime costs down. I don’t have the data to back it up but it’s felt like chip cycles. There is a new model that is better but more expensive. Then further iterations on that model being costs down.
- pierre 1y agoMain 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.
- BonoboIO 1y agoOn 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. Can you elaborate this? I don’t quite understand the difference.
- rsanek 1y agoI hadn't heard of this before either and can't find anything to support it on the pricing page. https://ai.google.dev/gemini-api/docs/tokens https://ai.google.dev/gemini-api/docs/tokens
- alexellman 1y agoyeah I am going to add an experiment that runs everyday and the cost of that will be a column on the table. It will be something like summarize this article in 200 words and every model gets the same prompt + article
- bigiain 1y agoFor me, and I suspect a lot of other HN readers, a comparison/benchmark on a coding task would be more useful. Something small enough that you can affordably run it every day across a reasonable range of coding focused models, but non trivial enough to be representative of day to day AI assisted coding. One other idea - for people spending $20 or $200/month for AI coding tools, a monitoring service that tracks and alerts on detected pricing changes could be something worth paying for. I'd definitely subscribe at $5/month for something like that, and I'd consider paying more, possibly even talking work into paying $20 or $30 per month.
- aaronharnly 1y agoCan 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.
- alexellman 1y agoYeah I am planning on setting up automatic scraping and just having my own database. Maybe could add historical data beyond as well but just gonna save all my own data for now
- DrJid 1y agoThis is actually really awesome To see. Opened my eyes a bit. Ignore the haters.
- peterspath 1y agoI am missing Grok
- alexellman 1y agoadded
- kb_geek 1y agoNice! 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 1y agoThere 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.
- StratusBen 1y agoThe http://ec2instances.info/ http://ec2instances.info/ of the LLM era ;)
- lucasoshiro 1y ago"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 1y agoLove 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.
- alexellman 1y agoYeah want to keep it really simple. Appreciate it!
- l5870uoo9y 1y agoIt appears that GPT-4.1 is missing, but nano and mini are there.
- jalopy 1y agoSuper 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?
- CharlesW 1y agoSite is down as I type this, but a shout-out to Simon Willison's LLM pricing calculator: https://www.llm-prices.com/ https://www.llm-prices.com/
- criddell 1y agoIf 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?
- cogman10 1y agoThis is where you'd start for local: https://ollama.com/ https://ollama.com/ You can, almost, convert the number of nodes to gb of memory needed. For example, Deepseek-r1:7b needs about 7gb of memory to run locally. Context window matters, the more context you need, the more memory you'll need. If you are looking for AI devices at $2500, you'll probably want something like this [1]. A unified memory architecture (which will mean LPDDR5) will give you the most memory for the least amount of money to play with AI models. [1] https://frame.work/products/desktop-diy-amd-aimax300/configuration/new https://frame.work/products/desktop-diy-amd-aimax300/configu...
- mark_l_watson 1y agoI bought a Mac Mini M2Pro 32G 18 months ago for $1900. It is sufficient to run good up to and including 40B local models that are quantized. When local models don’t cut it, I like Gemini 2.5 flash/pro and gemini-cli. There are a lot of good options for commercial APIs and for running local models. I suggest choosing a good local and a good commercial API, and spend more time building things than frequently trying to evaluate all the options.
- deleted 1y ago[deleted]
- criddell 1y agoAre there any particular sources you found helpful to get started? It's been a while since I checked out Mini prices. Today, $2400 buys an M4 Pro with all the cores, 64GB RAM, and 1TB storage. That's pleasantly surprising...
- 1y ago
- NitpickLawyer 1y ago> 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.
- danenania 1y agoOpenRouter also has an endpoint for listing models (with pricing info) in its api: https://openrouter.ai/docs/overview/models https://openrouter.ai/docs/overview/models A limitation though, at least the last time I checked, is that you only get a single provider returned per model. That’s fine for the major commercial models that all have the same pricing on each provider, but makes it hard to rely on for open source models, which tend to have many providers offering them at different price points (sometimes very different price points—like 5x or 10x difference).
- awongh 1y agoThis 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 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!
- alexellman 1y agowould a column for "provider" meaning the place you are actually making the call to solve this
- svachalek 1y agoPlease not benchmark ranking. We've encouraged this nonsense far too long already.
- zeroCalories 1y agoI think it would be very hard to make a fair comparison. Best you could do is probably make the trade-offs clear and let people make their own choices. I think it could be cool to make something like a token exchange where people put up their requirements, and then companies offer competing services that fit those requirements. Would be cool to let random people offer to their compute, but you would need to find a way to handle people lying about their capabilities or stealing data.
