Oxlo.ai vs Supernova: Features, Pricing & Which Is Better (2026)

A side-by-side comparison of Oxlo.ai and Supernova — features, pricing, and ideal use cases — to help you decide which AI tool fits your workflow.

Oxlo.ai

Oxlo

Freemium

Privacy-first inference platform to run Kimi K2.6, DeepSeek, and 45+ open-source models on a flat-priced, OpenAI-compatible API.

OpenAI-compatible API: Drop-in API that serves 45+ open-source models so existing OpenAI client code works without rewrites.
Flat monthly pricing: A fixed subscription instead of per-token billing, keeping inference bills predictable at any scale.
Privacy-first inference: Zero data retention and no training on your data, so prompts and outputs stay private.
Unlimited agentic tool calls: Run agent workflows with tool calling without metered per-call charges.
Secure failover: Automatic routing and failover across models to keep agents reliable under load.
Cost calculator: Compare your current inference spend against Oxlo and competing providers before committing.
Broad model catalog: Access frontier open models like Kimi K2.6, DeepSeek V4 Flash, GLM-5, Llama, and Qwen plus Whisper, TTS, and image models.

Building chatbots and AI assistants for support and internal tools on open models.
Powering document Q&A and retrieval-augmented generation over PDFs and knowledge bases.
Generating, rewriting, and summarizing text inside apps and internal systems.
Running image understanding tasks such as classification and object detection.
Cutting and stabilizing inference costs for AI teams with high, variable token usage.

Paid

An encrypted Iceberg data lake with a built-in engine and MCP endpoint, so Claude and Codex can query every tool your company uses.

MCP Endpoint for Claude and Codex: Point any MCP-speaking assistant at mcp.supernova.ai/mcp and every synced table becomes queryable in natural language.
Encrypted Iceberg Lake: Open Apache Iceberg tables in object storage with table-level encryption, so the data stays in a portable open format you control.
Zero-Copy Connections: Any engine that speaks Iceberg can read the lake directly, avoiding a second copy of your warehouse.
Time Travel: Every table retains version history, so you can query the state of your data as of any earlier point.
Built-In Frontier Models: Ask a question or describe a dashboard in plain language and Supernova generates the models and visualisations without a data team.
TypeSQL: Schema-aware SQL that autocompletes across joins and type-checks before execution, catching errors the way a typed language would.
Single-Binary CLI: One command-line tool connects sources, runs queries, tails live table changes and registers the MCP endpoint with Claude Desktop, from a laptop or CI.
Git-Backed Dashboards: Models and dashboards are readable and writable through Git, putting analytics artefacts under normal version control.

Conversational Revenue Analysis: Ask Claude which customers churned last quarter and why, with the answer computed over live Stripe and HubSpot tables.
Warehouse Cost Reduction: Replace a multi-vendor pipeline-plus-warehouse stack with one usage-billed platform, which the vendor illustrates as $5,640/mo dropping to $540/mo for a hardware company.
Dashboards Without a Data Team: Describe the dashboard you want in a sentence and have the models and charts generated for you.
AI-Native Data Access Layer: Give internal agents a governed, encrypted single endpoint for company data instead of per-tool API integrations.
Auditing Historical State: Use table version history to reconstruct what the numbers looked like before a pricing or schema change.
CI-Driven Data Workflows: Drive connections, queries and change tailing from pipelines using the single CLI binary.