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Show HN: Countless.dev – A website to compare every AI model: LLMs, TTSs, STTs
- xnx 2y agoNice resource. Almost too comprehensive for someone who doesn't know all the sub-version names. Would be great to have a column of the score from lmarena leaderboard. Some prices are 0.00? Is there a page that each row could link to for more detail?
- ahmetd 2y agothank you! some models either have N/A or 0.00, I found it is like that for the free models and ones that aren't available. As per llmarena I'll definitely add it, a lot of other people recommended it as well. over time will make the website more descriptive and detailed!
- kmoser 2y agoAnd a link to the company page where one can use/subscribe to the model
- mtkd 2y agoWould poss be further useful to have a release date column, license type, whether EU restricted and also right-align / comma-delimit those numeric cells
- ahmetd 2y agogood idea, will look into adding this!
- mcklaw 2y agoIt would be great if llmarena leadership information would also appear to compare performance vs cost.
- numberless 2y agoWould be great if it was possible to get to the page where the pricing was found to make it easier to use the model
- ursaguild 2y agoI like the idea of more comparisons of models. Are there plans to add independent analyses of these models or is it only an aggregation of input limits? How do you see this differing from or adding to other analyses such as: https://artificialanalysis.ai https://artificialanalysis.ai https://huggingface.co/spaces/TTS-AGI/TTS-Arena https://huggingface.co/spaces/TTS-AGI/TTS-Arena https://huggingface.co/spaces/hf-audio/open_asr_leaderboard https://huggingface.co/spaces/hf-audio/open_asr_leaderboard https://huggingface.co/spaces/TIGER-Lab/GenAI-Arena https://huggingface.co/spaces/TIGER-Lab/GenAI-Arena Great work on all the aggregation. The website is nice to navigate.
- ahmetd 2y agothe gradio ui looks ugly imo, that's why I used shadcn and next.js to make the website look good. I'll try to make it as user-friendly as possible. Most of the websites are ugly + too technical.
- refulgentis 2y agoI want to point out you dodged the data question, and there's a reason for it. I like your work visually on first glance, god knows you're right about gradio, even if its irrelevant. But peddling extremely limited, out of date, versions of other people's data, trumps that, especially with this tagline. "A website to compare every AI model: LLMs, TTSs, STTs" It is a handful of LLMs, then one TTS model, then one STT model, both with 0 data. And it's worth pointing out, since this endeavor is motivated by design trumping all: all the columns are for LLM data.
- botro 2y agoI made https://aimodelreview.com/ https://aimodelreview.com/ to compare the outputs of LLMs over a variety of prompts and categories, allowing a side by side comparison between them. I ran each prompt 4 times for different temperature values and that's available as a toggle. I was going to add reviews on each model but ran out of steam. Some users have messaged me saying the comparisons are still helpful to them in getting a sense of how different models respond to the same prompt and how temperature affects the same models output on the same prompt.
- ursaguild 2y agoJust saw that this was built for a hackathon. Huge kudos and congratulations!
- ahmetd 2y agothank you! although I wasn't able to win the hackathon it was still a fun experience :)
- politelemon 2y agoThere are only two audio transcription models. Is this generally true, are there no open source ones like llama but for transcribing? Or just small dataset on that site
- rhdunn 2y agoIt looks like the site is only listing hosted models from major providers, not all models available on huggingface, civit.ai, etc. -- Looking at the image generation and chat lists there are many more models that are on huggingface that are not listed. See https://huggingface.co/models?pipeline_tag=automatic-speech-recognition&sort=trending https://huggingface.co/models?pipeline_tag=automatic-speech-... Note: Text to Speech and Audio Transcription/Automatic Speech Recognition models can be trained on the same data. They currently require training separately as the models are structured differently. One of the challenges is training time as the data can run into the hundreds of hours of audio.