- numlocked 1y ago(I work at OpenRouter) We have a simple model comparison tool that is not-at-all-obvious to find on the website, but hopefully can help somewhat. E.g. https://openrouter.ai/compare/qwen/qwen3-coder/moonshotai/kimi-k2 https://openrouter.ai/compare/qwen/qwen3-coder/moonshotai/ki...
- BartjeD 1y agoMistral is missing
- sshah_24 1y agocan 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.
- ashwindharne 1y agoKV caching is priced and managed quite differently between providers as well. Seeing as it becomes a huge chunk of the actual tokens used, wondering if there's an easy way to compare across providers.
- eugene3306 1y agowhat's point of comparing token prices? especially for thinking models. Just now I was testing the new Qwen3-thinking model. I've run the same prompt five times. The costs I got, sorted: 0.0143, 0.0288, 0.0321, 0.0389, 0.048 . And this is for single model. Also, in my experience, sonnet-4 is cheaper than gemini-2.5-pro, despite token costs being higher.
- eugene3306 1y agoI think the proper way of estimating the cost is the cost of entire run of a test. Like in aider's leaderboard.
- alienbaby 1y agoI'd like to be able to compare prices to determine things like; Should I use copilot pro in agent mode with sonnet 4, or is it cheaper to use claude with sonnet 4 directly?
- deleted 1y ago[deleted]
- dgrin91 1y agoCool site. Would be interesting to add a time dimension to track prices over time
- sophia01 1y agoBut the data is... wrong? Google Gemini 2.5 Flash-Lite costs $0.10/mtok input [1] but is shown here as $0.40/mtok? [1] https://ai.google.dev/gemini-api/docs/pricing#gemini-2.5-flash-lite https://ai.google.dev/gemini-api/docs/pricing#gemini-2.5-fla...
- alexellman 1y agothe data is not wrong you are reading my table wrong edit: my bad I was wrong shouldnt have responded like this
- GaggiX 1y agoThe input is wrong tho Your website reports 0.30$ for input and that wouldn't make any sense as it would be priced the same as the bigger Flash model.
- alexellman 1y agook yeah fixed that one, sorry...
- Imustaskforhelp 1y agosuch level of condescending behaviour when you yourself are wrong is not allowed. Put a really really bad taste in my mouth.
- gompertz 1y agoFirst poster could have approach better too. Like "Cool site! I think I may see an error on one item?". Instead of going right to a 'wrong' angle as if all the data should be discredited. I get highly triggered by this too.
- arccy 1y agothis overly positive attitude triggers a bunch of people too. wrong data should just be called out, especially if that's your main selling point.
- deleted 1y ago[deleted]
- binarymax 1y agoDoes anyone have an API that maintains a list of all model versions for a provider? I hand-update OpenAI into a JSON file that I use for cost reporting in my apps (and in an npm package called llm-primitives). Here's the current version: const pricesPerMillion = { "o1-2024-12-17": { input: 15.00, output: 60.00 }, "o1-mini-2024-09-12": { input: 1.10, output: 4.40 }, "o3-mini-2025-01-31": { input: 1.10, output: 4.40 }, "gpt-4.5-preview-2025-02-27": { input: 75.00, output: 150.00 }, "gpt-4o": { input: 5.00, output: 15.00 }, "gpt-4o-2024-08-06": { input: 2.50, output: 10.00 }, "gpt-4o-2024-05-13": { input: 5.00, output: 15.00 }, "gpt-4o-mini": { input: 0.15, output: 0.60 }, "gpt-4o-mini-2024-07-18": { input: 0.15, output: 0.60 }, "gpt-4-0613": { input: 30.00, output: 60.00 }, "gpt-4-turbo-2024-04-09": { input: 10.00, output: 30.00 }, "gpt-3.5-turbo": { input: 0.003, output: 0.006 }, "gpt-4.1": { input: 2.00, output: 8.00 }, "gpt-4.1-2025-04-14": { input: 2.00, output: 8.00 }, "gpt-4.1-mini": { input: 0.40, output: 1.60 }, "gpt-4.1-mini-2025-04-14": { input: 0.40, output: 1.60 }, "gpt-4.1-nano": { input: 0.10, output: 0.40 }, "gpt-4.1-nano-2025-04-14": { input: 0.10, output: 0.40 }, "gpt-4o-audio-preview-2024-12-17": { input: 2.50, output: 10.00 }, "gpt-4o-realtime-preview-2024-12-17": { input: 5.00, output: 20.00 }, "gpt-4o-mini-audio-preview-2024-12-17": { input: 0.15, output: 0.60 }, "gpt-4o-mini-realtime-preview-2024-12-17": { input: 0.60, output: 2.40 }, "o1-pro-2025-03-19": { input: 150.00, output: 600.00 }, "o3-pro-2025-06-10": { input: 20.00, output: 80.00 }, "o3-2025-04-16": { input: 2.00, output: 8.00 }, "o4-mini-2025-04-16": { input: 1.10, output: 4.40 }, "codex-mini-latest": { input: 1.50, output: 6.00 }, "gpt-4o-mini-search-preview-2025-03-11": { input: 0.15, output: 0.60 }, "gpt-4o-search-preview-2025-03-11": { input: 2.50, output: 10.00 }, "computer-use-preview-2025-03-11": { input: 3.00, output: 12.00 } }; I would love to replace this with an API call.
