| 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% | 27% | 10 g | €0.35 |
| Claude OpusAnthropic | 31% | 30% | 44% | 20 g | €0.67 |
| Claude HaikuAnthropic | 22% | 5% | 8% | 5 g | €0.17 |
| GPT-5.6 SolOpenAI | 5% | 23% | 10% | 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 | €10,341 | 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 | €11,855 | 533.7 kgderived |
Subscriptions save you ~€4,675 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 |
|---|
| 28 Sept 2026, 19:24 | anthropic | opus | acme-api | - | 169,950 / 30,064 | - | €9.43 | 204 g | 3.2 L | 543 Wh |
| 28 Sept 2026, 19:07 | anthropic | opus | acme-app | - | 6,081 / 1,033 | - | €0.32 | 7 g | 109 mL | 18 Wh |
| 28 Sept 2026, 19:00 | openai | gpt-5.6-sol | - | - | 76,947 / 11,659 | - | €0.81 | 88 g | 1.0 L | 200 Wh |
| 28 Sept 2026, 19:00 | openai | gpt-5.6-sol | - | - | 39,227 / 5,943 | - | €0.41 | 45 g | 527 mL | 102 Wh |
| 28 Sept 2026, 19:00 | openai | gpt-5.6-sol | - | - | 99,868 / 15,132 | - | €1.05 | 114 g | 1.3 L | 259 Wh |
| 28 Sept 2026, 19:00 | openai | gpt-5.6-terra | - | - | 112,132 / 16,990 | - | €0.62 | 42 g | 496 mL | 96 Wh |
| 28 Sept 2026, 19:00 | openai | gpt-5.6-terra | - | - | 73,158 / 11,085 | - | €0.40 | 28 g | 323 mL | 63 Wh |
| 28 Sept 2026, 18:36 | anthropic | opus | dbt-models | - | 2,712 / 480 | - | €0.16 | 3 g | 53 mL | 8.96 Wh |
| 28 Sept 2026, 18:34 | anthropic | sonnet | acme-api | - | 23,959 / 5,799 | - | €0.63 | 18 g | 277 mL | 47 Wh |
| 28 Sept 2026, 18:34 | anthropic | opus | acme-app | - | 495,896 / 83,851 | - | €25.56 | 558 g | 8.8 L | 1.5 kWh |
| 28 Sept 2026, 18:29 | anthropic | sonnet | acme-api | - | 47,130 / 8,177 | - | €0.97 | 27 g | 422 mL | 71 Wh |
| 28 Sept 2026, 18:26 | anthropic | opus | acme-app | - | 2,328 / 556 | - | €0.14 | 3 g | 51 mL | 8.52 Wh |
| 28 Sept 2026, 18:19 | anthropic | opus | data-pipeline | - | 208 / 36 | - | €0.01 | 0.244 g | 3.9 mL | 0.65 Wh |
| 28 Sept 2026, 18:00 | openai | gpt-5.6-sol | - | - | 107,546 / 16,295 | - | €1.13 | 123 g | 1.4 L | 279 Wh |
| 28 Sept 2026, 18:00 | openai | gpt-5.6-sol | - | - | 134,757 / 20,418 | - | €1.41 | 154 g | 1.8 L | 350 Wh |
| 28 Sept 2026, 18:00 | openai | gpt-5.6-sol | - | - | 92,217 / 13,972 | - | €0.97 | 106 g | 1.2 L | 240 Wh |
| 28 Sept 2026, 18:00 | openai | gpt-5.6-terra | - | - | 50,217 / 7,609 | - | €0.28 | 19 g | 222 mL | 43 Wh |
| 28 Sept 2026, 18:00 | openai | gpt-5.6-sol | - | - | 128,611 / 19,487 | - | €1.35 | 147 g | 1.7 L | 334 Wh |
| 28 Sept 2026, 18:00 | openai | gpt-5.6-sol | - | - | 83,349 / 12,629 | - | €0.87 | 96 g | 1.1 L | 217 Wh |
| 28 Sept 2026, 17:57 | anthropic | sonnet | roadmap-tools | - | 155,352 / 30,585 | - | €2.83 | 83 g | 1.3 L | 220 Wh |