- politelemon 2y agoThank you both
- woodson 2y agoThere are lots and lots of models, covering various use cases (e.g., on device, streaming/low-latency, specific languages). People somehow think OpenAI invented audio transcription with whisper in 2022 when other models exist and have been used in production for decades (whisper is the only one listed on that website).
- wslh 2y agoI'd like to share a personal perspective/rant on AI that might resonate with others: like many, I'm incredibly excited about this AI moment. The urge to dive headfirst into the field and contribute is natural after all, it's the frontier of innovation right now. But I think this moment mirrors financial markets during times of frenzy. When markets are volatile, one common piece of advice is to “wait and see”. Similarly, in AI, so many brilliant minds and organizations are racing to create groundbreaking innovations. Often, what you're envisioning as your next big project might already be happening, or will soon be, somewhere else in the world. Adopting a “wait and see” strategy could be surprisingly effective. Instead of rushing in, let the dust settle, observe trends, and focus on leveraging what emerges. In a way, the entire AI ecosystem is working for you: building the foundations for your next big idea. That said, this doesn't mean you can't integrate the state of the art into your own (working) products and services.
- whiplash451 2y agoYour proposal makes a lot of sense. I assume a number of companies are integrating sota models into their products. That being said, there is no free lunch: when you're doing this, you're more reactive than proactive. You minimize risk, but you also lose any change to have a stake [1] in the few survivors that will remain and be extremely valuable. Do this long enough and you'll have no idea what people are talking about in the field. Watch the latest Dwarkesh Patel episode to get a sense of what I am talking about. [1] stake to be understood broadly as: shares in a company, knowledge as an AI researcher, etc.
- wslh 2y agoThank you for your thoughtful response! I completely agree that there's a tradeoff between being proactive and reactive in this kind of strategy: minimizing risk by waiting can mean missing out on opportunities to gain a broader "stake". That said, my perspective focuses more on strategic timing rather than complete passivity. It's about being engaged with understanding trends, staying informed, and preparing to act decisively when the right opportunity emerges. It's less about "waiting on the sidelines" and more about deliberate pacing, recognizing that it’s not always necessary to be at the bleeding edge to create value. I'll definitely check out Dwarkesh Patel’s latest episode. I assume it is the Gwern one, right? Thanks!
- dangoodmanUT 2y agoThis is missing... so many models... like most TTS and STT ones. 11labs, deepgram, etc.
- shahzaibmushtaq 2y agoIt's weird that OpenAI has lower prices for same models and Azure has higher prices. Anyone can explain? BTW impressive idea and upvoted on PH as well.
- ahmetd 2y agotysm for the support! OpenAI and Azure should be the same, it's weird that it shows it as different. I'll look into fixing this. currently #2 on PH, any help would be appreciated!
- xrendan 2y agoAzure charges differently based on deployment zone/latency guarantees, OpenAI doesn't let you pick your zone so it's equivalent to the Global Standard deployment (which is the same cost). [0] https://azure.microsoft.com/en-us/pricing/details/cognitive-services/openai-service/ https://azure.microsoft.com/en-us/pricing/details/cognitive-...
- mentalgear 2y agoThis is interesting price-wise, but quality-wise if you do not provide benchmark results, it's not that helpful a comparision.
- methou 2y agoThank you on behalf of my waifu!
- alif_ibrahim 2y agothanks for the comparison table! would be great if the header is sticky so i don't get lost in identifying which column is which.
- karpatic 2y agoGreat! I wish there was a "bang to buck" value. Some way to know the cheapest model I could use for creating structured data from unstructured text, reliably. Using gpt4o-mini which is cheap but wouldn't know if anything cheaper could do the job too.
- jampa 2y agoTake a look at Gemini Flash 1.5. I had videos I needed to turn into structured notes, and the result was satisfactory (even better than the Gemini 1.5 Pro, for some reason). https://jampauchoa.substack.com/i/151329856/ai-studio https://jampauchoa.substack.com/i/151329856/ai-studio. According to this website, the cost is half of the gpt4-o mini. 0.15 vs 0.07 per 1M token.
