| 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 |
|---|
| 17 Sept 2026, 15:54 | anthropic | haiku | acme-web | - | 16,984 / 3,838 | - | €0.19 | 5 g | 86 mL | 14 Wh |
| 17 Sept 2026, 15:49 | anthropic | sonnet | dbt-models | - | 46,234 / 14,175 | - | €1.30 | 38 g | 600 mL | 101 Wh |
| 17 Sept 2026, 15:44 | anthropic | opus | dbt-models | - | 258 / 57 | - | €0.01 | 0.309 g | 4.9 mL | 0.82 Wh |
| 17 Sept 2026, 15:44 | anthropic | opus | acme-app | - | 3,515 / 703 | - | €0.17 | 4 g | 63 mL | 11 Wh |
| 17 Sept 2026, 15:38 | anthropic | opus | design-system | - | 4,123 / 880 | - | €0.26 | 6 g | 90 mL | 15 Wh |
| 17 Sept 2026, 15:29 | anthropic | sonnet | ml-experiments | - | 2,020 / 286 | - | €0.03 | 0.923 g | 15 mL | 2.45 Wh |
| 17 Sept 2026, 15:28 | anthropic | sonnet | acme-app | - | 167,429 / 38,233 | - | €3.68 | 106 g | 1.7 L | 283 Wh |
| 17 Sept 2026, 15:16 | anthropic | opus | ml-experiments | - | 1,145 / 233 | - | €0.06 | 1 g | 22 mL | 3.62 Wh |
| 17 Sept 2026, 15:09 | anthropic | opus | data-pipeline | - | 10,533 / 1,594 | - | €0.51 | 11 g | 175 mL | 29 Wh |
| 17 Sept 2026, 15:09 | anthropic | haiku | data-pipeline | - | 760,919 / 125,488 | - | €7.10 | 201 g | 3.2 L | 534 Wh |
| 17 Sept 2026, 15:00 | openai | gpt-5.6-terra | - | - | 51,480 / 7,800 | - | €0.28 | 19 g | 228 mL | 44 Wh |
| 17 Sept 2026, 15:00 | openai | gpt-5.6-sol | - | - | 65,287 / 9,892 | - | €0.68 | 75 g | 877 mL | 170 Wh |
| 17 Sept 2026, 15:00 | openai | gpt-5.6-sol | - | - | 75,790 / 11,483 | - | €0.79 | 87 g | 1.0 L | 197 Wh |
| 17 Sept 2026, 15:00 | openai | gpt-5.6-terra | - | - | 92,673 / 14,041 | - | €0.51 | 35 g | 410 mL | 79 Wh |
| 17 Sept 2026, 15:00 | openai | gpt-5.6-sol | - | - | 160,863 / 24,373 | - | €1.69 | 184 g | 2.2 L | 418 Wh |
| 17 Sept 2026, 15:00 | openai | gpt-5.6-sol | - | - | 61,346 / 9,295 | - | €0.64 | 70 g | 824 mL | 159 Wh |
| 17 Sept 2026, 15:00 | openai | gpt-5.6-terra | - | - | 133,839 / 20,279 | - | €0.74 | 50 g | 592 mL | 114 Wh |
| 17 Sept 2026, 15:00 | openai | gpt-5.6-sol | - | - | 93,827 / 14,216 | - | €0.98 | 108 g | 1.3 L | 244 Wh |
| 17 Sept 2026, 15:00 | openai | gpt-5.6-sol | - | - | 155,141 / 23,506 | - | €1.63 | 178 g | 2.1 L | 403 Wh |
| 17 Sept 2026, 14:44 | anthropic | fable | data-pipeline | - | 394,377 / 72,463 | - | €26.64 | 892 g | 14.1 L | 2.4 kWh |