| Top teams | CO₂ | Change |
|---|---|---|
| Engineering· 18 | 356.4 kg | 46% |
| Data· 14 | 136.6 kg | 31% |
| Design· 8▲1 | 17.7 kg | 252% |
| Product· 10▼1 | 16.7 kg | 119% |
Whole organisation over the selected period and provider, selections aside.
| Model | Tokens | CO₂ | Cost | g CO₂e / M tok | € / M tok |
|---|---|---|---|---|---|
| Claude SonnetAnthropic | 37% | 18% | 28% | 10 g | €0.34 |
| Claude OpusAnthropic | 32% | 31% | 45% | 20 g | €0.65 |
| Claude HaikuAnthropic | 18% | 4% | 6% | 5 g | €0.15 |
| GPT-5.6 SolOpenAI | 5% | 23% | 9% | 99 g | €0.90 |
| Claude FableAnthropic | 4% | 7% | 9% | 40 g | €1.17 |
| GPT-5.6 TerraOpenAI | 1% | 2% | 2% | 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 | €10,169 | 318.7 kgderived |
| OpenAI | €1,274 | 132 kgderived |
| €145 | 68.5 kgderived | |
| Meta | €45 | 2.8 kgderived |
| DeepSeek | €2 | 10.6 kgderived |
| Feature | Cost | CO2 |
|---|---|---|
| Unattributed | €11,634 | 532.5 kgderived |
Subscriptions save you ~€4,517 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 →14 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 |
|---|
| 21 Sept 2026, 13:23 | anthropic | opus | acme-api | - | 134,433 / 23,825 | - | €6.48 | 145 g | 2.3 L | 387 Wh |
| 21 Sept 2026, 13:01 | anthropic | opus | acme-app | - | 1,703 / 352 | - | €0.11 | 2 g | 37 mL | 6.14 Wh |
| 21 Sept 2026, 13:00 | openai | gpt-5.6-sol | - | - | 53,838 / 8,157 | - | €0.56 | 62 g | 723 mL | 140 Wh |
| 21 Sept 2026, 13:00 | openai | gpt-5.6-terra | - | - | 283,073 / 42,890 | - | €1.56 | 107 g | 1.3 L | 242 Wh |
| 21 Sept 2026, 13:00 | openai | gpt-5.6-sol | - | - | 457,306 / 69,289 | - | €4.80 | 524 g | 6.1 L | 1.2 kWh |
| 21 Sept 2026, 13:00 | openai | gpt-5.6-terra | - | - | 144,952 / 21,962 | - | €0.80 | 55 g | 641 mL | 124 Wh |
| 21 Sept 2026, 13:00 | openai | gpt-5.6-sol | - | - | 55,694 / 8,439 | - | €0.58 | 64 g | 748 mL | 145 Wh |
| 21 Sept 2026, 13:00 | openai | gpt-5.6-sol | - | - | 64,972 / 9,844 | - | €0.68 | 74 g | 873 mL | 169 Wh |
| 21 Sept 2026, 12:52 | anthropic | sonnet | dbt-models | - | 522,852 / 83,348 | - | €11.07 | 296 g | 4.7 L | 787 Wh |
| 21 Sept 2026, 12:32 | anthropic | sonnet | ml-experiments | - | 1,783 / 363 | - | €0.04 | 1 g | 18 mL | 3.01 Wh |
| 21 Sept 2026, 12:00 | openai | gpt-5.6-terra | - | - | 18,235 / 2,763 | - | €0.10 | 7 g | 81 mL | 16 Wh |
| 21 Sept 2026, 12:00 | openai | gpt-5.6-sol | - | - | 130,390 / 19,756 | - | €1.37 | 149 g | 1.8 L | 339 Wh |
| 21 Sept 2026, 12:00 | openai | gpt-5.6-sol | - | - | 34,015 / 5,154 | - | €0.36 | 39 g | 457 mL | 88 Wh |
| 21 Sept 2026, 12:00 | openai | gpt-5.6-sol | - | - | 85,677 / 12,981 | - | €0.90 | 98 g | 1.2 L | 223 Wh |
| 21 Sept 2026, 12:00 | openai | gpt-5.6-sol | - | - | 28,110 / 4,259 | - | €0.29 | 32 g | 378 mL | 73 Wh |
| 21 Sept 2026, 11:46 | anthropic | opus | data-pipeline | - | 11,204 / 2,347 | - | €0.66 | 15 g | 232 mL | 39 Wh |
| 21 Sept 2026, 11:45 | anthropic | opus | acme-app | - | 31,369 / 7,041 | - | €1.84 | 42 g | 656 mL | 110 Wh |
| 21 Sept 2026, 11:33 | anthropic | fable | dbt-models | - | 38,326 / 6,693 | - | €2.96 | 90 g | 1.4 L | 239 Wh |
| 21 Sept 2026, 11:25 | anthropic | sonnet | mobile-app | - | 37,155 / 8,113 | - | €0.75 | 22 g | 347 mL | 58 Wh |
| 21 Sept 2026, 11:22 | anthropic | sonnet | acme-app | - | 22,473 / 3,743 | - | €0.46 | 13 g | 199 mL | 33 Wh |