TokenGO
Fireworks AI
novita.ai
GMI Cloud
DeepSeek Platform
HeyToken.ai
Minimax Platform
Mistral Forge
PixelAPI.dev
Replicate.com
Stability
DeepAI
Ruxa.ai
remove.bg for Photoshop
TokenGO PixelAPI.devTokenGO's answer
We started as a decentralised cloud company, so we were able to conduct traffic analysis on our datacenter partners, which let us find and sign repeatable, patterned idle GPU time windows for a discount. Our vision is to build token supply into an "intelligence grid", much like an electricity grid.
TokenGO's answer
Because of our supply economics, the retail prices of our models are lower than the cheapest providers on OpenRouter across the board. Further, since the supply is signed from enterprise datacenters, there is no quality sacrifice.
TokenGO's answer
We leverage relationships with datacenter partners and traffic analysis to provide tokens running on idle GPU time. This means the token prices have lower marginal cost, and we can pass savings onto our customers. We have some of the most cost competitive token prices anywhere online.
TokenGO's answer
We have some B2C customers, and have onboarded around 5 enterprise customers so far. Not shareable under NDA.
TokenGO's answer
Any dev team or product with considerable token spend and are willing to use open-weight models.
TokenGO's answer
We have optimisations across the entire inference stack, from operator to routing to inference. For example, some of our optimisations were developed for frontier labs and are running on official endpoints right now. Compare to the models you can find on hugging face, we can often optimise them to an improvement in token output by up to 30%
Based on our record, PixelAPI.dev seems to be more popular. It has been mentiond 4 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
Import httpx Import os PIXELAPI_KEY = os.environ["PIXELAPI_KEY"] Def color_grade(image_url: str, style: str) -> str: response = httpx.post( "https://pixelapi.dev/api/color-grade", headers={"Authorization": f"Bearer {PIXELAPI_KEY}"}, json={ "image_url": image_url, "style": style, }, timeout=30, ) response.raise_for_status() return... - Source: dev.to / 3 months ago
I shipped PixelAPI's /v1/pattern endpoint yesterday โ 8 styles, 512px or 1024px output, recolor + upscale ops, fully seamless tileable. At $0.008/pattern, it's 2-5ร cheaper than PatternedAI's GUI sessions. - Source: dev.to / 4 months ago
Import fs from "fs"; Import path from "path"; Import fetch from "node-fetch"; Import FormData from "form-data"; Async function addShadow(imagePath) { const form = new FormData(); form.append("image", fs.createReadStream(imagePath)); const response = await fetch("https://pixelapi.dev/api/shadow-generator", { method: "POST", headers: { Authorization: `Bearer ${process.env.PIXELAPI_KEY}`, ... - Source: dev.to / 4 months ago
Free credits at pixelapi.dev โ no card needed. Run your hardest test images through it. - Source: dev.to / 4 months ago
Fireworks AI - Use state-of-the-art, open-source LLMs and image models at blazing fast speed, or fine-tune and deploy your own at no additional cost with Fireworks AI!
Replicate.com - Run open-source machine learning models with a cloud API
novita.ai - novita.ai, hundreds of fast and cheap AI image generation APIs for 1000+ models, Fastest generation in just 2s, Pay-As-You-Go, $0.0015 for each standard image. You can add your own models and avoid GPU maintenance.
Stability - Activating humanity's potential through generative AI. Open models in every modality, for everyone, everywhere.
GMI Cloud - Deploy and scale GPU clusters instantly
DeepAI - Easily build the power of AI into your applications