The cheap, fast tier
High volume, low price, serious speed. The discount-warehouse of AI inference — the models run cheap and fast, in exchange for you knowing exactly what you're doing.
Inference for the volume crowd
A newer crop of providers serves open and frontier models at low per-token prices, optimized for speed and throughput. For a cost-sensitive application doing thousands of calls, this is where the savings live.
The trade: you give up the polished wrapper and often some of the reliability guarantees of the big platforms.
Right for you if…
- You're doing high volume — the savings only show at scale.
- You have a developer who can handle variability in latency and occasional hiccups.
- Cost-per-task matters more than a name brand.
Not for you if you need predictable performance or a support line — this is the most DIY of the cloud tiers.
Cheap per token, real engineering cost
The per-token price is genuinely low — often the cheapest way to run AI at scale. But the total cost includes the engineering time to build around the tier's quirks. Don't compare sticker rates in isolation.
The most variable of the cloud tiers
These providers can see latency swings and more frequent hiccups than the big platforms. Budget for it in your design — retries, caching, graceful fallback. It's not unreliable, but it's not turnkey.
Who plays here
- Groq — famously fast inference, low prices.
- Together — broad open-model lineup at low cost.
- Fireworks — high-throughput serving for builders.
