Comparison
AI Energy Score vs Eco2AI
AI Energy Score vs Eco2AI: Open leaderboard that rates the energy efficiency of AI models for inference. Python library for tracking the CO2 emissions of…
| Field | AI Energy Score Open leaderboard that rates the energy efficiency of AI models for inference. | Eco2AI Python library for tracking the CO2 emissions of machine learning models. |
|---|---|---|
| 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. | Released under the Apache License 2.0 and installable from PyPI. |
| Free tier | Yes | Yes |
| Assets covered | ||
| Platforms | Web | On-premise, Cloud |
| 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 Eco2AI
Built for Python ML practitioners who want emissions logged per experiment with a decorator or explicit start and stop calls, writing a local session record with project, duration, power, hardware and country. The trade-off is modelling scope: the CO2 figure combines measured CPU and GPU power with a regional emission coefficient, so it reflects that coefficient and local power draw rather than metered grid supply, and the log stays local, leaving aggregation and reporting to you. It tracks runs, not infrastructure. Teams needing fleet-wide or audited accounting should feed its logs into a reporting platform.
Read the Eco2AI listingJudgement is written by the editor. Paid placements never change the ranking or the recorded field values.
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