What people call a chatbot: a question, a written answer, produced token by token. It is the most common type, and the one whose estimate is the most direct — the bytes arriving are the answer being written.
Billed on volume received, converted into tokens and then energy at 2 Wh per thousand tokens.
| Service | Inference region | Intensity | 500-token answer |
|---|---|---|---|
| Claude | United States | 380 g/kWh | 0.38 g · 500 tokens |
| ChatGPT / OpenAI | United States | 380 g/kWh | 0.38 g · 500 tokens |
| Grok / xAI | United States | 380 g/kWh | 0.38 g · 500 tokens |
| Meta AI | United States | 380 g/kWh | 0.38 g · 500 tokens |
| Mistral / Le Chat | France | 50 g/kWh | 0.05 g · 500 tokens |
| DeepSeek | China | 580 g/kWh | 0.58 g · 500 tokens |
| Microsoft Copilot | United States | 380 g/kWh | 0.38 g · 500 tokens |
| Poe | United States | 380 g/kWh | 0.38 g · 500 tokens |
| OpenRouter | World | 480 g/kWh | 0.48 g · 500 tokens |
| Groq | United States | 380 g/kWh | 0.38 g · 500 tokens |
| Together AI | United States | 380 g/kWh | 0.38 g · 500 tokens |
| Fireworks | United States | 380 g/kWh | 0.38 g · 500 tokens |
| Cohere | United States | 380 g/kWh | 0.38 g · 500 tokens |
| Hugging Face Inference | World | 480 g/kWh | 0.48 g · 500 tokens |
| Qwen / Tongyi | China | 580 g/kWh | 0.58 g · 500 tokens |
| Kimi / Moonshot | China | 580 g/kWh | 0.58 g · 500 tokens |
| Zhipu / GLM | China | 580 g/kWh | 0.58 g · 500 tokens |
| Ernie / Baidu | China | 580 g/kWh | 0.58 g · 500 tokens |
| Doubao / ByteDance | China | 580 g/kWh | 0.58 g · 500 tokens |
| Z.ai | China | 580 g/kWh | 0.58 g · 500 tokens |
| Character.AI | United States | 380 g/kWh | 0.38 g · 500 tokens |
| Pi / Inflection | United States | 380 g/kWh | 0.38 g · 500 tokens |
| AWS Bedrock (US) | United States | 380 g/kWh | 0.38 g · 500 tokens |
| AWS Bedrock (UE) | European Union | 250 g/kWh | 0.25 g · 500 tokens |
| DeepL | European Union | 250 g/kWh | 0.06 g · 500 tokens |
| Grammarly | United States | 380 g/kWh | 0.1 g · 500 tokens |