Fireworks AI

“Reputable hosting providers, e.g. Fireworks, Cloudflare, Baseten, whatever absolutely _do_ have a reputation to lose.”

“just use US companies like Fireworks.ai or Ollama Cloud for more privacy”

“screwed up the onboarding, charged me money (when the account was supposed to be gratis)”

“Use the model through a fast and reliable provider such as Fireworks directly”

“Last I checked they still offer no training ZDR US based hosting.”

“Just read the terms of service and read this blog post and I think your concern will be addressed.”

“the cache rates for GLM 5.3 flash are quite a bit more expensive than for DeepSeek”

“it's also easy to hook the models up to e.g. codex which allows for fairly clean comparisons”

“Fireworks can be great, but it depends on the model and on the day.”

“Fireworks has high variance amongst models and while some are served correctly; many of them are junk / broken and degraded”

“Fireworks hosts the available models themselves which probably solves the problem”

“For truly production use cases, use Novita, Fireworks, Toghether or something of the sort.”

“My only gripe is their serverless offering for reranking has only 1 model which is Qwen 8b and it's quite expensive.”

“together.ai, fireworks.ai have tons of deals that focus very much on data confidentiality.”

“it is probably easier to use APIs from FireWorks.ai, Ollama Cloud, Open Router, etc.”

“no matter how much I use this service my monthly bill is between $10 and $40”

“I’ve mostly settled on using a mixture of open weights models through Together.ai and Fireworks.ai”

“You can run them on the Together AIs or Firework AIs of this world.”

“I've been rugpulled multiple times on their Fire Pass subscription”

“Fireworks and OpenCode both have excellent open model offerings”

“try Fireworks AI or DeepInfra who do support more recent models”

“these zdr providers dont transparently disclose caching/tokens etc and so they end up being far more expensive than directly using DS”

“Fireworks is a great provider but we still ran into issues here and there”

“I've used GLM-5.2 a lot on fireworks and had never ever issues on rate limits.”

“I felt better about Fireworks leadership after hearing some of them more candidly on podcasts”

“serving up the best open weight models with the compliances we need in US enterprise”

“subscription-based which is nicer for coding than e.g. Fireworks which is per-token billing”

“Jeremy Howard was recommending fireworks.ai as a host of you want to go direct”

“You can pay for GLM 5.2 inference right now via Fireworks AI and presumably several dozen other providers.”

“Fireworks is one of the companies serving open models with solid performance and compliance/zero data retention sorted out.”

“offer a wide range of models like gpt oss that are very capable and far cheaper than the models from big 3.”

“use Fireworks and have the choice to use cheaper open models”

“They are incredibly price competitive, have strict data retention policies, and in general are quite fast.”

“based in California and would face the same consequences for lying about their data policy”

“Fireworks has a pretty generous 'Pass' that comes out to about $7 a week”

“Yep, I have it running multiple OpenClaw instances all day. No issues.”

“the only models supporting LORA are like year old dense models that perform horribly on most tasks”

“Even the providers like fireworks which claim to let you deploy LORAs in a scalable way can't do it.”

“Plenty of other providers that offer much faster inference on GLM-5.1.”

“Fireworks supports this model serverless for $1.20 per million tokens.”