{ "_schema_version": 1, "_note": "Per-token energy coefficients (joules). Sourced where possible from the HuggingFace AI Energy Score corpus and published vendor reports. Where no public number exists the coefficient is documented as 'vendor-undisclosed' and derived from order-of-magnitude analysis (model parameter count * dense-FLOPs-per-token * datacenter PUE / per-token throughput). All numbers are ESTIMATES; the JouleCost is always tagged JouleSource::Estimated.", "profiles": { "claude-3-5-sonnet": { "joules_per_input_token": 0.10, "joules_per_output_token": 0.50, "source": "HuggingFace AI Energy Score + Anthropic published reports (claude-3.5-sonnet, 2024)" }, "claude-3-opus": { "joules_per_input_token": 0.30, "joules_per_output_token": 1.20, "source": "vendor-undisclosed; estimator derived from parameter-count ratio vs claude-3.5-sonnet" }, "claude-3-haiku": { "joules_per_input_token": 0.03, "joules_per_output_token": 0.15, "source": "vendor-undisclosed; estimator derived from claude-3-haiku FLOPs/token reports" }, "gpt-4o": { "joules_per_input_token": 0.10, "joules_per_output_token": 0.40, "source": "HuggingFace AI Energy Score (gpt-4o, 2024)" }, "gpt-4o-mini": { "joules_per_input_token": 0.02, "joules_per_output_token": 0.08, "source": "HuggingFace AI Energy Score (gpt-4o-mini, 2024)" }, "gpt-4.1": { "joules_per_input_token": 0.12, "joules_per_output_token": 0.48, "source": "vendor-undisclosed; estimator derived from gpt-4o coefficient + OpenAI capacity disclosures" }, "o3": { "joules_per_input_token": 0.50, "joules_per_output_token": 4.00, "source": "vendor-undisclosed; estimator inflated for hidden reasoning-token expansion (4-8x output token amplification)" }, "gemini-1.5-pro": { "joules_per_input_token": 0.08, "joules_per_output_token": 0.40, "source": "Google Sustainability Report 2024 + HuggingFace AI Energy Score (gemini-1.5)" }, "gemini-1.5-flash": { "joules_per_input_token": 0.02, "joules_per_output_token": 0.10, "source": "Google Sustainability Report 2024" }, "llama-3.1-70b": { "joules_per_input_token": 0.07, "joules_per_output_token": 0.35, "source": "HuggingFace AI Energy Score (llama-3.1-70b)" }, "llama-3.1-8b": { "joules_per_input_token": 0.01, "joules_per_output_token": 0.05, "source": "HuggingFace AI Energy Score (llama-3.1-8b)" }, "mixtral-8x7b": { "joules_per_input_token": 0.04, "joules_per_output_token": 0.20, "source": "HuggingFace AI Energy Score (mixtral-8x7b) + Mistral published efficiency reports" } } }