{"service":"InferenceLatency.com","endpoint":"/efficiency","timestamp":"2026-08-30T05:56:48.060934Z","efficiency_analysis":{"providers_analyzed":1,"most_efficient_provider":"OpenAI","least_efficient_provider":"OpenAI","average_energy_wh":0.4,"average_carbon_g":0.128,"grid_carbon_intensity":320},"provider_efficiency":[{"provider":"OpenAI","model":"GPT-4o","latency_ms":751,"energy_wh_est":0.4,"carbon_g_est":0.128,"carbon_per_1k_tokens":128.0,"efficiency_score":0.33,"grid_gco2_per_kwh":320,"methodology":"estimated"}],"methodology":{"energy_source":"vendor_disclosures_and_estimates","carbon_calculation":"(energy_wh / 1000) * grid_gco2_per_kwh","grid_intensity_source":"global_average","scope":"online_inference_only","accuracy_note":"Estimates based on available vendor data and industry benchmarks"},"sustainability_insights":{"greenest_choice":"OpenAI","carbon_savings_potential":null,"recommendation":"Choose providers with lower energy consumption for high-volume inference workloads"}}