| Top teams | CO₂ | Change |
|---|---|---|
| Engineering· 18 | 363.8 kg | 46% |
| Data· 14 | 132.6 kg | 31% |
| Design· 8▲1 | 13.5 kg | 110% |
| Product· 10▼1 | 8.6 kg | 51% |
Whole organisation over the selected period and provider, selections aside.
| Model | Tokens | CO₂ | Cost | g CO₂e / M tok | € / M tok |
|---|---|---|---|---|---|
| Claude OpusAnthropic | 34% | 31% | 53% | 20 g | €0.90 |
| Claude SonnetAnthropic | 33% | 16% | 22% | 10 g | €0.36 |
| Claude HaikuAnthropic | 21% | 5% | 7% | 5 g | €0.19 |
| GPT-5.6 SolOpenAI | 5% | 23% | 8% | 99 g | €0.90 |
| Claude FableAnthropic | 3% | 6% | 7% | 40 g | €1.16 |
| GPT-5.6 TerraOpenAI | 2% | 2% | 1% | 32 g | €0.47 |
| Gemini 2.5 FlashGoogle | 1% | 9% | 1% | 149 g | €0.40 |
| 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 | €12,173 | 309 kgderived |
| OpenAI | €1,287 | 133.4 kgderived |
| €144 | 68.8 kgderived | |
| Meta | €51 | 3.1 kgderived |
| DeepSeek | €2 | 9.5 kgderived |
| Feature | Cost | CO2 |
|---|---|---|
| Unattributed | €13,657 | 523.9 kgderived |
Subscriptions save you ~€6,289 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 |
|---|
| 02 Oct 2026, 13:07 | anthropic | opus | acme-app | - | 1,045 / 254 | - | €0.05 | 1 g | 21 mL | 3.48 Wh |
| 02 Oct 2026, 13:00 | openai | gpt-5.6-terra | - | - | 16,707 / 2,531 | - | €0.09 | 6 g | 74 mL | 14 Wh |
| 02 Oct 2026, 13:00 | openai | gpt-5.6-sol | - | - | 80,422 / 12,185 | - | €0.84 | 92 g | 1.1 L | 209 Wh |
| 02 Oct 2026, 13:00 | openai | gpt-5.6-sol | - | - | 54,242 / 8,219 | - | €0.57 | 62 g | 729 mL | 141 Wh |
| 02 Oct 2026, 13:00 | openai | gpt-5.6-terra | - | - | 77,847 / 11,795 | - | €0.43 | 29 g | 344 mL | 67 Wh |
| 02 Oct 2026, 13:00 | openai | gpt-5.6-sol | - | - | 157,530 / 23,868 | - | €1.65 | 181 g | 2.1 L | 409 Wh |
| 02 Oct 2026, 12:49 | anthropic | sonnet | data-pipeline | - | 455 / 74 | - | €0.0081 | 0.227 g | 3.6 mL | 0.6 Wh |
| 02 Oct 2026, 12:40 | anthropic | opus | spec-workshop | - | 87 / 20 | - | €0.0049 | 0.113 g | 1.8 mL | 0.3 Wh |
| 02 Oct 2026, 12:31 | anthropic | opus | ml-experiments | - | 1,680 / 252 | - | €0.08 | 2 g | 27 mL | 4.53 Wh |
| 02 Oct 2026, 12:11 | anthropic | opus | acme-web | - | 88,932 / 18,649 | - | €6.21 | 132 g | 2.1 L | 352 Wh |
| 02 Oct 2026, 12:00 | openai | gpt-5.6-sol | - | - | 62,704 / 9,501 | - | €0.66 | 72 g | 843 mL | 163 Wh |
| 02 Oct 2026, 12:00 | openai | gpt-5.6-sol | - | - | 74,566 / 11,298 | - | €0.78 | 85 g | 1.0 L | 194 Wh |
| 02 Oct 2026, 12:00 | openai | gpt-5.6-sol | - | - | 29,701 / 4,500 | - | €0.31 | 34 g | 399 mL | 77 Wh |
| 02 Oct 2026, 12:00 | openai | gpt-5.6-sol | - | - | 57,335 / 8,687 | - | €0.60 | 66 g | 770 mL | 149 Wh |
| 02 Oct 2026, 12:00 | openai | gpt-5.6-terra | - | - | 12,411 / 1,881 | - | €0.07 | 5 g | 55 mL | 11 Wh |
| 02 Oct 2026, 12:00 | openai | gpt-5.6-terra | - | - | 85,015 / 12,881 | - | €0.47 | 32 g | 376 mL | 73 Wh |
| 02 Oct 2026, 12:00 | openai | gpt-5.6-sol | - | - | 170,154 / 25,781 | - | €1.78 | 195 g | 2.3 L | 442 Wh |
| 02 Oct 2026, 12:00 | openai | gpt-5.6-sol | - | - | 96,225 / 14,580 | - | €1.01 | 110 g | 1.3 L | 250 Wh |
| 02 Oct 2026, 12:00 | openai | gpt-5.6-sol | - | - | 61,492 / 9,317 | - | €0.64 | 70 g | 826 mL | 160 Wh |
| 02 Oct 2026, 11:57 | anthropic | sonnet | ml-experiments | - | 2,558 / 509 | - | €0.07 | 2 g | 29 mL | 4.83 Wh |