| Top teams | CO₂ | Change |
|---|---|---|
| Engineering· 18 | 345.1 kg | 35% |
| Data· 14 | 129.9 kg | 22% |
| Design· 8▲1 | 17.3 kg | 235% |
| Product· 10▼1 | 16.9 kg | 124% |
Whole organisation over the selected period and provider, selections aside.
| Model | Tokens | CO₂ | Cost | g CO₂e / M tok | € / M tok |
|---|---|---|---|---|---|
| Claude SonnetAnthropic | 38% | 18% | 28% | 10 g | €0.34 |
| Claude OpusAnthropic | 33% | 31% | 46% | 20 g | €0.65 |
| Claude HaikuAnthropic | 18% | 4% | 6% | 5 g | €0.16 |
| GPT-5.6 SolOpenAI | 5% | 22% | 9% | 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 | €9,936 | 309.1 kgderived |
| OpenAI | €1,215 | 126 kgderived |
| €139 | 65.7 kgderived | |
| Meta | €46 | 2.8 kgderived |
| DeepSeek | €2 | 10.6 kgderived |
| Feature | Cost | CO2 |
|---|---|---|
| Unattributed | €11,338 | 514.2 kgderived |
Subscriptions save you ~€4,291 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 |
|---|
| 23 Sept 2026, 12:01 | anthropic | opus | data-pipeline | - | 40,693 / 10,083 | - | €1.51 | 55 g | 867 mL | 146 Wh |
| 23 Sept 2026, 12:01 | anthropic | opus | mobile-app | - | 144,261 / 32,676 | - | €6.28 | 219 g | 3.5 L | 583 Wh |
| 23 Sept 2026, 12:00 | openai | gpt-5.6-sol | - | - | 195,316 / 29,593 | - | €2.05 | 224 g | 2.6 L | 507 Wh |
| 23 Sept 2026, 12:00 | openai | gpt-5.6-sol | - | - | 193,400 / 29,303 | - | €2.03 | 222 g | 2.6 L | 503 Wh |
| 23 Sept 2026, 12:00 | openai | gpt-5.6-sol | - | - | 82,868 / 12,556 | - | €0.87 | 95 g | 1.1 L | 215 Wh |
| 23 Sept 2026, 12:00 | openai | gpt-5.6-sol | - | - | 40,449 / 6,129 | - | €0.42 | 46 g | 544 mL | 105 Wh |
| 23 Sept 2026, 12:00 | openai | gpt-5.6-terra | - | - | 88,245 / 13,370 | - | €0.49 | 33 g | 390 mL | 75 Wh |
| 23 Sept 2026, 11:59 | anthropic | opus | acme-api | - | 89,816 / 17,033 | - | €2.73 | 99 g | 1.6 L | 263 Wh |
| 23 Sept 2026, 11:53 | anthropic | haiku | acme-api | - | 191,129 / 32,016 | - | €1.84 | 52 g | 819 mL | 138 Wh |
| 23 Sept 2026, 11:52 | anthropic | haiku | dbt-models | - | 12,156 / 2,561 | - | €0.15 | 4 g | 67 mL | 11 Wh |
| 23 Sept 2026, 11:47 | anthropic | opus | acme-app | - | 1,564 / 368 | - | €0.05 | 2 g | 31 mL | 5.23 Wh |
| 23 Sept 2026, 11:38 | anthropic | sonnet | acme-app | - | 13,972 / 3,739 | - | €0.31 | 9 g | 149 mL | 25 Wh |
| 23 Sept 2026, 11:05 | anthropic | opus | acme-api | - | 18,390 / 3,074 | - | €0.54 | 19 g | 301 mL | 51 Wh |
| 23 Sept 2026, 11:00 | openai | gpt-5.6-sol | - | - | 41,492 / 6,287 | - | €0.44 | 48 g | 558 mL | 108 Wh |
| 23 Sept 2026, 11:00 | openai | gpt-5.6-terra | - | - | 59,497 / 9,015 | - | €0.33 | 22 g | 263 mL | 51 Wh |
| 23 Sept 2026, 11:00 | openai | gpt-5.6-sol | - | - | 171,207 / 25,940 | - | €1.80 | 196 g | 2.3 L | 445 Wh |
| 23 Sept 2026, 11:00 | openai | gpt-5.6-terra | - | - | 157,613 / 23,881 | - | €0.87 | 59 g | 697 mL | 135 Wh |
| 23 Sept 2026, 10:20 | anthropic | sonnet | mobile-app | - | 247,658 / 53,409 | - | €6.18 | 170 g | 2.7 L | 453 Wh |
| 23 Sept 2026, 10:17 | anthropic | opus | acme-app | - | 26,361 / 6,368 | - | €1.02 | 36 g | 570 mL | 96 Wh |
| 23 Sept 2026, 10:16 | anthropic | haiku | infra-terraform | - | 194,054 / 34,526 | - | €1.83 | 53 g | 832 mL | 140 Wh |