| 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 |
|---|
| 15 Sept 2026, 16:37 | anthropic | fable | acme-app | - | 2,487 / 419 | - | €0.17 | 6 g | 91 mL | 15 Wh |
| 15 Sept 2026, 16:34 | anthropic | opus | data-pipeline | - | 366 / 53 | - | €0.02 | 0.367 g | 5.8 mL | 0.98 Wh |
| 15 Sept 2026, 16:29 | anthropic | sonnet | dbt-models | - | 5,533 / 1,136 | - | €0.14 | 4 g | 61 mL | 10 Wh |
| 15 Sept 2026, 16:00 | anthropic | opus | dbt-models | - | 49,887 / 9,683 | - | €2.78 | 61 g | 971 mL | 163 Wh |
| 15 Sept 2026, 16:00 | openai | gpt-5.6-sol | - | - | 65,216 / 9,881 | - | €0.68 | 75 g | 876 mL | 169 Wh |
| 15 Sept 2026, 16:00 | openai | gpt-5.6-sol | - | - | 246,774 / 37,390 | - | €2.59 | 283 g | 3.3 L | 641 Wh |
| 15 Sept 2026, 16:00 | openai | gpt-5.6-sol | - | - | 60,451 / 9,159 | - | €0.63 | 69 g | 812 mL | 157 Wh |
| 15 Sept 2026, 16:00 | openai | gpt-5.6-sol | - | - | 13,358 / 2,024 | - | €0.14 | 15 g | 180 mL | 35 Wh |
| 15 Sept 2026, 16:00 | openai | gpt-5.6-sol | - | - | 166,858 / 25,282 | - | €1.75 | 191 g | 2.2 L | 434 Wh |
| 15 Sept 2026, 16:00 | openai | gpt-5.6-terra | - | - | 60,255 / 9,130 | - | €0.33 | 23 g | 266 mL | 51 Wh |
| 15 Sept 2026, 15:32 | anthropic | opus | acme-app | - | 206 / 34 | - | €0.01 | 0.238 g | 3.8 mL | 0.63 Wh |
| 15 Sept 2026, 15:32 | anthropic | fable | mobile-app | - | 5,941 / 1,204 | - | €0.48 | 15 g | 241 mL | 41 Wh |
| 15 Sept 2026, 15:14 | anthropic | opus | ml-experiments | - | 31,014 / 6,038 | - | €1.68 | 37 g | 592 mL | 100 Wh |
| 15 Sept 2026, 15:07 | anthropic | haiku | dbt-models | - | 3,711 / 853 | - | €0.03 | 1 g | 17 mL | 2.86 Wh |
| 15 Sept 2026, 15:02 | anthropic | opus | acme-app | - | 50 / 20 | - | €0.0026 | 0.074 g | 1.2 mL | 0.2 Wh |
| 15 Sept 2026, 15:00 | anthropic | haiku | - | - | 174,370 / 37,499 | - | €0.41 | 24 g | 377 mL | 63 Wh |
| 15 Sept 2026, 15:00 | openai | gpt-5.6-sol | - | - | 106,029 / 16,065 | - | €1.11 | 121 g | 1.4 L | 275 Wh |
| 15 Sept 2026, 15:00 | openai | gpt-5.6-sol | - | - | 207,802 / 31,485 | - | €2.18 | 238 g | 2.8 L | 540 Wh |
| 15 Sept 2026, 15:00 | openai | gpt-5.6-sol | - | - | 51,346 / 7,780 | - | €0.54 | 59 g | 690 mL | 133 Wh |
| 15 Sept 2026, 15:00 | openai | gpt-5.6-sol | - | - | 96,800 / 14,667 | - | €1.02 | 111 g | 1.3 L | 252 Wh |