- nostrebored 2y agoSeconding Gemini flash for structured outputs. Have had some quite large jobs I’ve been happy with.
- mcbuilder 2y agoI always plug openrouter.ai for making cross-model comparisons. It's my general goto for random stuff. (I am not affiliated, just a user)
- pickettd 2y agoI love the idea of openrouter. I hadn't realized until recently though that you don't necessarily know what quantization a certain provider is running. And of course context size can vary widely from provider to provider for the same model. This blog post had great food for thought https://aider.chat/2024/11/21/quantization.html https://aider.chat/2024/11/21/quantization.html
- avereveard 2y agoTo expand a little, some providers may apply more aggressive optimization in periods of high load.
- gtirloni 2y agoTangent question: is there anything better on the desktop than ChatGPT's native client? I find it too simple to organize chats but I'm having a hard time evaluating the dozen or so apps (most are disguise for some company's API service). Any recommendations? macOS/Linux compatibility preferred.
- ralfhn 2y agoThere’s https://www.typingmind.com/ https://www.typingmind.com/ local-only (no server) and built by an indie dev
- thelittleone 2y agoPeesonally im a Typing Mind user but it got too slow and buggy with long cbaglts. Ended up with boltai which is a natice mac app and found it very good after months of heavy use. I think it could also improve navigation coloring or iconography to help distinguish chats better but its my favorite so far.
- rubymamis 2y agoI'm working on a native LLM client that is beautiful and fast[1], developed in Qt C++ and QML - so it can run on Windows, macOS, Linux (and mobile). Would love to get your feedback once it launches. [1] https://rubymamistvalove.com/client.mp4 https://rubymamistvalove.com/client.mp4
- shepherdjerred 2y agoI've liked Machato: https://untimelyunicorn.gumroad.com/l/machato https://untimelyunicorn.gumroad.com/l/machato
- refulgentis 2y agoTelosnex: every platform, native. Also, has web. Anthropic, OpenAI, Mistral, Groq, Gemini, and any local LLM on literally every platform. and you can bring your own API keys, and the best search available. Pay as you go, with everything at cost if you pay $10/month. Otherwise, free. Everythings stored in simple JSON.
- moralestapia 2y agoHey this is great! A small suggestion, a toggle to exclude between "free" and hosted models. Reason is, I'm obv. interested in seeing the cheaper models first but am not interested in self-hosting which dominate the first chunk of results because they're "free".
- vunderba 2y agoOP, were you inspired by this LLM comparison tool? https://whatllm.vercel.app https://whatllm.vercel.app The tables are very similar - though you've added a custom calculator which is a nice touch. Also for the Versus Comparison, it might be nice to have a checkbox that when clicked highlights the superlative fields of each LLM at a glance.
- xnx 2y agoThanks for sharing. That's a better tool.
- andrewmcwatters 2y agoBoth seem to have great value. Some information is missing from Vercel's tables.
- Gcam 2y agoData in this tool is from https://artificialanalysis.ai/ https://artificialanalysis.ai/ on October 13 2024 and so is a little of out date. This page has up to date information of all models and providers: https://artificialanalysis.ai/leaderboards/providers https://artificialanalysis.ai/leaderboards/providers We also on other pages cover Speech to Text, Text to Speech, Text to Image, Text to Video. Note I'm one of the creators of Artificial Analysis.
- amelius 2y agoI'm missing the "IQ" column.
- wiradikusuma 2y agoSuggestions: 1. Maybe explain what Chat Embedding Image generation Completion Audio transcription TTS (Text To Speech) means? 2. Put a running number on the left, or at least just show total?
- Brianna4962598 2y ago[flagged]
- NoZZz 2y agoStop feeding their machine.
- e-clinton 2y agoDeepInfra prices are significantly better than what’s listed for OS models.
