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docs: update calculator links
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docs/blog/posts/2025_11_methodology_update.md

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**Better latency estimations in EcoLogits Calculator**
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We improved latency calculations in the [EcoLogits Calculator](https://huggingface.co/spaces/genai-impact/ecologits-calculator) by incorporating model and provider throughput data from [OpenRouter](https://openrouter.ai/). This provides a more accurate estimate of execution duration and, consequently, environmental impacts. Note that this change does not affect the EcoLogits Python library, which relies on direct latency measurements.
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We improved latency calculations in the [EcoLogits Calculator](https://calculator.ecologits.ai/) by incorporating model and provider throughput data from [OpenRouter](https://openrouter.ai/). This provides a more accurate estimate of execution duration and, consequently, environmental impacts. Note that this change does not affect the EcoLogits Python library, which relies on direct latency measurements.
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## Comparison with other disclosures from the AI providers
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docs/blog/posts/2026_03_improve_latency_estimation.md

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These two metrics are being collected from [OpenRouter](https://openrouter.ai/), a service that centralizes the access to many AI providers with a single API key. Since the service is widely adopted (**over 30 trillion tokens per month**) the average data should be representative of real-world conditions.
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This work extends what was [previously done](2025_11_methodology_update.md#other-minor-changes) to patch the energy and impacts overestimations we had in [EcoLogits Calculator](https://huggingface.co/spaces/genai-impact/ecologits-calculator) compared to the Python library. Having this new estimation method in our core methodology makes it more reliable and reusable in all projects that depend on EcoLogits.
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This work extends what was [previously done](2025_11_methodology_update.md#other-minor-changes) to patch the energy and impacts overestimations we had in [EcoLogits Calculator](https://calculator.ecologits.ai/) compared to the Python library. Having this new estimation method in our core methodology makes it more reliable and reusable in all projects that depend on EcoLogits.
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It is important to note that the **old method** to estimate generation latency using the [ML.ENERGY Leaderboard](https://ml.energy/leaderboard/?__theme=light) is **still being used when TTFT and TPS values are not available** on OpenRouter. This is the case for the Hugging Face inference provider that we support.

docs/faq.md

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## How can I estimate impacts of general use of GenAI models?
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If you want to estimate the environmental impacts of using generative AI models without coding or making request, we recommend you to use our online webapp [EcoLogits Calculator :octicons-link-external-16:](https://huggingface.co/spaces/genai-impact/ecologits-calculator).
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If you want to estimate the environmental impacts of using generative AI models without coding or making request, we recommend you to use our online webapp [EcoLogits Calculator :octicons-link-external-16:](https://calculator.ecologits.ai/).
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## How do we assess impacts for proprietary models?

docs/index.md

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<h3>EcoLogits Calculator</h3>
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</div>
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<div class="card-content">
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<a href="https://huggingface.co/spaces/genai-impact/ecologits-calculator" target="_blank">
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<a href="https://calculator.ecologits.ai/" target="_blank">
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<img src="assets/calculator_screenshot.png" alt="Calculator Icon">
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</a>
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<p>A <b>user-friendly web tool</b> for estimating the environmental footprint of AI models with just a few clicks.</p>
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<p><a href="https://huggingface.co/spaces/genai-impact/ecologits-calculator" target="_blank">Visit EcoLogits Calculator <span class="twemoji"><svg xmlns="http://www.w3.org/2000/svg" viewBox="0 0 16 16"><path d="M3.75 2h3.5a.75.75 0 0 1 0 1.5h-3.5a.25.25 0 0 0-.25.25v8.5c0 .138.112.25.25.25h8.5a.25.25 0 0 0 .25-.25v-3.5a.75.75 0 0 1 1.5 0v3.5A1.75 1.75 0 0 1 12.25 14h-8.5A1.75 1.75 0 0 1 2 12.25v-8.5C2 2.784 2.784 2 3.75 2m6.854-1h4.146a.25.25 0 0 1 .25.25v4.146a.25.25 0 0 1-.427.177L13.03 4.03 9.28 7.78a.75.75 0 0 1-1.042-.018.75.75 0 0 1-.018-1.042l3.75-3.75-1.543-1.543A.25.25 0 0 1 10.604 1"></path></svg></span></a></p>
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<p><a href="https://calculator.ecologits.ai/" target="_blank">Visit EcoLogits Calculator <span class="twemoji"><svg xmlns="http://www.w3.org/2000/svg" viewBox="0 0 16 16"><path d="M3.75 2h3.5a.75.75 0 0 1 0 1.5h-3.5a.25.25 0 0 0-.25.25v8.5c0 .138.112.25.25.25h8.5a.25.25 0 0 0 .25-.25v-3.5a.75.75 0 0 1 1.5 0v3.5A1.75 1.75 0 0 1 12.25 14h-8.5A1.75 1.75 0 0 1 2 12.25v-8.5C2 2.784 2.784 2 3.75 2m6.854-1h4.146a.25.25 0 0 1 .25.25v4.146a.25.25 0 0 1-.427.177L13.03 4.03 9.28 7.78a.75.75 0 0 1-1.042-.018.75.75 0 0 1-.018-1.042l3.75-3.75-1.543-1.543A.25.25 0 0 1 10.604 1"></path></svg></span></a></p>
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<div class="project-card">
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</div>
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<div class="contributor-card">
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<img src="https://raw.githubusercontent.com/genai-impact/website/refs/heads/main/assets/images/people/claire_saignol.jpg" alt="Claire Saignol">
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<img src="https://avatars.githubusercontent.com/u/280668843?v=4" alt="Claire Saignol">
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<div class="contributor-info">
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<span class="contributor-name">Claire Saignol</span>
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<span class="contributor-role">Sustainability Manager</span>

mkdocs.yml

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- 'API Reference': reference/
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- 'Blog':
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- blog/index.md
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- 'EcoLogits Calculator': 'https://huggingface.co/spaces/genai-impact/ecologits-calculator'
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- 'EcoLogits Calculator': 'https://calculator.ecologits.ai/'
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- 'EcoLogits API': 'https://api.ecologits.ai/docs'
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theme:

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