| 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, 15:06 | anthropic | opus | acme-api | - | 18,505 / 3,343 | - | €0.95 | 21 g | 332 mL | 56 Wh |
| 21 Sept 2026, 15:00 | openai | gpt-5.6-sol | - | - | 58,828 / 8,913 | - | €0.62 | 67 g | 791 mL | 153 Wh |
| 21 Sept 2026, 15:00 | openai | gpt-5.6-sol | - | - | 76,328 / 11,565 | - | €0.80 | 87 g | 1.0 L | 198 Wh |
| 21 Sept 2026, 15:00 | openai | gpt-5.6-sol | - | - | 55,345 / 8,386 | - | €0.58 | 63 g | 744 mL | 144 Wh |
| 21 Sept 2026, 15:00 | openai | gpt-5.6-terra | - | - | 130,256 / 19,736 | - | €0.72 | 49 g | 576 mL | 111 Wh |
| 21 Sept 2026, 15:00 | anthropic | sonnet | - | - | 134,471 / 29,326 | - | €0.60 | 36 g | 570 mL | 96 Wh |
| 21 Sept 2026, 14:57 | anthropic | haiku | dbt-models | - | 240,584 / 51,481 | - | €2.98 | 83 g | 1.3 L | 222 Wh |
| 21 Sept 2026, 14:53 | anthropic | haiku | roadmap-tools | - | 8,181 / 1,367 | - | €0.09 | 2 g | 38 mL | 6.4 Wh |
| 21 Sept 2026, 14:02 | anthropic | haiku | dbt-models | - | 10,288 / 2,409 | - | €0.12 | 4 g | 56 mL | 9.39 Wh |
| 21 Sept 2026, 14:00 | openai | gpt-5.6-sol | - | - | 67,213 / 10,184 | - | €0.70 | 77 g | 903 mL | 175 Wh |
| 21 Sept 2026, 14:00 | anthropic | haiku | - | - | 174,325 / 43,411 | - | €0.43 | 26 g | 418 mL | 70 Wh |
| 21 Sept 2026, 14:00 | openai | gpt-5.6-sol | - | - | 49,031 / 7,429 | - | €0.51 | 56 g | 659 mL | 127 Wh |
| 21 Sept 2026, 14:00 | openai | gpt-5.6-sol | - | - | 69,070 / 10,465 | - | €0.72 | 79 g | 928 mL | 179 Wh |
| 21 Sept 2026, 14:00 | openai | gpt-5.6-terra | - | - | 31,520 / 4,776 | - | €0.17 | 12 g | 139 mL | 27 Wh |
| 21 Sept 2026, 14:00 | openai | gpt-5.6-sol | - | - | 353,811 / 53,608 | - | €3.71 | 405 g | 4.8 L | 919 Wh |
| 21 Sept 2026, 14:00 | anthropic | sonnet | - | - | 159,014 / 32,377 | - | €0.69 | 41 g | 641 mL | 108 Wh |
| 21 Sept 2026, 14:00 | openai | gpt-5.6-terra | - | - | 69,074 / 10,466 | - | €0.38 | 26 g | 305 mL | 59 Wh |
| 21 Sept 2026, 13:46 | anthropic | opus | acme-app | - | 2,251 / 413 | - | €0.13 | 3 g | 44 mL | 7.36 Wh |
| 21 Sept 2026, 13:39 | anthropic | opus | acme-app | - | 1,323 / 304 | - | €0.09 | 2 g | 32 mL | 5.45 Wh |
| 21 Sept 2026, 13:26 | anthropic | sonnet | dbt-models | - | 784 / 147 | - | €0.02 | 0.428 g | 6.8 mL | 1.14 Wh |