- robbiemitchell 2y agoOne helpful addition would be Requests Per Minute (RPM), which varies wildly and is critical for streaming use cases -- especially with Bedrock where the quota is account wide.
- tomp 2y ago"every" you're missing a lot TTS: 11labs, PlayHT, Cartesia, iFLYTEK, AWS Polly, Deepgram Aura STT: Deepgram (multiple models, including Whisper), Gladia Whisper, Soniox just off the top of my head (it's my dayjob!)
- ProofHouse 2y agoThese are hard to keep updated. I find they usually fall off. It would be cool to have one, but honestly, this one already doesn't even have 4o and pro on it which if it was being maintained, it obviously would. Updating a table shouldn't take days. It's like a one minute event.
- ahmetd 2y agothe reason 4o and pro doesn't exist is because they aren't available via API yet! the website is updated, don't worry :)
- SubiculumCode 2y agoI was surprised: what is that the model that costs the most per token? Luminous-Supreme-Control
- ahmetd 2y agosome European safety AI company haha. It's exactly what you would expect from Europe :)
- tonetegeatinst 2y agoLove the UI and table layout. Have you though about showing the different VRAM requirements for models?
- deleted 2y ago[deleted]
- lolinder 2y agoOne thing that stands out playing with the sorting is that Google's Gemini claims to have a context window more than 10x that of most of its competition. Has anyone experimented with this to see if its useful context window is actually anything close to that? In my own experiments with the chat models they seem to lose the plot after about 10 replies unless constantly "refreshed", which is a tiny fraction of the supposed 128000 token input length that 4o has. Does Gemini actually do something dramatically differently, or is their 3 million token context window pure marketing nonsense?
- wtvanhest 2y agoWhat tactics do you use to refresh while using them?
- zoltrix303 2y agoI tend to use a sentence along these lines: "Give me a straightforward summary of what we discussed so far, someone who didn't read the above should understand the details. Don't be too verbose." Then i just continue from there or simply use this as a seed in another fresh chat.
- lolinder 2y agoI don't have a strategy that I like—it just amounts to having to say "you forgot about requirement X, try again keeping that in mind".
- danpalmer 2y agoWhen the released it they specifically focused on the accurate recall across the context window. There are a bunch of demos of things like giving it a whole movie as input (frame every N seconds plus script or something) and asking for highly specific facts). Anecdotally, I use NotebookLM a bit, and while that’s probably RAG plus large contexts (to be clear, this is a guess not based on inside knowledge), it seems very accurate.
- avereveard 2y agohttps://github.com/NVIDIA/RULER https://github.com/NVIDIA/RULER results in benchmark other than needle in haystack seem solid all the way to 128k
- Bigie 2y agoI feel like the number is still a bit lacking, especially since many models made by Chinese companies are not represented, like speech-to-text. As far as I know, there's a volcano engine in China that has impressive text-to-speech capabilities. Many local companies are using this model.
- edwardmacnamra 2y ago[dead]
- 5563221177 2y agoLogs emitted during the build, or test results, or metrics captured during the build (such as how long it took)... these can all themselves be build outputs. I've got one where "deploying" means updating a few version strings and image reverences in a different repo. The "build" clones that repo and makes the changes in the necessary spots and makes a commit. Yes, the side effect I want is that the commit gets pushed--which requires my ssh key which is not a build input--but I sort of prefer doing that bit by hand.
- nikvdp 2y agoyou guys might also like http://llmprices.dev http://llmprices.dev, similar but it's automatically updated with the latest info every 24h
- dfilppi 2y ago[dead]
- victoriawu 2y agoIt’s indeed quite intuitive to see the details of each AI model, but it feels a bit overwhelming with too much information. I wonder if adding a chatbot might be a good idea. Users could ask specific questions based on their needs, and the bot could recommend the most suitable model. Perhaps this would add more value.
- ikishorek 2y agoCan you please consider adding sort options to the cost columns in the Pricing Calculator?