| 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 |
|---|
| 17 Sept 2026, 10:00 | openai | gpt-5.6-sol | - | - | 76,997 / 11,666 | - | €0.81 | 88 g | 1.0 L | 200 Wh |
| 17 Sept 2026, 09:39 | anthropic | opus | acme-api | - | 21,179 / 4,227 | - | €1.07 | 24 g | 385 mL | 65 Wh |
| 17 Sept 2026, 09:38 | anthropic | haiku | dbt-models | - | 11,140 / 2,435 | - | €0.12 | 4 g | 56 mL | 9.43 Wh |
| 17 Sept 2026, 09:37 | anthropic | opus | acme-app | - | 42,876 / 9,736 | - | €2.56 | 58 g | 913 mL | 154 Wh |
| 17 Sept 2026, 09:24 | anthropic | opus | acme-web | - | 33,454 / 7,907 | - | €1.93 | 44 g | 703 mL | 118 Wh |
| 17 Sept 2026, 09:23 | anthropic | sonnet | brand-site | - | 8,204 / 2,446 | - | €0.22 | 6 g | 101 mL | 17 Wh |
| 17 Sept 2026, 09:22 | anthropic | opus | acme-app | - | 6,264 / 1,543 | - | €0.37 | 9 g | 136 mL | 23 Wh |
| 17 Sept 2026, 09:18 | anthropic | opus | data-pipeline | - | 4,504 / 1,003 | - | €0.25 | 6 g | 91 mL | 15 Wh |
| 17 Sept 2026, 09:17 | anthropic | sonnet | roadmap-tools | - | 29,017 / 7,849 | - | €0.75 | 22 g | 342 mL | 58 Wh |
| 17 Sept 2026, 09:14 | anthropic | sonnet | dbt-models | - | 142,057 / 34,561 | - | €3.25 | 95 g | 1.5 L | 252 Wh |
| 17 Sept 2026, 09:02 | anthropic | sonnet | spec-workshop | - | 31,659 / 7,160 | - | €0.80 | 22 g | 352 mL | 59 Wh |
| 17 Sept 2026, 09:00 | openai | gpt-5.6-sol | - | - | 59,215 / 8,972 | - | €0.62 | 68 g | 796 mL | 154 Wh |
| 17 Sept 2026, 09:00 | openai | gpt-5.6-terra | - | - | 48,040 / 7,279 | - | €0.26 | 18 g | 212 mL | 41 Wh |
| 17 Sept 2026, 09:00 | openai | gpt-5.6-terra | - | - | 32,132 / 4,868 | - | €0.18 | 12 g | 142 mL | 27 Wh |
| 17 Sept 2026, 09:00 | openai | gpt-5.6-sol | - | - | 48,342 / 7,324 | - | €0.51 | 55 g | 650 mL | 126 Wh |
| 17 Sept 2026, 08:38 | anthropic | opus | acme-api | - | 2,953 / 685 | - | €0.16 | 4 g | 58 mL | 9.72 Wh |
| 17 Sept 2026, 08:23 | anthropic | opus | dbt-models | - | 3,556 / 571 | - | €0.16 | 4 g | 57 mL | 9.53 Wh |
| 17 Sept 2026, 08:19 | anthropic | sonnet | roadmap-tools | - | 91,649 / 23,637 | - | €2.36 | 68 g | 1.1 L | 179 Wh |
| 17 Sept 2026, 08:09 | anthropic | opus | spec-workshop | - | 30,371 / 7,676 | - | €1.66 | 40 g | 626 mL | 105 Wh |
| 17 Sept 2026, 08:00 | openai | gpt-5.6-sol | - | - | 119,642 / 18,128 | - | €1.25 | 137 g | 1.6 L | 311 Wh |