| Top teams | CO₂ | Change |
|---|---|---|
| Engineering· 18 | 393.7 kg | 70% |
| Data· 14 | 137.8 kg | 33% |
| Design· 8▲1 | 17.9 kg | 257% |
| Product· 10▼1 | 17.6 kg | 135% |
Whole organisation over the selected period and provider, selections aside.
| Model | Tokens | CO₂ | Cost | g CO₂e / M tok | € / M tok |
|---|---|---|---|---|---|
| Claude SonnetAnthropic | 39% | 19% | 28% | 10 g | €0.33 |
| Claude OpusAnthropic | 30% | 29% | 43% | 20 g | €0.65 |
| Claude HaikuAnthropic | 19% | 5% | 6% | 5 g | €0.14 |
| GPT-5.6 SolOpenAI | 5% | 22% | 9% | 99 g | €0.90 |
| Claude FableAnthropic | 5% | 9% | 11% | 40 g | €1.16 |
| GPT-5.6 TerraOpenAI | 1% | 2% | 1% | 32 g | €0.47 |
| Gemini 2.5 FlashGoogle | 1% | 8% | 1% | 149 g | €0.39 |
| Llama 3.3 70BMeta | 0% | 0% | 0% | 32 g | €0.53 |
| Gemini 2.5 ProGoogle | 0% | 4% | 0% | 2.1 kg | €2.09 |
| DeepSeek V4.1 FlashDeepSeek | 0% | 2% | 0% | 1.8 kg | €0.29 |
List price and CO₂e per million generated tokens, for the 33 current registry models. Your models are filled, the others hollow.
| Provider | Cost | CO2 |
|---|---|---|
| Anthropic | €10,999 | 350.5 kgderived |
| OpenAI | €1,349 | 140.1 kgderived |
| €145 | 68.4 kgderived | |
| Meta | €44 | 2.7 kgderived |
| DeepSeek | €2 | 10.6 kgderived |
| Feature | Cost | CO2 |
|---|---|---|
| Unattributed | €12,539 | 572.3 kgderived |
Subscriptions save you ~€5,336 over the period.
This demo runs on sample data. We set this dashboard up on your real data during the engagement, with a monthly review of the figures.
Book 30 minutes →12 smaller ones to review under Members.
Per-person detail in the Members ranking → (actual cost / API equiv., columns shown on wide screens).
| Tokens in / out |
|---|
| Latency |
|---|
| Cost |
|---|
| CO₂ |
|---|
| Water |
|---|
| Energy |
|---|
| 18 Sept 2026, 12:00 | openai | gpt-5.6-sol | - | - | 24,482 / 3,709 | - | €0.26 | 28 g | 329 mL | 64 Wh |
| 18 Sept 2026, 12:00 | openai | gpt-5.6-sol | - | - | 109,436 / 16,581 | - | €1.15 | 125 g | 1.5 L | 284 Wh |
| 18 Sept 2026, 11:57 | anthropic | sonnet | data-pipeline | - | 92,447 / 14,830 | - | €2.08 | 55 g | 868 mL | 146 Wh |
| 18 Sept 2026, 11:56 | anthropic | sonnet | data-pipeline | - | 5,222 / 1,126 | - | €0.10 | 3 g | 48 mL | 8.11 Wh |
| 18 Sept 2026, 11:53 | anthropic | opus | acme-app | - | 3,791 / 799 | - | €0.22 | 5 g | 77 mL | 13 Wh |
| 18 Sept 2026, 11:53 | anthropic | opus | acme-app | - | 1,552 / 345 | - | €0.10 | 2 g | 35 mL | 5.87 Wh |
| 18 Sept 2026, 11:38 | anthropic | opus | acme-app | - | 791 / 160 | - | €0.04 | 0.975 g | 15 mL | 2.59 Wh |
| 18 Sept 2026, 11:29 | anthropic | opus | ml-experiments | - | 2,264 / 573 | - | €0.13 | 3 g | 48 mL | 8.08 Wh |
| 18 Sept 2026, 11:25 | anthropic | opus | acme-api | - | 242 / 58 | - | €0.02 | 0.356 g | 5.6 mL | 0.95 Wh |
| 18 Sept 2026, 11:10 | anthropic | opus | acme-app | - | 187,732 / 46,681 | - | €11.07 | 257 g | 4.1 L | 683 Wh |
| 18 Sept 2026, 11:00 | openai | gpt-5.6-terra | - | - | 131,127 / 19,868 | - | €0.72 | 49 g | 580 mL | 112 Wh |
| 18 Sept 2026, 11:00 | openai | gpt-5.6-terra | - | - | 95,214 / 14,426 | - | €0.52 | 36 g | 421 mL | 81 Wh |
| 18 Sept 2026, 11:00 | openai | gpt-5.6-sol | - | - | 30,186 / 4,574 | - | €0.32 | 35 g | 406 mL | 78 Wh |
| 18 Sept 2026, 11:00 | anthropic | sonnet | - | - | 209,415 / 51,401 | - | €1.02 | 62 g | 985 mL | 166 Wh |
| 18 Sept 2026, 11:00 | openai | gpt-5.6-sol | - | - | 100,044 / 15,158 | - | €1.05 | 115 g | 1.3 L | 260 Wh |
| 18 Sept 2026, 11:00 | openai | gpt-5.6-sol | - | - | 109,295 / 16,560 | - | €1.15 | 125 g | 1.5 L | 284 Wh |
| 18 Sept 2026, 11:00 | openai | gpt-5.6-sol | - | - | 87,592 / 13,272 | - | €0.92 | 100 g | 1.2 L | 228 Wh |
| 18 Sept 2026, 10:59 | anthropic | sonnet | data-pipeline | - | 796 / 148 | - | €0.02 | 0.454 g | 7.2 mL | 1.21 Wh |
| 18 Sept 2026, 10:46 | anthropic | haiku | data-pipeline | - | 152,180 / 35,843 | - | €2.03 | 57 g | 904 mL | 152 Wh |
| 18 Sept 2026, 10:41 | anthropic | opus | dbt-models | - | 3,174 / 657 | - | €0.19 | 4 g | 66 mL | 11 Wh |