November 5, 2026
|
5 min read
Precificação de Agentes de Codificação por IA: Como Escolher o Plano Certo
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Built for Speed: ~10ms Latency, Even Under Load
Blazingly fast way to build, track and deploy your models!
- Handles 350+ RPS on just 1 vCPU — no tuning needed
- Production-ready with full enterprise support
TrueFoundry AI Gateway delivers ~3–4 ms latency, handles 350+ RPS on 1 vCPU, scales horizontally with ease, and is production-ready, while LiteLLM suffers from high latency, struggles beyond moderate RPS, lacks built-in scaling, and is best for light or prototype workloads.
Built for Speed: ~10ms Latency, Even Under Load
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Frequently asked questions
How much does an AI coding agent cost?
Published prices start around $10–20 per seat per month, but the real cost depends on the billing model and usage. Flat per-seat plans stay fixed; credit and pay-per-token plans scale with how heavily developers use the agent and which models they pick. Two teams on the same plan can see very different invoices.
What's the difference between per-seat, credit, and pay-per-token pricing?
Per-seat is a fixed monthly fee per developer (predictable, may overpay for light users). Seat-plus-credits adds a metered pool on top of a lower base fee (Copilot's model). Pay-per-token bills purely on API consumption with no seat fee (cheapest for light use, most expensive under sustained agent workloads).
Why is my AI coding agent bill higher than the per-seat price?
Usage-based overages. On credit and API plans, heavy agent workflows and premium model selection burn cost fast. A frontier model can consume credits several times faster than a standard one on the same task. Model choice is a cost lever the pricing page rarely explains.
How do teams control AI model spend across coding agents and other LLM workloads?
Route model traffic through an AI gateway. Set default models. Gate premium-model access. Expose per-team spend. TrueFoundry's AI Gateway gives engineering leads usage and cost visibility across 1,000+ LLMs behind one OpenAI-compatible API, so model choices don't pile into billing surprises.
