| 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 |
|---|
| 06 Oct 2026, 19:00 | openai | gpt-5.6-terra | - | - | 58,448 / 8,856 | - | €0.32 | 22 g | 258 mL | 50 Wh |
| 06 Oct 2026, 18:00 | openai | gpt-5.6-terra | - | - | 68,311 / 10,350 | - | €0.38 | 26 g | 302 mL | 58 Wh |
| 06 Oct 2026, 18:00 | openai | gpt-5.6-sol | - | - | 118,221 / 17,912 | - | €1.24 | 135 g | 1.6 L | 307 Wh |
| 06 Oct 2026, 18:00 | openai | gpt-5.6-sol | - | - | 28,431 / 4,308 | - | €0.30 | 33 g | 382 mL | 74 Wh |
| 06 Oct 2026, 17:59 | anthropic | sonnet | acme-web | - | 44,301 / 8,088 | - | €0.82 | 24 g | 372 mL | 63 Wh |
| 06 Oct 2026, 17:49 | anthropic | opus | ml-experiments | - | 17,191 / 3,461 | - | €0.76 | 18 g | 285 mL | 48 Wh |
| 06 Oct 2026, 17:44 | anthropic | opus | acme-app | - | 1,523 / 396 | - | €0.10 | 2 g | 36 mL | 5.99 Wh |
| 06 Oct 2026, 17:42 | anthropic | sonnet | dbt-models | - | 2,505 / 566 | - | €0.06 | 2 g | 27 mL | 4.59 Wh |
| 06 Oct 2026, 17:17 | anthropic | opus | acme-app | - | 3,925 / 835 | - | €0.19 | 4 g | 71 mL | 12 Wh |
| 06 Oct 2026, 17:00 | openai | gpt-5.6-sol | - | - | 394,397 / 59,757 | - | €4.14 | 452 g | 5.3 L | 1.0 kWh |
| 06 Oct 2026, 17:00 | openai | gpt-5.6-sol | - | - | 136,448 / 20,674 | - | €1.43 | 156 g | 1.8 L | 355 Wh |
| 06 Oct 2026, 17:00 | openai | gpt-5.6-terra | - | - | 24,153 / 3,659 | - | €0.13 | 9 g | 107 mL | 21 Wh |
| 06 Oct 2026, 17:00 | openai | gpt-5.6-sol | - | - | 44,936 / 6,809 | - | €0.47 | 51 g | 604 mL | 117 Wh |
| 06 Oct 2026, 17:00 | openai | gpt-5.6-sol | - | - | 139,557 / 21,145 | - | €1.46 | 160 g | 1.9 L | 363 Wh |
| 06 Oct 2026, 16:57 | anthropic | opus | acme-app | - | 8,742 / 1,581 | - | €0.48 | 11 g | 167 mL | 28 Wh |
| 06 Oct 2026, 16:50 | anthropic | sonnet | acme-app | - | 304,361 / 49,389 | - | €5.84 | 161 g | 2.5 L | 427 Wh |
| 06 Oct 2026, 16:42 | anthropic | opus | acme-api | - | 484 / 103 | - | €0.03 | 0.589 g | 9.3 mL | 1.57 Wh |
| 06 Oct 2026, 16:35 | anthropic | sonnet | spec-workshop | - | 26,110 / 4,372 | - | €0.49 | 14 g | 216 mL | 36 Wh |
| 06 Oct 2026, 16:32 | anthropic | opus | acme-app | - | 219,813 / 37,772 | - | €11.12 | 245 g | 3.9 L | 650 Wh |
| 06 Oct 2026, 16:31 | anthropic | sonnet | dbt-models | - | 17,783 / 3,852 | - | €0.47 | 13 g | 201 mL | 34 Wh |