| 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 |
|---|
| 05 Oct 2026, 09:55 | anthropic | sonnet | data-pipeline | - | 6,233 / 1,213 | - | €0.12 | 3 g | 54 mL | 9.14 Wh |
| 05 Oct 2026, 09:54 | anthropic | sonnet | spec-workshop | - | 337,370 / 63,390 | - | €7.34 | 202 g | 3.2 L | 538 Wh |
| 05 Oct 2026, 09:30 | anthropic | sonnet | acme-web | - | 26,024 / 7,109 | - | €0.70 | 20 g | 318 mL | 54 Wh |
| 05 Oct 2026, 09:29 | anthropic | sonnet | acme-app | - | 43,388 / 9,010 | - | €0.99 | 28 g | 438 mL | 74 Wh |
| 05 Oct 2026, 09:23 | anthropic | sonnet | spec-workshop | - | 183 / 39 | - | €0.0044 | 0.121 g | 1.9 mL | 0.32 Wh |
| 05 Oct 2026, 09:18 | anthropic | opus | acme-app | - | 3,286 / 667 | - | €0.19 | 4 g | 66 mL | 11 Wh |
| 05 Oct 2026, 09:09 | anthropic | haiku | acme-api | - | 80,957 / 20,756 | - | €1.01 | 30 g | 468 mL | 79 Wh |
| 05 Oct 2026, 09:00 | anthropic | opus | acme-app | - | 5,466 / 1,239 | - | €0.29 | 7 g | 106 mL | 18 Wh |
| 05 Oct 2026, 09:00 | openai | gpt-5.6-sol | - | - | 144,862 / 21,949 | - | €1.52 | 166 g | 1.9 L | 376 Wh |
| 05 Oct 2026, 09:00 | openai | gpt-5.6-sol | - | - | 89,528 / 13,565 | - | €0.94 | 103 g | 1.2 L | 233 Wh |
| 05 Oct 2026, 09:00 | openai | gpt-5.6-terra | - | - | 274,980 / 41,664 | - | €1.51 | 104 g | 1.2 L | 235 Wh |
| 05 Oct 2026, 08:27 | anthropic | opus | acme-app | - | 650 / 159 | - | €0.04 | 0.898 g | 14 mL | 2.39 Wh |
| 05 Oct 2026, 08:25 | anthropic | opus | acme-api | - | 252,651 / 53,200 | - | €16.18 | 352 g | 5.6 L | 936 Wh |
| 05 Oct 2026, 08:05 | anthropic | opus | acme-api | - | 879 / 205 | - | €0.06 | 1 g | 20 mL | 3.35 Wh |
| 05 Oct 2026, 07:58 | anthropic | haiku | spec-workshop | - | 71,578 / 11,448 | - | €0.65 | 18 g | 292 mL | 49 Wh |
| 05 Oct 2026, 07:36 | anthropic | opus | data-pipeline | - | 104,141 / 21,029 | - | €5.31 | 121 g | 1.9 L | 323 Wh |
| 05 Oct 2026, 07:34 | anthropic | sonnet | acme-api | - | 55,139 / 12,708 | - | €1.11 | 33 g | 523 mL | 88 Wh |
| 05 Oct 2026, 07:00 | anthropic | opus | dbt-models | - | 123 / 32 | - | €0.0079 | 0.182 g | 2.9 mL | 0.48 Wh |
| 05 Oct 2026, 06:26 | anthropic | opus | dbt-models | - | 51,956 / 9,320 | - | €2.82 | 62 g | 973 mL | 164 Wh |
| 05 Oct 2026, 02:00 | meta | llama-3.3-70b-instruct | - | - | 3,193,862 / 319,386 | - | €1.87 | 114 g | 1.8 L | 303 Wh |