| 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, 08:15 | anthropic | sonnet | dbt-models | - | 5,412 / 1,206 | - | €0.12 | 3 g | 54 mL | 9.11 Wh |
| 18 Sept 2026, 02:00 | meta | llama-3.3-70b-instruct | - | - | 2,641,127 / 264,113 | - | €1.54 | 94 g | 1.5 L | 251 Wh |
| 18 Sept 2026, 02:00 | gemini-2.5-pro | - | - | 409,360 / 61,957 | - | €0.99 | 976 g | 10.5 L | 2.3 kWh | |
| 18 Sept 2026, 02:00 | gemini-2.5-pro | - | - | 245,138 / 36,771 | - | €0.59 | 582 g | 6.2 L | 1.4 kWh | |
| 18 Sept 2026, 02:00 | gemini-2.5-flash | - | - | 4,140,070 / 469,620 | - | €2.12 | 800 g | 8.6 L | 1.9 kWh | |
| 18 Sept 2026, 02:00 | gemini-2.5-flash | - | - | 1,769,629 / 192,351 | - | €0.89 | 335 g | 3.6 L | 789 Wh | |
| 18 Sept 2026, 02:00 | gemini-2.5-flash | - | - | 4,914,360 / 525,328 | - | €2.46 | 931 g | 10.0 L | 2.2 kWh | |
| 18 Sept 2026, 00:37 | anthropic | sonnet | dbt-models | - | 15,098 / 2,453 | - | €0.29 | 8 g | 127 mL | 21 Wh |
| 18 Sept 2026, 00:00 | openai | gpt-5.6-sol | - | - | 163,328 / 24,747 | - | €1.71 | 187 g | 2.2 L | 424 Wh |
| 18 Sept 2026, 00:00 | openai | gpt-5.6-terra | - | - | 141,782 / 21,482 | - | €0.78 | 53 g | 627 mL | 121 Wh |
| 17 Sept 2026, 23:00 | openai | gpt-5.6-sol | - | - | 98,653 / 14,947 | - | €1.03 | 113 g | 1.3 L | 256 Wh |
| 17 Sept 2026, 23:00 | openai | gpt-5.6-terra | - | - | 51,427 / 7,792 | - | €0.28 | 19 g | 227 mL | 44 Wh |
| 17 Sept 2026, 22:20 | anthropic | opus | acme-app | - | 5,082 / 966 | - | €0.25 | 6 g | 90 mL | 15 Wh |
| 17 Sept 2026, 22:00 | openai | gpt-5.6-sol | - | - | 67,008 / 10,153 | - | €0.70 | 77 g | 900 mL | 174 Wh |
| 17 Sept 2026, 22:00 | openai | gpt-5.6-sol | - | - | 138,068 / 20,919 | - | €1.45 | 158 g | 1.9 L | 359 Wh |
| 17 Sept 2026, 21:59 | anthropic | sonnet | ml-experiments | - | 7,875 / 1,561 | - | €0.18 | 5 g | 77 mL | 13 Wh |
| 17 Sept 2026, 21:00 | openai | gpt-5.6-sol | - | - | 47,370 / 7,177 | - | €0.50 | 54 g | 637 mL | 123 Wh |
| 17 Sept 2026, 21:00 | openai | gpt-5.6-terra | - | - | 158,815 / 24,063 | - | €0.87 | 60 g | 702 mL | 136 Wh |
| 17 Sept 2026, 20:44 | anthropic | opus | acme-app | - | 25,364 / 5,637 | - | €1.29 | 30 g | 480 mL | 81 Wh |
| 17 Sept 2026, 20:00 | openai | gpt-5.6-sol | - | - | 168,455 / 25,524 | - | €1.77 | 193 g | 2.3 L | 438 Wh |