Agents Pricing Comparison

The right provider depends on workload type, latency requirements, and budget. Most providers use pay-per-token pricing for LLMs and per-second GPU billing for custom models. Token-based pricing varies by model, so the cheapest provider for one model may not be cheapest for another.

Free tiers are useful for prototyping but often come with rate limits. For production, compare per-token costs for your specific model, cold start latency, rate limits, and whether the provider supports the models you need.

Teams with data residency requirements should check hosting options and provider headquarters. European providers like Dust, Langdock, n8n keep data within EU jurisdiction. See the full European AI Infrastructure directory. Self-hostable options like AgentOps and CrewAI give full control over data location.

For a deeper analysis, read AI Inference API Providers Compared on the blog. Pricing changes frequently, so verify current rates on each provider's website. Submit a correction.