Alternatives
Products that do what I estimated the carbon impact of different LLMs does
(did my best with the data that is available online)
- 1CD
2018 · carbondoomsday.com
- 2IW
2019 · github.com
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- 5IB
2021 · changeit.app
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- 10ST
Hey folks, I’m Hassan, one of the co-founders of Infracost (https://www.infracost.io). Infracost helps engineers see and reduce the cloud cost of each infrastructure change before they merge their code. The way Infracost works is we gather pricing data from Amazon Web Services, Microsoft Azure and Google Cloud. What we call a ‘Pricing Service’, which now holds around 9 million live price points (!!). Then we map these prices to infrastructure code. Once the mapping is done, it enables us to show the cost impact of a code change before it is merged, directly in GitHub, GitLab etc.…
Jan 2026 · dashboard.infracost.io
- 11LC
The standard AI energy debate compares server-side LLM inference to a server-side Google query. I think this misses most of what actually happens on a mobile device during a real search session. I built a parametric model of the full end-to-end mobile search session: 4G/5G radio energy, SoC rendering cost for a 2.5MB page, programmatic advertising RTB auctions running in the background, and network transmission costs for both sides. Then compared it to an equivalent LLM session. Main finding across 10,000 Monte Carlo draws: on mobile, a standard LLM session uses on average 5.4x less…
Apr 2026 · dupr.at
- 12MC
Have you ever wondered about the carbon footprint of your API? This week, the 27th climate summit takes place in Egypt. This inspired us to draw attention to the emissions produced by our online behaviour. We introduced some CO2-related features to our API testing tool: - Calculate carbon emissions of an API call - Set up a check to validate that your API endpoint doesn't cross the limit when it comes to emissions - Test all your API endpoints and get an approximate calculation of your API emissions in total We hope that by using these features, you will become more aware of the carbon…
2022 · docs.stepci.com
- 13VW
We built a robotic plotter that creates ephemeral visualizations of website carbon footprints using water vapor on glass. It analyzes website energy data and translates it into misty patterns, making the invisible impact of digital infrastructure visible. Built during a residency at a cultural venue in Belgium. Code and build details here : https://gitlab.constantvzw.org/gijs/carbon-aware/-/tree/main....
2024 · vimeo.com
- 14ED
2021 · greatreefcensus.org
- 15IB
I was overspending on GPT-4o. It was really hard to compare different models I could switch to, so I built this LLM comparison tool. It shows leaderboards, pricing, and performance data across 100+ LLMs (including all major providers and open-source models). Key features: - Live pricing comparisons - Benchmark Scores (MMLU, HumanEval, GPQA, etc.) - Context length vs cost analysis - Speed/throughput tests across providers - Quality vs price visualizations - Open source (all data verifiable) Try it out: https://llmstats.com I'd like to know your opinion :) Tech stack: Next.js,…
2025 · llm-stats.com
- 16B2
Heyy HN. We’re celebrating 2 years of Bend’s existence as a company and we’ve launched a new API to help you understand the climate impact of business activity, and/or embed climate data in your application. For most companies, 80% of your emissions are from the goods and services that you buy. Unless you’re running a power plant or an airline, odds are you’re not directly combusting lots of fossil fuels. But literally everything we buy has some upstream climate impact, whether it’s the flights and Ubers that we purchase, or our AWS bills (that run on grids powered by natural gas), all…
2024 · docs.bend.green
- 17IB
Hey HN, I've been working on something cool that I wanted to share with you all. It's called Viewpoint, an analytics tool for LLMs like OpenAI, Anthropic models, and Gemini. The idea came from the constant flood of new LLM models and the need to figure out which ones work best for my projects without breaking the bank. With viewpoint, I can track token usage, costs, latency(WIP), and traffic over time, making it easier to compare different models and see which ones perform best and save money. The tool works asynchronously, so it doesn't add any latency to your LLM requests, and you have…
2024 · viewpointhq.com
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Measure your impact and find practical ways to reduce it
Jul 2026 · freewww.com
- 19BP
2024 · instill.tech
- 20II
2023 · github.com
- 21IM
So hard to keep up with tooling and MLOps - I put it all in one place and got some tips from an experienced friend on what to use.
2025 · readyforagents.com
- 22CY
2025 · privatejetcalculator.com
- 23AF
2021 · itsgettingtoowarm.com
- 24CC
2021 · play.google.com
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