Comparison
AI Energy Score vs Green Algorithms
AI Energy Score vs Green Algorithms: Open leaderboard that rates the energy efficiency of AI models for inference. Carbon footprint calculators and HPC…
| Field | AI Energy Score Open leaderboard that rates the energy efficiency of AI models for inference. | Green Algorithms Carbon footprint calculators and HPC energy dashboards for computational science. |
|---|---|---|
| Pricing model | Free | Free |
| Pricing published | Public pricing | Public pricing |
| Starting price | Free | Free |
| Licensing | Open source | Open source |
| Pricing details | Public leaderboard and submission portal; the project site lists no paid tier or price for using the ratings. | The calculators and dashboards are free to use; the calculator repository carries a Creative Commons Attribution 4.0 International licence, and the project site is licensed CC BY 4.0. |
| Free tier | Yes | Yes |
| Assets covered | ||
| Platforms | Web | Web, On-premise |
| Region support | Global | Global |
| Compliance | Not stated | Not stated |
| API available | No | No |
| Last verified | 2026-10-22 | 2026-10-22 |
Editor's take on AI Energy Score
Aimed at procurement and model-selection teams that want comparable inference energy ratings across models and tasks without running a benchmark programme themselves. Ratings are 1-5 stars per task or model-size class, based on measured GPU energy in watt-hours submitted by developers, so a score reflects the submitted measurement setup rather than your hardware and prompts. It covers inference only and is a public leaderboard, not a metering tool, so production usage tracking needs separate instrumentation. Teams needing training energy or workload-specific attribution should look elsewhere.
Read the AI Energy Score listingEditor's take on Green Algorithms
Built for research computing teams that need to estimate and report the carbon footprint of computations and HPC jobs, including a lightweight single-user dashboard that needs no admin access. It offers calculators and dashboards rather than production metering, and the methodology is documented for citation in papers, which suits grant and sustainability reporting. The trade-off is that estimates follow the tool's methodology and user-supplied inputs, so operational telemetry and automated rollups need separate integration. Groups wanting per-workload metering or a commercial reporting platform should pair it with those tools.
Read the Green Algorithms listingJudgement is written by the editor. Paid placements never change the ranking or the recorded field values.
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