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Oxlo.ai – AI APIs with unlimited tokens and request based pricing

Oxlo.ai – AI APIs with unlimited tokens and request based pricing

by Barathkanna·Feb 23, 2026·1 point·1 comment

AI Analysis

MidShip It

Unlimited tokens per request, but request-based pricing still competes with Together, Baseten, and cheaper token models.

Strengths
  • Request-based billing removes token-counting friction and makes costs predictable at scale
  • Unified API across diverse open models (text, vision, speech, embeddings) reduces integration overhead
  • Fallback routing and hybrid approach allows gradual migration from established providers
Weaknesses
  • Still pre-launch (<3k users), unclear product-market fit vs. established inference platforms
  • No evidence of performance, reliability, or latency claims vs. competitors like Together AI or Replicate
Target Audience

Small teams and developers building AI features who want predictable costs and model diversity without token-based billing

Similar To

Together AI · Replicate · Baseten

Post Description

Hi HN,

I’m one of the founders of Oxlo.ai. We’re building a developer first AI API platform focused on simplifying how small teams integrate AI into production.

Most AI APIs charge per token, which can make costs unpredictable as usage grows. Oxlo.ai takes a different approach: request based pricing with unlimited token output per request.

We provide unified API access to curated open models across: • Text generation • Coding • Embeddings • Image generation • Audio & speech • Computer vision

The goal isn’t to replace large API providers. If you’re already using a major API in production, Oxlo.ai can act as a complementary layer.

For example, teams can: • Route simpler or lower-priority workloads to Oxlo.ai under predictable pricing • Keep higher-complexity or overflow workloads with their existing provider • Implement fallback routing when one endpoint is busy

This hybrid approach can improve cost control while maintaining production reliability.

We’re still early (<3k users) and actively looking for feedback, especially from teams running AI features in production.

Happy to answer questions.

— Barath Kanna - Founder, Oxlo.ai

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