- urbandw311er 1y agoCheck out the source code to the vercel AI SDK. I’ve noticed that they broker calls out to various LLMs and then seem to return the cost as part of the response. So I’m thinking that this data could well be in there somewhere. Away from my desk right now so can’t check.
- Fanofilm 1y agoThey should add grok. I use grok.
- alexellman 1y agoI just added grok
- iambateman 1y agoThis is cool! Two requests: - Filter by model "power" or price class. I want compare the mini models, the medium models, etc. - I'd like to see a "blended" cost which does 80% input + 20% output, so I can quickly compare the overall cost. Great work on this!
- alexellman 1y agothanks for the feedback!
- amelius 1y agoOk, that's price per token, but tells me nothing about the IQ of the models.
- Fripplebubby 1y agoMaybe I am blinded by my own use case, but I find the caching pricing and strategy (since different providers use a different implementation of caching as well as different pricing) to be a major factor rather than just the "raw" per token cost, and that is missing here, as well as on the Simon Willison site [1]. Do most people just not care / not use caching that much that it matters? [1] https://llm-prices.com/ https://llm-prices.com/
- MattSayar 1y agoI know at least a couple LLM providers will do some caching for you automatically now, which muddies the waters a bit. [0] [0] https://developers.googleblog.com/en/gemini-2-5-models-now-support-implicit-caching/ https://developers.googleblog.com/en/gemini-2-5-models-now-s...
- paradite 1y agoIt's actually more complex than just input and output tokens, there are more pricing rules by various providers: - Off-peak pricing by DeepSeek - Batch pricing by OpenAI and Anthropic - Context window differentiated pricing by Google and Grok - Thinking vs non-thinking token pricing by Qwen - Input token tiered pricing by Qwen coder I originally posted here: https://x.com/paradite_/status/1947932450212221427 https://x.com/paradite_/status/1947932450212221427
- james2doyle 1y agoNice. I think I prefer https://models.dev/ https://models.dev/ as it seems more complete
- manishsharan 1y agoIs there a reason why you have not added DeepSeek and Qwen and Meta ? You should also aggregate prices from Vertex and AWS Bedrock .
- jimbo808 1y agoAre we really at a point already where we're treating tokens as a commodity? I certainly would not consider a token generated by Claude or Gemini to be of similar value to a token by Copilot, for example.
- nikvdp 1y agothere's also http://llmprices.dev http://llmprices.dev. similar, but with a searchbox for quick filtering
- antimatter15 1y agoThe `ccusage` npm package pulls prices and other information from LiteLLM which has a lot of diferent models: https://raw.githubusercontent.com/BerriAI/litellm/main/model_prices_and_context_window.json https://raw.githubusercontent.com/BerriAI/litellm/main/model...
- fronty 1y agoWe are working on a similar problem, https://apiraces.com https://apiraces.com, to personalize the cost calculation of your llm api use case, We have uploaded mostly the openrouter api models, but trying to do it in a useful way to personalize calculation and comparison. If someone would like to test or have a demo, we will be glad for any feedback.
- techbuilder4242 1y agoCool!
- forrestthewoods 1y agoNeat. Would love to see this plotted on a Pareto curve to show quality of said tokens.
- intellectronica 1y agoShould read "Up to date prices for Closed American LLM APIs"
- julianozen 1y agoKeeping this up to date would be a good use for an agent. Companies might even pay for something like this
- croes 1y agoOr a page scraper
- numlocked 1y ago(I work at OpenRouter) We have solved this problem by working with the providers to implement a prices and models API that we scrape, which is how we keep our marketplace up to date. It's been a journey; a year ago it was all happening through conversations in shared Slack channels! The pricing landscape has become more complex as providers have introduced e.g. different prices for tokens depending on prompt length, caching, etc. I do believe the right lens on this is actually the price per token by endpoint, not by model; there are fast/slow versions, thinking/non-thinking, etc. that can sometimes also vary by price. The point of this comment is not to self promote, but we have put a huge amount of work into figuring all of this out, and have it all publicly available on OpenRouter (admittedly not in such a compact, pricing-focused format though!)
