CrbonFree vs Hopscotch: Features, Pricing & Which Is Better (2026)
A side-by-side comparison of CrbonFree and Hopscotch — features, pricing, and ideal use cases — to help you decide which AI tool fits your workflow.
CrbonFree
Crbon Labs Inc.
CrbonFree meters the energy and carbon of every AI token across providers, with published factors, uncertainty bands and audit-ready retirement receipts.
Key features
- Per-Token Carbon Metering: Counts every token by model and provider and converts it to energy, CO2e and water using versioned, published factors.
- Multi-Provider Coverage: Connects OpenAI, Anthropic, OpenRouter, AWS Bedrock, Google Vertex AI, Azure Foundry, Vercel and Cloudflare AI Gateways into one report.
- Many Ingestion Surfaces: Read-only provider keys, TypeScript and Python SDKs, an OAuth-secured remote MCP server, a CLI for local coding agents and a Chrome/Edge extension for ChatGPT, Gemini and Claude.
- Layered Methodology with Uncertainty: Reports model energy, data-centre overhead and embodied hardware/training carbon separately, each with a ±28.3% uncertainty band.
- Metadata-Only Privacy: Receives only model, token counts and timestamps — prompt and completion content never leaves your systems.
- Signed Retirement Receipts: Paid plans issue receipts listing credit serial numbers on the American Carbon Registry or BCarbon Registry, publicly verifiable.
- Monthly Audit Packs: Zip exports with a manifest hash plus badges and certificates to back published climate claims.
- Dashboard & REST API: One view of tokens, cost and carbon across projects with CSV/JSON export and twelve read endpoints with an OpenAPI spec.
Best for
- Scope 3 Reporting: Sustainability teams produce defensible AI emissions figures for disclosures instead of spend-based guesses.
- Engineering Carbon Visibility: Track the footprint of coding agents like Claude Code across a dev team via the CLI.
- Model Selection by Footprint: Compare energy and carbon per provider and model tier when choosing models for production workloads.
- Carbon Offsetting with Proof: Retire credits against measured AI usage and share verifiable receipts with auditors or customers.
- Board and Auditor Requests: Hand auditors monthly audit packs with verifiable hashes when asked for AI emissions data.
- Personal Chat Usage Tracking: Individuals estimate the footprint of their ChatGPT, Gemini and Claude sessions with the browser extension.
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.