| Top teams | CO₂ | Change |
|---|---|---|
| Engineering· 18 | 401.6 kg | 67% |
| Data· 14 | 141.1 kg | 35% |
| Design· 8▲1 | 19.6 kg | 261% |
| Product· 10▼1 | 17.3 kg | 123% |
Whole organisation over the selected period and provider, selections aside.
| Model | Tokens | CO₂ | Cost | g CO₂e / M tok | € / M tok |
|---|---|---|---|---|---|
| Claude SonnetAnthropic | 38% | 19% | 28% | 10 g | €0.33 |
| Claude OpusAnthropic | 31% | 30% | 43% | 20 g | €0.64 |
| Claude HaikuAnthropic | 20% | 5% | 6% | 5 g | €0.13 |
| GPT-5.6 SolOpenAI | 5% | 22% | 9% | 99 g | €0.90 |
| Claude FableAnthropic | 4% | 8% | 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 | €0.40 |
| 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 | €11,155 | 359.7 kgderived |
| OpenAI | €1,374 | 142.4 kgderived |
| €148 | 69.4 kgderived | |
| Meta | €46 | 2.8 kgderived |
| DeepSeek | €2 | 10.6 kgderived |
| Feature | Cost | CO2 |
|---|---|---|
| Unattributed | €12,724 | 584.8 kgderived |
Subscriptions save you ~€5,515 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 →13 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 |
|---|
| 16 Sept 2026, 17:00 | openai | gpt-5.6-sol | - | - | 78,496 / 11,893 | - | €0.82 | 90 g | 1.1 L | 204 Wh |
| 16 Sept 2026, 17:00 | openai | gpt-5.6-sol | - | - | 68,454 / 10,372 | - | €0.72 | 78 g | 920 mL | 178 Wh |
| 16 Sept 2026, 17:00 | openai | gpt-5.6-terra | - | - | 72,333 / 10,960 | - | €0.40 | 27 g | 320 mL | 62 Wh |
| 16 Sept 2026, 17:00 | openai | gpt-5.6-sol | - | - | 43,670 / 6,617 | - | €0.46 | 50 g | 587 mL | 113 Wh |
| 16 Sept 2026, 17:00 | openai | gpt-5.6-sol | - | - | 17,536 / 2,657 | - | €0.18 | 20 g | 236 mL | 46 Wh |
| 16 Sept 2026, 16:49 | anthropic | opus | acme-app | - | 2,253 / 486 | - | €0.14 | 3 g | 48 mL | 8.03 Wh |
| 16 Sept 2026, 16:48 | anthropic | opus | acme-app | - | 47,865 / 12,107 | - | €3.03 | 69 g | 1.1 L | 184 Wh |
| 16 Sept 2026, 16:42 | anthropic | opus | mobile-app | - | 50,201 / 9,284 | - | €3.14 | 67 g | 1.1 L | 177 Wh |
| 16 Sept 2026, 16:38 | anthropic | opus | design-system | - | 31,774 / 6,058 | - | €1.58 | 36 g | 566 mL | 95 Wh |
| 16 Sept 2026, 16:32 | anthropic | sonnet | infra-terraform | - | 44,258 / 7,239 | - | €0.97 | 26 g | 408 mL | 69 Wh |
| 16 Sept 2026, 16:30 | anthropic | sonnet | roadmap-tools | - | 16,781 / 3,853 | - | €0.37 | 11 g | 169 mL | 28 Wh |
| 16 Sept 2026, 16:09 | anthropic | sonnet | dbt-models | - | 82,535 / 18,830 | - | €1.81 | 52 g | 828 mL | 139 Wh |
| 16 Sept 2026, 16:08 | anthropic | sonnet | spec-workshop | - | 173,622 / 38,538 | - | €4.52 | 124 g | 2.0 L | 329 Wh |
| 16 Sept 2026, 16:00 | openai | gpt-5.6-sol | - | - | 124,730 / 18,898 | - | €1.31 | 143 g | 1.7 L | 324 Wh |
| 16 Sept 2026, 16:00 | openai | gpt-5.6-sol | - | - | 92,136 / 13,960 | - | €0.97 | 106 g | 1.2 L | 239 Wh |
| 16 Sept 2026, 16:00 | anthropic | sonnet | - | - | 173,606 / 35,501 | - | €0.73 | 44 g | 692 mL | 116 Wh |
| 16 Sept 2026, 16:00 | openai | gpt-5.6-sol | - | - | 60,670 / 9,192 | - | €0.64 | 70 g | 815 mL | 158 Wh |
| 16 Sept 2026, 16:00 | openai | gpt-5.6-sol | - | - | 119,669 / 18,132 | - | €1.26 | 137 g | 1.6 L | 311 Wh |
| 16 Sept 2026, 15:53 | anthropic | opus | ml-experiments | - | 150,420 / 36,777 | - | €8.41 | 197 g | 3.1 L | 525 Wh |
| 16 Sept 2026, 15:34 | anthropic | opus | acme-app | - | 2,467 / 620 | - | €0.14 | 3 g | 53 mL | 8.91 Wh |