| Top teams | CO₂ | Change |
|---|---|---|
| Engineering· 18 | 362.2 kg | 39% |
| Data· 14 | 133 kg | 28% |
| Design· 8▲1 | 16.5 kg | 158% |
| Product· 10▼1 | 16.5 kg | 10% |
Whole organisation over the selected period and provider, selections aside.
| Model | Tokens | CO₂ | Cost | g CO₂e / M tok | € / M tok |
|---|---|---|---|---|---|
| Claude SonnetAnthropic | 36% | 18% | 24% | 10 g | €0.36 |
| Claude OpusAnthropic | 31% | 30% | 50% | 20 g | €0.90 |
| Claude HaikuAnthropic | 22% | 5% | 7% | 5 g | €0.18 |
| GPT-5.6 SolOpenAI | 5% | 23% | 8% | 99 g | €0.90 |
| Claude FableAnthropic | 3% | 6% | 7% | 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 FlashDeepSeek | 0% | 2% | 0% | 1.8 kg | €0.39 |
List price and CO₂e per million generated tokens, for the 26 current registry models. Your models are filled, the others hollow.
| Provider | Cost | CO2 |
|---|---|---|
| Anthropic | €12,349 | 315.1 kgderived |
| OpenAI | €1,316 | 136.7 kgderived |
| €147 | 69.3 kgderived | |
| Meta | €50 | 3.1 kgderived |
| DeepSeek | €2 | 9.5 kgderived |
| Feature | Cost | CO2 |
|---|---|---|
| Unattributed | €13,864 | 533.7 kgderived |
Subscriptions save you ~€6,473 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 |
|---|
| 30 Sept 2026, 12:00 | openai | gpt-5.6-terra | - | - | 124,977 / 18,936 | - | €0.69 | 47 g | 552 mL | 107 Wh |
| 30 Sept 2026, 11:53 | anthropic | sonnet | ml-experiments | - | 16,212 / 3,078 | - | €0.29 | 8 g | 133 mL | 22 Wh |
| 30 Sept 2026, 11:51 | anthropic | opus | mobile-app | - | 37,949 / 7,878 | - | €1.91 | 44 g | 698 mL | 117 Wh |
| 30 Sept 2026, 11:33 | anthropic | fable | acme-app | - | 88,354 / 17,524 | - | €7.36 | 242 g | 3.8 L | 642 Wh |
| 30 Sept 2026, 11:14 | anthropic | opus | mobile-app | - | 18,724 / 3,132 | - | €0.81 | 18 g | 291 mL | 49 Wh |
| 30 Sept 2026, 11:11 | anthropic | opus | acme-api | - | 23,479 / 4,958 | - | €1.47 | 32 g | 508 mL | 85 Wh |
| 30 Sept 2026, 11:01 | anthropic | sonnet | data-pipeline | - | 114,493 / 31,878 | - | €2.80 | 83 g | 1.3 L | 221 Wh |
| 30 Sept 2026, 11:00 | openai | gpt-5.6-sol | - | - | 46,317 / 7,018 | - | €0.49 | 53 g | 622 mL | 120 Wh |
| 30 Sept 2026, 11:00 | openai | gpt-5.6-sol | - | - | 56,467 / 8,556 | - | €0.59 | 65 g | 759 mL | 147 Wh |
| 30 Sept 2026, 11:00 | openai | gpt-5.6-terra | - | - | 57,944 / 8,779 | - | €0.32 | 22 g | 256 mL | 50 Wh |
| 30 Sept 2026, 11:00 | openai | gpt-5.6-sol | - | - | 262,995 / 39,848 | - | €2.76 | 301 g | 3.5 L | 683 Wh |
| 30 Sept 2026, 11:00 | openai | gpt-5.6-terra | - | - | 40,203 / 6,091 | - | €0.22 | 15 g | 178 mL | 34 Wh |
| 30 Sept 2026, 10:58 | anthropic | sonnet | acme-app | - | 1,789 / 388 | - | €0.04 | 1 g | 19 mL | 3.13 Wh |
| 30 Sept 2026, 10:57 | anthropic | opus | data-pipeline | - | 4,767 / 1,288 | - | €0.32 | 7 g | 117 mL | 20 Wh |
| 30 Sept 2026, 10:53 | anthropic | opus | acme-app | - | 6,031,487 / 1,563,300 | - | €377.31 | 8.7 kg | 138 L | 23.2 kWh |
| 30 Sept 2026, 10:46 | anthropic | opus | data-pipeline | - | 4,211 / 1,113 | - | €0.24 | 6 g | 92 mL | 15 Wh |
| 30 Sept 2026, 10:37 | anthropic | opus | acme-api | - | 341 / 88 | - | €0.02 | 0.483 g | 7.6 mL | 1.28 Wh |
| 30 Sept 2026, 10:17 | anthropic | sonnet | acme-app | - | 29,950 / 8,712 | - | €0.82 | 24 g | 378 mL | 64 Wh |
| 30 Sept 2026, 10:11 | anthropic | haiku | mobile-app | - | 1,271 / 247 | - | €0.01 | 0.373 g | 5.9 mL | 0.99 Wh |
| 30 Sept 2026, 10:05 | anthropic | haiku | data-pipeline | - | 53,752 / 10,687 | - | €0.59 | 17 g | 265 mL | 45 Wh |