Helicone Blog
helicone.ai · Company blog · on HN since 2023
Helicone, an LLM observability startup, writes about LLM costs, pricing data, inference platforms, and building AI applications.
What HN saysCommenters recommend Helicone as an LLM observability tool and praise its up-to-date LLM cost page, often alongside PromptLayer and Freeplay.
15HN people shared it
7linked it in comments
14stories submitted
26story points
5 months agolast shared
2023people per year2026
Most-shared posts
- 1Helicone (W23) drops pricing to $25/mo6 people · 4 points · first shared 2023 · discussion on HN
- 2We open-sourced pricing data for 300 LLM APIs4 people · 2 points · first shared 2024 · discussion on HN
- 3How to Automate a Product Hunt Launch2 people · 3 points · first shared 2024 · discussion on HN
- 4Helicone Is Joining Mintlify1 people · 4 points · first shared 2026 · discussion on HN
- 5LLM Stack Guide1 people · 4 points · first shared 2024 · 1 comments on HN
- 6Techniques to Significantly Reduce LLM Costs in AI Applications1 people · 3 points · first shared 2024 · discussion on HN
- 7Out with Golden Datasets: Here's Why Random Sampling Is Better1 people · 2 points · first shared 2024 · discussion on HN
- 8Top AI Inferencing Platforms in 20241 people · 2 points · first shared 2024 · discussion on HN
- 9Chain-of-Draft Prompting: A More Efficient Alternative to Chain of Thought1 people · 1 points · first shared 2025 · discussion on HN
- 10Finetuned LLMs with 2 lines of code. Helicone + OpenPipe1 people · 1 points · first shared 2023 · 1 comments on HN
What HN people wrote when they linked it
deaux · 2025-12-18
https://www.helicone.ai/llm-cost
Tried a lot of them and settled on this one, they update instantly on model release and having all models on one page is the best UX.
wallawe · 2024-10-01
If anyone finds this in the future, we found three solutions we're evaluating:
https://www.promptlayer.com/
https://freeplay.ai/
https://www.helicone.ai/
iamjackg · 2023-10-04
I'm sorry, I should have been clearer -- I meant that I wish this would be a locally self-hostable observability solution for OpenAI-compatible APIs in general, not something that can only be deployed to Azure and is tied specifically to Azure's OpenAI service.
For example, Helicone[0] and llm.report[1] work as generic proxies for the OpenAI API and you can deploy them anywhere.
0: https://www.helicone.ai/
1: https://llm.report/
gbertb · 2023-05-07
yagizdegirmenci · 2024-02-02
Helicone is also pretty decent: https://helicone.ai
jjani · 2025-07-25
Another one, with many more models: https://www.helicone.ai/llm-cost
jubilanti · 2026-05-22
> There's no single database with information about all the available AI models. We started Models.dev as a community-contributed project to address this.
There are literally dozens of existing projects that are doing what you are trying to do.
Insert XKCD standards reference here:
https://www.helicone.ai/llm-cost
https://pricepertoken.com/
https://docs.litellm.ai/docs/provider_registration/add_model_pricing
https://artificialanalysis.ai/api-reference
https://github.com/simonw/llm-prices
https://github.com/assistant-ui/modelpedia
https://github.com/pydantic/genai-prices
https://github.com/Portkey-AI/models
https://github.com/truefoundry/models
https://github.com/agentstation/starmap
https://github.com/dcSpark/ai-model-catalog
https://github.com/mitkury/aimodels
https://github.com/nuxdie/ai-pricing