Hopscotch vs Opencontroller by Lyzr: Features, Pricing & Which Is Better (2026)
A side-by-side comparison of Hopscotch and Opencontroller by Lyzr — features, pricing, and ideal use cases — to help you decide which AI tool fits your workflow.
Hopscotch
Hopscotch Labs
OpenAI-compatible LLM gateway giving one API and one balance for 500+ models, with fallbacks and spend limits per key, teammate and workspace.
Key features
- Unified OpenAI-Compatible API: Call 500+ models from Anthropic, OpenAI, Google and others by changing only the base URL, API key and model name in the OpenAI SDK.
- Routing Profiles and Fallbacks: Define an ordered list of backup models so requests fail over automatically when a provider errors or returns a 429.
- Spend Limits: Set resetting credit limits per API key, monthly limits per teammate and workspace, and a cap on how fast the account can spend.
- Activity Log and Usage Analytics: See every request with serving provider, outcome, tokens, cost and latency, export to CSV, and break spend down by model, key and teammate.
- Model Catalog with Upstream Pricing: Each model lists context window and per-million-token price, including multiple upstream providers for open-weight models.
- Side-by-Side Playground: Run one prompt on up to three models and compare answers and cost before changing code.
- Bring Your Own Keys: Use your own provider keys free with no monthly cap alongside Hopscotch credit.
Best for
- Multi-Provider Apps: Letting an application switch between Claude, GPT and Gemini without maintaining separate SDKs, accounts or bills.
- Resilient Production Traffic: Automatically falling back to another model when a primary provider is rate-limited or down.
- Team Budget Governance: Giving each developer or environment its own key with a spend ceiling so costs cannot run away.
- Model Evaluation: Comparing output quality and cost of several models on real prompts in the playground before switching.
- Cost Auditing: Exporting per-request logs to attribute LLM spend by model, provider, key and teammate.
Opencontroller by Lyzr
Lyzr AI
Lyzr Opencontroller is a unified control plane to discover, deploy, govern and monitor AI agents across any cloud, framework, model and runtime.
Key features
- Agent Discovery: Automatically finds agents, models, tools, data and workflows across multi-account clouds, SaaS vendors, Kubernetes and devices.
- In-Path Policy Enforcement: Blocks an agent's call in the request path when policy says no, rather than only alerting after the fact.
- Deployment Into Your Infrastructure: Deploys agent containers into your own cluster or into Bedrock, Vertex and Foundry runtimes under your keys.
- Governed Promotion: Ordered environment promotion with separation of duties for production and immutable versions with pointer-based rollback.
- Cross-Vendor Governance: Enforces policies on agents running in other vendors' clouds, framework- and model-agnostic.
- Real-Time Monitoring: Monitors agents, applications, APIs and infrastructure from one control plane.
- Auditability: Every identity attributable and every decision traceable for compliance evidence.
- Continuous Improvement Insights: Turns real-world usage, performance, cost and security signals into actionable recommendations.
Best for
- Taming Agent Sprawl: CIOs inventory every agent running across clouds, teams and SaaS tools in one view.
- Regulated Deployment: Banks and insurers enforce separation of duties and audit trails before agents reach production.
- Runtime Guardrails: Security teams stop agents from executing policy-violating calls in real time.
- Multi-Cloud Agent Operations: Platform teams deploy and roll back agent containers across AWS, Google Cloud and Azure runtimes.
- Sovereign AI: Organizations keep agent control inside their own cloud with no traffic sent to the vendor.
- Cost & Performance Optimization: AI leads use usage and cost signals to improve agent fleets over time.