| 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 |
|---|
| 30 Sept 2026, 16:00 | openai | gpt-5.6-sol | - | - | 98,806 / 14,971 | - | €1.04 | 113 g | 1.3 L | 257 Wh |
| 30 Sept 2026, 16:00 | openai | gpt-5.6-terra | - | - | 137,535 / 20,839 | - | €0.76 | 52 g | 608 mL | 118 Wh |
| 30 Sept 2026, 16:00 | anthropic | haiku | - | - | 201,775 / 32,602 | - | €0.38 | 21 g | 338 mL | 57 Wh |
| 30 Sept 2026, 16:00 | openai | gpt-5.6-sol | - | - | 190,258 / 28,827 | - | €2.00 | 218 g | 2.6 L | 494 Wh |
| 30 Sept 2026, 16:00 | openai | gpt-5.6-sol | - | - | 99,481 / 15,073 | - | €1.04 | 114 g | 1.3 L | 258 Wh |
| 30 Sept 2026, 16:00 | openai | gpt-5.6-sol | - | - | 62,939 / 9,536 | - | €0.66 | 72 g | 846 mL | 164 Wh |
| 30 Sept 2026, 15:53 | anthropic | sonnet | acme-web | - | 1,472 / 430 | - | €0.04 | 1 g | 18 mL | 3.05 Wh |
| 30 Sept 2026, 15:48 | anthropic | opus | acme-app | - | 35,517 / 8,542 | - | €2.42 | 53 g | 845 mL | 142 Wh |
| 30 Sept 2026, 15:46 | anthropic | opus | acme-app | - | 19,901 / 4,216 | - | €1.12 | 25 g | 399 mL | 67 Wh |
| 30 Sept 2026, 15:36 | anthropic | opus | acme-api | - | 28,825 / 6,303 | - | €1.41 | 33 g | 527 mL | 89 Wh |
| 30 Sept 2026, 15:28 | anthropic | opus | acme-api | - | 61,724 / 12,092 | - | €3.09 | 71 g | 1.1 L | 187 Wh |
| 30 Sept 2026, 15:22 | anthropic | sonnet | spec-workshop | - | 245,236 / 45,586 | - | €5.71 | 155 g | 2.4 L | 411 Wh |
| 30 Sept 2026, 15:00 | openai | gpt-5.6-sol | - | - | 110,448 / 16,734 | - | €1.16 | 127 g | 1.5 L | 287 Wh |
| 30 Sept 2026, 15:00 | openai | gpt-5.6-sol | - | - | 83,328 / 12,625 | - | €0.87 | 95 g | 1.1 L | 217 Wh |
| 30 Sept 2026, 15:00 | openai | gpt-5.6-sol | - | - | 175,379 / 26,573 | - | €1.84 | 201 g | 2.4 L | 456 Wh |
| 30 Sept 2026, 15:00 | openai | gpt-5.6-sol | - | - | 62,936 / 9,536 | - | €0.66 | 72 g | 846 mL | 164 Wh |
| 30 Sept 2026, 15:00 | openai | gpt-5.6-sol | - | - | 130,019 / 19,700 | - | €1.36 | 149 g | 1.7 L | 338 Wh |
| 30 Sept 2026, 15:00 | anthropic | haiku | - | - | 176,145 / 37,761 | - | €0.37 | 23 g | 365 mL | 61 Wh |
| 30 Sept 2026, 14:47 | anthropic | opus | dbt-models | - | 15,589 / 4,476 | - | €1.03 | 24 g | 382 mL | 64 Wh |
| 30 Sept 2026, 14:37 | anthropic | sonnet | acme-app | - | 36,293 / 8,460 | - | €0.76 | 22 g | 354 mL | 60 Wh |