Fireworks AI

Fireworks AI is a hosting service for open-source and openly licensed AI models, such as Qwen and DeepSeek, served through an API so customers do not manage GPU servers. Developers call the serverless endpoint and pay per token for everyday use, which suits apps with unpredictable traffic. For steadier, higher-volume workloads, it offers on-demand deployments billed per second of GPU time, which can lower cost per request at scale. It also supports fine-tuning open models on a company's own data. Access is by API key, and per-model pricing is published on its website with no sales call for standard use. Enterprise customers get faster response times, higher rate limits, and lower per-token costs on request.

This fits an application that needs an open-source model served quickly and cheaply, especially when traffic is high enough that a per-second GPU rate beats a flat per-token price. A good first step is a pilot on the serverless, pay-per-token tier to confirm quality and latency, moving to on-demand GPU deployment only once volume justifies it. As a planning figure, serverless pricing for smaller open models can run under a dollar per million tokens, and dedicated GPU instances several dollars per hour depending on the chip. Fireworks is a smaller company than the major cloud providers, so weigh that against your vendor-risk tolerance, and check whether it publishes the compliance certifications your industry requires, like SOC 2, since that detail was not on its public pricing page at review time.