| Top teams | CO₂ | Change |
|---|---|---|
| Engineering· 18 | 345.1 kg | 35% |
| Data· 14 | 129.9 kg | 22% |
| Design· 8▲1 | 17.3 kg | 235% |
| Product· 10▼1 | 16.9 kg | 124% |
Whole organisation over the selected period and provider, selections aside.
| Model | Tokens | CO₂ | Cost | g CO₂e / M tok | € / M tok |
|---|---|---|---|---|---|
| Claude SonnetAnthropic | 38% | 18% | 28% | 10 g | €0.34 |
| Claude OpusAnthropic | 33% | 31% | 46% | 20 g | €0.65 |
| Claude HaikuAnthropic | 18% | 4% | 6% | 5 g | €0.16 |
| GPT-5.6 SolOpenAI | 5% | 22% | 9% | 99 g | €0.90 |
| Claude FableAnthropic | 3% | 6% | 8% | 40 g | €1.18 |
| GPT-5.6 TerraOpenAI | 1% | 2% | 1% | 32 g | €0.47 |
| Gemini 2.5 FlashGoogle | 1% | 9% | 1% | 149 g | €0.39 |
| Llama 3.3 70BMeta | 0% | 1% | 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 | €9,936 | 309.1 kgderived |
| OpenAI | €1,215 | 126 kgderived |
| €139 | 65.7 kgderived | |
| Meta | €46 | 2.8 kgderived |
| DeepSeek | €2 | 10.6 kgderived |
| Feature | Cost | CO2 |
|---|---|---|
| Unattributed | €11,338 | 514.2 kgderived |
Subscriptions save you ~€4,291 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 →16 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 |
|---|
| 25 Sept 2026, 10:19 | anthropic | opus | acme-app | - | 166,561 / 30,721 | - | €5.69 | 204 g | 3.2 L | 541 Wh |
| 25 Sept 2026, 10:00 | openai | gpt-5.6-terra | - | - | 61,092 / 9,256 | - | €0.34 | 23 g | 270 mL | 52 Wh |
| 25 Sept 2026, 10:00 | openai | gpt-5.6-terra | - | - | 75,869 / 11,495 | - | €0.42 | 29 g | 335 mL | 65 Wh |
| 25 Sept 2026, 10:00 | openai | gpt-5.6-terra | - | - | 101,032 / 15,308 | - | €0.56 | 38 g | 447 mL | 86 Wh |
| 25 Sept 2026, 10:00 | openai | gpt-5.6-terra | - | - | 107,878 / 16,345 | - | €0.59 | 41 g | 477 mL | 92 Wh |
| 25 Sept 2026, 10:00 | openai | gpt-5.6-sol | - | - | 17,472 / 2,647 | - | €0.18 | 20 g | 235 mL | 45 Wh |
| 25 Sept 2026, 10:00 | openai | gpt-5.6-sol | - | - | 62,576 / 9,481 | - | €0.66 | 72 g | 841 mL | 163 Wh |
| 25 Sept 2026, 10:00 | openai | gpt-5.6-terra | - | - | 103,167 / 15,631 | - | €0.57 | 39 g | 456 mL | 88 Wh |
| 25 Sept 2026, 09:51 | anthropic | opus | dbt-models | - | 4,190 / 845 | - | €0.15 | 5 g | 84 mL | 14 Wh |
| 25 Sept 2026, 09:30 | anthropic | opus | acme-api | - | 37,119 / 5,807 | - | €1.08 | 37 g | 588 mL | 99 Wh |
| 25 Sept 2026, 09:27 | anthropic | haiku | ml-experiments | - | 152,226 / 32,065 | - | €1.58 | 46 g | 731 mL | 123 Wh |
| 25 Sept 2026, 09:15 | anthropic | sonnet | design-system | - | 9,041 / 1,615 | - | €0.16 | 5 g | 74 mL | 12 Wh |
| 25 Sept 2026, 09:03 | anthropic | opus | dbt-models | - | 56,186 / 11,391 | - | €1.69 | 64 g | 1.0 L | 169 Wh |
| 25 Sept 2026, 09:00 | openai | gpt-5.6-sol | - | - | 43,180 / 6,542 | - | €0.45 | 49 g | 580 mL | 112 Wh |
| 25 Sept 2026, 09:00 | openai | gpt-5.6-terra | - | - | 27,101 / 4,106 | - | €0.15 | 10 g | 120 mL | 23 Wh |
| 25 Sept 2026, 09:00 | openai | gpt-5.6-sol | - | - | 44,489 / 6,741 | - | €0.47 | 51 g | 598 mL | 116 Wh |
| 25 Sept 2026, 08:42 | anthropic | opus | data-pipeline | - | 116,395 / 20,930 | - | €3.36 | 122 g | 1.9 L | 324 Wh |
| 25 Sept 2026, 08:18 | anthropic | opus | dbt-models | - | 9,397 / 1,939 | - | €0.33 | 12 g | 193 mL | 33 Wh |
| 25 Sept 2026, 08:00 | openai | gpt-5.6-sol | - | - | 126,304 / 19,137 | - | €1.32 | 145 g | 1.7 L | 328 Wh |
| 25 Sept 2026, 08:00 | openai | gpt-5.6-sol | - | - | 22,456 / 3,402 | - | €0.24 | 26 g | 302 mL | 58 Wh |