Auriko vs Supernova: Features, Pricing & Which Is Better (2026)

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

Auriko

Freemium

Cache-aware LLM router and inference platform with one API across major providers and zero provider price markup.

Unified API: One OpenAI-compatible endpoint fronts OpenAI, Anthropic, Google, xAI, Fireworks, Together, DeepSeek, Moonshot and more.
Cache-Aware Routing: Routes each request using cost estimates that account for each provider's cache hit behavior and workload patterns.
Multiple Focus Modes: Optimize routing for cost, time-to-first-token, throughput or balanced modes, with optional custom weights.
Deterministic Routing (Pro): Always picks the highest-scoring eligible route so production behavior is reproducible.
Bring Your Own Key: BYOK support lets teams keep existing provider contracts and quotas while still benefiting from the router.
Fallback & Load Balancing: Automatic fallback and load-balanced routing keep apps up when a single provider degrades.

Production LLM Cost Reduction: Engineering teams cut inference bills by routing chat and RAG traffic to the cheapest cache-friendly provider.
Reliability Fallback: Ops teams shield user-facing agents from provider outages via automatic fallback routes.
Latency-Sensitive Apps: Real-time products optimize for time-to-first-token when the user is watching a stream.
BYOK Enterprise Deployments: Enterprises route through Auriko while keeping token spend on their own provider contracts.
Multi-Model A/B Testing: Product teams experiment with different backend models without rewriting client code.

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.