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

A side-by-side comparison of Auriko and Timbal — 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.

Freemium

Enterprise AI platform for building, deploying and governing production agents, workflows, interfaces and knowledge bases on the models you choose.

Composable Agents: Autonomous agents with reasoning, tools and memory ready for production workloads.
Deterministic Workflows: Chain steps and branch on logic to guarantee outcomes when non-deterministic agents aren't acceptable.
Custom Interfaces: Build bespoke UI surfaces on top of the same agents and workflows without a separate frontend project.
Knowledge Bases: First-class RAG store to ground agents in enterprise data.
Developer Toolkit: Framework, SDK, CLI and API let engineers author and version everything as code.
ACE Infrastructure & MCP: The ACE runtime and native MCP support connect agents to internal systems with enterprise controls.
Enterprise Trust: Security controls, a Trust Center and ACE Outcomes reporting cover the compliance side.

Enterprise Agent Rollouts: Large teams deploy internal agents governed by ACE across departments.
Deterministic Business Workflows: Ops teams codify approval chains and back-office pipelines as Timbal workflows.
Custom Copilots: Product teams ship internal copilots with tailored UIs on top of the platform.
Grounded Q&A over Company Data: Support and knowledge teams use Timbal knowledge bases to power grounded assistants.
System-Level Integrations: IT teams connect agents to SAP, Anthropic APIs and other core systems via MCP.