Performance of AI models
On 10 November 2026, among the 7 models whose electricity use can be estimated, Claude Opus 5.5 completes the most coding tasks (57.8%). It also needs the most electricity per task: 200 to 610 Wh, as much as about 670 to 2,000 quick questions; Claude Haiku 5.5 needs the least: 13 to 38 Wh.
Coding tasks completed and electricity use of a task, 7 models
CursorBench benchmark, best setting of each model; electricity use of a task in Wh, estimate, logarithmic scale; data as of 10/11/2026
Bar: the electricity use of a task, from "all tokens read" to "all written" (estimate)In deep green, the model that completes the most tasks
Sources: Epoch AI, CursorBench; electricity: Projet Celsius estimate, AI Impact Database (IA-0011). Licence CC BY 4.0.
Estimation methodology
CursorBench benchmark, best setting of each model; only models whose size is known (written in the name) or deduced from a price checked with the company are estimated. Electricity: Projet Celsius estimate, tokens of the task × electricity of writing 1,000 tokens for the size of the model (AI Impact Database, IA-0011) × data centre overhead; range between "all tokens read" and "all written". When the size comes from the price, a neighbouring size would divide the estimate by 4 to 6 or multiply it by as much: the profile of each model specifies this. Benchmark: a quick question to an assistant needs about 0.3 Wh. The quick question in the AI Impact Database.
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The full ranking →
ModelAnthropicClaude Opus 5.54thout of 71 on general intelligence1st on coding tasks: its rank in each benchmark, its settings, its assistants.The entry →RankingAI modelsAll models measured89models measured, of which 42 with an entryOne row per model, its rank in each benchmark, sorting by column, filtering by company.The table →Ranking10 AI assistantsRanking of AI assistants74of 100 for Claude, 1stThe Celsius score: one third performance, one third ethics, one third environment.The ranking →The hub newsletter
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