- tekacs 1y agoI tried making it compact and easy just now! Thanks so much for the effort! https://github.com/tekacs/llm-pricing https://github.com/tekacs/llm-pricing
- overwatch34 1y ago[dead]
- osigurdson 1y agoBy endpoint, do you mean price by token by API shape? Perhaps my phrasing is even more confusing but that is how I see it. I.e. there are API "shapes" for which as long as the shape of the API is the same, my application can use it interchangeably with others. Other dimensions are quality, speed, acceptable error rates, etc., which naturally influence pricing.
- sureglymop 1y agoHey! I am currently very close to having blown through the yearly token budget of my Kagi subscription, which I used mainly for Kagi Assistant. Does OpenRouter offer a similar way to select any model in a user friendly way? Meaning, can I add some budget, hook it up to a desktop application and then just have a convenient selection of models that I can start using? And also, which model would you use to not break the bank? Currently I am mostly using Gemini 2.5 Pro but perhaps there is already a cheaper and better option.
- OutOfHere 1y agoIt doesn't even list the price for GPT-4.1 (full model). This means it's not thorough and it doesn't try. What an immediate disappointment.
- generalizations 1y agoThis is awesome! I wonder how possible it is to incorporate benchmarks - maybe as a filter? Since not all tokens are as useful as others. Heh.
- tekacs 1y agoI've run into this a ton of times and these websites all kinda suck. Someone mentioned the OpenRouter /models endpoint in a sibling comment here, so I quickly threw this together just now. Please feel free to PR! https://github.com/tekacs/llm-pricing https://github.com/tekacs/llm-pricing llm-pricing Model | Input | Output | Cache Read | Cache Write ------------------------------------------+-------+--------+------------+------------ anthropic/claude-opus-4 | 15.00 | 75.00 | 1.50 | 18.75 anthropic/claude-sonnet-4 | 3.00 | 15.00 | 0.30 | 3.75 google/gemini-2.5-pro | 1.25 | 10.00 | N/A | N/A x-ai/grok-4 | 3.00 | 15.00 | 0.75 | N/A openai/gpt-4o | 2.50 | 10.00 | N/A | N/A ... --- llm-pricing calc 10000 200 -c 9500 opus-4 4.1 Cost calculation: 10000 input + 200 output (9500 cached, 5m TTL) Model | Input | Output | Cache Read | Cache Write | Total ---------------------------+-----------+-----------+------------+-------------+---------- anthropic/claude-opus-4 | $0.007500 | $0.015000 | $0.014250 | $0.178125 | $0.214875 openai/gpt-4.1 | $0.001000 | $0.001600 | $0.004750 | $0.000000 | $0.007350 openai/gpt-4.1-mini | $0.000200 | $0.000320 | $0.000950 | $0.000000 | $0.001470 openai/gpt-4.1-nano | $0.000050 | $0.000080 | $0.000237 | $0.000000 | $0.000367 thudm/glm-4.1v-9b-thinking | $0.000018 | $0.000028 | $0.000333 | $0.000000 | $0.000378 --- llm-pricing opus-4 -v === ANTHROPIC === Model: anthropic/claude-opus-4 Name: Anthropic: Claude Opus 4 Description: Claude Opus 4 is benchmarked as the world's best coding model, at time of release, bringing sustained performance on complex, long-running tasks and agent workflows. It sets new benchmarks in software engineering, achieving leading results on SWE-bench (72.5%) and Terminal-bench (43.2%). Pricing: Input: $15.00 per 1M tokens Output: $75.00 per 1M tokens Cache Read: $1.50 per 1M tokens Cache Write: $18.75 per 1M tokens Per Request: $0 Image: $0.024 Context Length: 200000 tokens Modality: text+image->text Tokenizer: Claude Max Completion Tokens: 32000 Moderated: true
- tekacs 1y agoCache pricing tweaked & fixed since the above.
- umittal10 1y ago[dead]
- krashidov 1y agoWhere is Claude 3.5 Sonnet? Arguably the best model still lol
- ssalka 1y agoI'd love to see this data joined with common benchmarks, in order to see which models get you the most "bang for your buck", i.e. benchmark score / token cost
- cchance 1y agoSeems odd to not have r1, qwen etc, groq, etc
- ailabtools 1y ago[dead]
- d4rkp4ttern 1y agoThere’s also this: https://models.dev/ https://models.dev/
- ieuanking 1y agomy friend and I built something similar https://app.ubik.studio/all-models https://app.ubik.studio/all-models