| 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 |
|---|
| 22 Sept 2026, 18:53 | anthropic | opus | roadmap-tools | - | 7,876 / 1,698 | - | €0.29 | 10 g | 163 mL | 27 Wh |
| 22 Sept 2026, 18:48 | anthropic | haiku | acme-web | - | 265,528 / 43,648 | - | €2.71 | 75 g | 1.2 L | 199 Wh |
| 22 Sept 2026, 18:40 | anthropic | sonnet | acme-api | - | 662 / 123 | - | €0.01 | 0.339 g | 5.4 mL | 0.9 Wh |
| 22 Sept 2026, 18:37 | anthropic | haiku | spec-workshop | - | 7,047 / 1,669 | - | €0.08 | 2 g | 37 mL | 6.27 Wh |
| 22 Sept 2026, 18:30 | anthropic | opus | ml-experiments | - | 5,279 / 1,278 | - | €0.19 | 7 g | 112 mL | 19 Wh |
| 22 Sept 2026, 18:11 | anthropic | sonnet | dbt-models | - | 6,747 / 1,502 | - | €0.15 | 4 g | 67 mL | 11 Wh |
| 22 Sept 2026, 18:07 | anthropic | haiku | acme-api | - | 38,836 / 8,578 | - | €0.42 | 12 g | 194 mL | 33 Wh |
| 22 Sept 2026, 18:06 | anthropic | sonnet | roadmap-tools | - | 143,085 / 33,050 | - | €3.24 | 93 g | 1.5 L | 248 Wh |
| 22 Sept 2026, 18:05 | anthropic | opus | acme-app | - | 1,041,299 / 215,680 | - | €35.46 | 1.3 kg | 20.4 L | 3.4 kWh |
| 22 Sept 2026, 18:00 | openai | gpt-5.6-sol | - | - | 61,191 / 9,271 | - | €0.64 | 70 g | 822 mL | 159 Wh |
| 22 Sept 2026, 18:00 | openai | gpt-5.6-sol | - | - | 120,363 / 18,237 | - | €1.26 | 138 g | 1.6 L | 313 Wh |
| 22 Sept 2026, 18:00 | openai | gpt-5.6-sol | - | - | 81,812 / 12,396 | - | €0.86 | 94 g | 1.1 L | 213 Wh |
| 22 Sept 2026, 18:00 | openai | gpt-5.6-sol | - | - | 100,102 / 15,167 | - | €1.05 | 115 g | 1.3 L | 260 Wh |
| 22 Sept 2026, 18:00 | openai | gpt-5.6-sol | - | - | 125,215 / 18,972 | - | €1.31 | 143 g | 1.7 L | 325 Wh |
| 22 Sept 2026, 18:00 | openai | gpt-5.6-sol | - | - | 14,523 / 2,200 | - | €0.15 | 17 g | 195 mL | 38 Wh |
| 22 Sept 2026, 18:00 | openai | gpt-5.6-terra | - | - | 60,570 / 9,177 | - | €0.33 | 23 g | 268 mL | 52 Wh |
| 22 Sept 2026, 17:57 | anthropic | sonnet | dbt-models | - | 60,684 / 15,615 | - | €1.46 | 43 g | 673 mL | 113 Wh |
| 22 Sept 2026, 17:54 | anthropic | opus | acme-app | - | 643,777 / 114,462 | - | €16.50 | 618 g | 9.8 L | 1.6 kWh |
| 22 Sept 2026, 17:52 | anthropic | opus | brand-site | - | 301,638 / 60,260 | - | €12.20 | 423 g | 6.7 L | 1.1 kWh |
| 22 Sept 2026, 17:44 | anthropic | sonnet | mobile-app | - | 52,566 / 7,795 | - | €0.99 | 27 g | 423 mL | 71 Wh |