| Top teams | CO₂ | Change |
|---|---|---|
| Engineering· 18 | 366.3 kg | 44% |
| Data· 14 | 132.3 kg | 25% |
| Design· 8▲1 | 17.4 kg | 201% |
| Product· 10▼1 | 17 kg | 2% |
Whole organisation over the selected period and provider, selections aside.
| Model | Tokens | CO₂ | Cost | g CO₂e / M tok | € / M tok |
|---|---|---|---|---|---|
| Claude SonnetAnthropic | 36% | 18% | 27% | 10 g | €0.35 |
| Claude OpusAnthropic | 31% | 30% | 44% | 20 g | €0.65 |
| Claude HaikuAnthropic | 22% | 6% | 8% | 5 g | €0.16 |
| GPT-5.6 SolOpenAI | 5% | 23% | 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 | €10,427 | 323.2 kgderived |
| OpenAI | €1,293 | 134.3 kgderived |
| €144 | 68 kgderived | |
| Meta | €47 | 2.9 kgderived |
| DeepSeek | €2 | 10 kgderived |
| Feature | Cost | CO2 |
|---|---|---|
| Unattributed | €11,914 | 538.3 kgderived |
Subscriptions save you ~€4,763 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 |
|---|
| 30 Jul 2026, 11:07 | anthropic | haiku | dbt-models | - | 240,091 / 178,301 | - | €1.15 | 94 g | 1.5 L | 249 Wh |
| 30 Jul 2026, 11:07 | anthropic | opus | acme-web | - | 29,453 / 71,246 | - | €2.54 | 152 g | 2.4 L | 404 Wh |
| 30 Jul 2026, 11:04 | anthropic | haiku | spec-workshop | - | 165,574 / 139,746 | - | €0.93 | 74 g | 1.2 L | 196 Wh |
| 30 Jul 2026, 11:00 | anthropic | sonnet | - | - | 152,351 / 43,149 | - | €0.78 | 51 g | 799 mL | 134 Wh |
| 30 Jul 2026, 11:00 | anthropic | sonnet | - | - | 218,944 / 39,735 | - | €0.91 | 51 g | 810 mL | 136 Wh |
| 30 Jul 2026, 10:57 | anthropic | sonnet | spec-workshop | - | 68,465 / 103,703 | - | €1.50 | 111 g | 1.8 L | 296 Wh |
| 30 Jul 2026, 10:55 | anthropic | sonnet | acme-app | - | 96,238 / 204,707 | - | €3.05 | 221 g | 3.5 L | 588 Wh |
| 30 Jul 2026, 10:55 | anthropic | sonnet | ml-experiments | - | 241,861 / 344,834 | - | €4.98 | 370 g | 5.8 L | 984 Wh |
| 30 Jul 2026, 10:54 | anthropic | opus | acme-app | - | 113,178 / 263,989 | - | €9.23 | 560 g | 8.9 L | 1.5 kWh |
| 30 Jul 2026, 10:54 | anthropic | opus | dbt-models | - | 70,581 / 82,585 | - | €3.57 | 187 g | 3.0 L | 498 Wh |
| 30 Jul 2026, 10:53 | anthropic | sonnet | data-pipeline | - | 153,933 / 318,044 | - | €4.57 | 340 g | 5.4 L | 905 Wh |
| 30 Jul 2026, 10:53 | anthropic | sonnet | acme-app | - | 47,684 / 50,916 | - | €0.90 | 58 g | 918 mL | 154 Wh |
| 30 Jul 2026, 10:52 | anthropic | opus | spec-workshop | - | 52,885 / 69,314 | - | €2.85 | 155 g | 2.4 L | 411 Wh |
| 30 Jul 2026, 10:52 | anthropic | opus | acme-app | - | 86,280 / 113,201 | - | €4.67 | 253 g | 4.0 L | 672 Wh |
| 30 Jul 2026, 10:51 | anthropic | opus | dbt-models | - | 112,754 / 172,459 | - | €6.81 | 380 g | 6.0 L | 1.0 kWh |
| 30 Jul 2026, 10:49 | anthropic | opus | acme-app | - | 137,391 / 215,379 | - | €7.39 | 456 g | 7.2 L | 1.2 kWh |
| 30 Jul 2026, 10:48 | anthropic | opus | design-system | - | 22,707 / 26,361 | - | €1.22 | 61 g | 965 mL | 162 Wh |
| 30 Jul 2026, 10:46 | anthropic | sonnet | acme-app | - | 277,638 / 473,977 | - | €7.08 | 513 g | 8.1 L | 1.4 kWh |
| 30 Jul 2026, 10:46 | anthropic | sonnet | design-system | - | 114,318 / 192,367 | - | €3.18 | 215 g | 3.4 L | 570 Wh |
| 30 Jul 2026, 10:46 | anthropic | haiku | acme-web | - | 35,086 / 28,255 | - | €0.19 | 15 g | 237 mL | 40 Wh |