Oxlo.ai
Summary
Per-token billing turns a successful product launch into a finance emergency — one viral week and your inference bill triples with zero warning. Oxlo.ai is built around a flat monthly plan that caps that risk at a known number.
Oxlo.ai is an inference hosting service offering an OpenAI-compatible API across 45+ open-source models, from DeepSeek R1 671B and Kimi K2.6 to Whisper and Kokoro TTS, under a flat-rate paid plan. Zero data retention and no training on your requests are stated guarantees — making it a credible option for teams handling regulated or sensitive data. The flat pricing story is the headline: the vendor's own cost calculator shows per-token competitors pulling ahead at low volume, so the math only tips in Oxlo.ai's favor once your monthly token spend is high enough. No self-hosted option exists, so teams with infrastructure mandates that require on-premises deployment are blocked. Community footprint is thin — no visible case studies or third-party benchmarks beyond what the vendor publishes.
Bottom line: Pick Oxlo.ai when you're running high-volume inference and want a predictable monthly line item with a privacy guarantee baked in; look elsewhere when your volume is low enough that per-token competitors are cheaper, or when your compliance requirements demand on-premises deployment.
Pricing Plans
Flat RateLast verified 1 week ago- Price
- $80/month
- Free Tier
- 60 requests/day, access to 12 plus open source models, no credit card required
Free
For developers getting started with Oxlo.ai
- 60 requests/day
- Access to 12 plus open source models
- Clear usage limits
- No credit card required
Pro
For developers building and shipping AI-powered products
- 1,000 requests/day
- All production-ready models
- 1-day free trial
- Faster request handling
- Access to optimised models for development and prototyping
- Higher throughput for development workloads
Premium
For teams running production workloads
- 5,000 requests/day
- Priority access + beta models
- Priority execution
- Higher and consistent throughput
- All large reasoning models including DeepSeek R1 and Kimi K2
Enterprise
For teams ready to cut their AI infrastructure costs significantly
- Custom usage limits
- Dedicated support
- Tailored deployment options
- 15% guaranteed discount on current AI bill for teams spending up to $20,000/month
View full pricing on oxlo.ai →
Pricing may have changed since last verified. Check the official site for current plans.
Community Performance Report Card
No community ratings yet. Be the first to rate this tool!
Community Benchmarks Community
Sign in to submit a benchmarkNo community benchmarks yet. Be the first to share a real-world data point.
Pros
Sign in to edit- OpenAI-compatible API endpoint, so existing codebases pointing at OpenAI need only a base URL and key change to redirect inference — no SDK rewrite required.
- Flat monthly pricing absorbs token-volume spikes without changing your bill, which means a product going unexpectedly viral does not trigger an emergency finance conversation.
- Stated zero data retention and no training on customer requests, so teams handling regulated or sensitive data have a documented privacy basis to point auditors toward.
- Single API covers text, embeddings, image, audio transcription, TTS, and object detection models, which means one billing relationship and one authentication pattern instead of four separate vendor contracts.
- Kimi K2.6 benchmarks published on the page show competitive scores against GPT-5.4 and Claude Opus 4.6 on coding and agentic tasks, giving teams a credible high-capability model option without routing to proprietary frontier labs.
Cons
Sign in to edit- The flat monthly pricing is only cheaper than per-token competitors once your volume is high — the vendor's own calculator shows Groq, Fireworks AI, and OpenRouter all coming in below the flat rate at 100K input tokens per month. Teams with modest or unpredictable workloads pay a premium for the pricing insurance.
- No self-hosted or VPC deployment option exists. Teams whose security policy or compliance mandate requires that model inference never leave their own infrastructure cannot use this service and will route to providers offering dedicated or on-premises deployment.
- The service is inference-only with no workflow tooling, agent framework, or built-in RAG pipeline. Teams expecting a managed end-to-end stack discover they are responsible for retrieval, memory, and orchestration layers entirely — at which point teams with limited backend capacity evaluate competitors that bundle those layers.
Community Reviews
Sign in to write a reviewNo reviews yet. Be the first to share your experience.
About
- Platforms
- Web, API
- API Available
- Yes
- Self-Hosted
- No
- Last Updated
- 2026-06-25T22:41:07.326Z
Best For
Who it's for
- Developers seeking OpenAI-compatible APIs
- Teams prioritizing fixed monthly costs
- Privacy-sensitive AI applications
- High-volume inference workloads
What it does well
- Chatbots and AI assistants
- Document QA and RAG
- Text generation and summarization
- Image understanding and analysis
- Speech audio transcription and generation
Integrations
Discussion Community
Sign in to commentNo discussion yet. Sign in to start the conversation.
Compare Oxlo.ai
Spotted incorrect or missing data? Join our community of contributors.
Sign Up to ContributeCommunity Notes & Tips Community
Sign in to contributeBe the first to contribute. General notes, observations, gotchas, and tips from people who use this tool day-to-day.
Frequently Asked Questions
- Is Oxlo.ai free?
- Oxlo.ai has a permanent free tier alongside paid upgrades (paid plans from $80/month). You can keep using a baseline version indefinitely without paying.
- Is Oxlo.ai open source?
- No — Oxlo.ai is a closed-source tool. Source code is not publicly available.
- Does Oxlo.ai have an API?
- Yes. Oxlo.ai exposes a developer API. See the official documentation at https://oxlo.ai for details.
- What platforms does Oxlo.ai support?
- Oxlo.ai is available on: Web, API.
Hours Saved & ROI Stories Community
Sign in to contributeBe the first to contribute. Concrete time/cost savings, with context. e.g. "Cut my code review backlog from 4h to 45m per week."
Curated lists that include this category
Oxlo.ai provides hosted inference for a catalog of open-source models via a REST API that mirrors the OpenAI request format. Developers point existing OpenAI SDK integrations at Oxlo’s endpoint, swap the base URL and API key, and gain access to models including DeepSeek R1 671B, Kimi K2.6, Llama 3.3 70B, Whisper v3, Kokoro TTS, BGE-Large, SDXL, and YOLOv11 — covering text, image, audio, embeddings, and object detection in a single billing account. The vendor also lists OxCompute as a forthcoming product, though no details are available on the page.
The differentiating claim is the combination of flat-rate pricing and a stated zero-data-retention policy. The vendor states that requests are not used for model training and are not stored after processing — a meaningful distinction if you’re handling legal documents, medical records, or proprietary enterprise data. The paid plan is a single flat monthly fee rather than per-token metering, which means a spike in usage does not produce a spike in your bill. The vendor’s own cost calculator confirms that per-token alternatives are cheaper at low volumes, so this pricing model is strictly advantageous at scale.
Oxlo.ai fits teams that have already validated their use case and are moving to production at volume — chatbots, document Q&A pipelines, batch transcription, or embedding generation where monthly token counts are high and cost predictability matters. It does not fit teams that need to self-host or run models inside their own VPC, since no self-hosted deployment option is offered. The service is also not an agent framework — there is no canvas, no workflow builder, and no visual tooling; it is an inference endpoint that agents you build elsewhere call. Teams that need workflow orchestration build that layer themselves and treat Oxlo.ai purely as the model backend.