Vellum alternatives in 2026
Vellum alternatives compared: what Artificial Analysis, LMSYS Chatbot Arena, Hugging Face and Model Odds each do, and how to choose one.
SupaKeeper is published by LunarWerx, which makes some of the tools compared here.
Vellum is an AI assistant, and Vellum Cloud runs each assistant in an isolated container provisioned for that user. [1] If you are looking for a tool that compares models, browses them or estimates when new ones will ship, the options below cover those jobs. Model Odds ranks Anthropic and OpenAI model families by their estimated chance of a release within 30 days. [2]
| Option | What it does | Price | Platform |
|---|---|---|---|
| Vellum | Runs an AI assistant, and Vellum Cloud runs each assistant in an isolated container provisioned for that user. [1] | Free to download [1]; Vellum Cloud plans start at $30 per month for Mighty, $100 per month for Super, or $200 per month for Ultra [1] | Mac, iOS, Android, web app, voice, email, Telegram, Slack and terminal. [1] |
| Artificial Analysis | Compares models on intelligence, speed, latency, benchmarks and more. [3] | Not published. | Not published. |
| LMSYS Chatbot Arena | Lets you battle 2 anonymous models or compare 2 models side by side. [4] [4] | Not published. | Not published. |
| Hugging Face | Platform for collaborating on models, datasets and applications, with more than 2 million models to browse. [5] [5] | GPU compute starts at $0.60 per hour. [5] | Not published. |
| Model Odds | Ranks Anthropic and OpenAI model families by estimated chance of a release within 30 days. [2] | Free, with no account needed. [2] | Web app that runs in the browser and needs JavaScript. [2] |
Why developers look past Vellum
Vellum is an AI assistant, and Vellum Cloud runs each assistant in an isolated container provisioned for that user. [1] The assistant can send emails, manage calendars, browse the web, create slides, write code, run deep research, monitor websites and run recurring tasks in the background. [1] Vellum is open source, so you can inspect the code yourself. [1] You can switch between models from OpenAI, Anthropic, Gemini or open weights via Ollama at any time. [1]
Those are tasks an assistant carries out for you. A reader who wants to compare model benchmarks, browse a large library of models or estimate when new models will ship is asking a different question, and the options below cover those questions.
Artificial Analysis: compares models on intelligence, speed and benchmarks
It lets users compare models on intelligence, speed, latency, benchmarks and more. [3] It offers Optima, a product for building your own custom benchmark. [3] It tracks Image Arena and Video Arena leaderboards with 95% confidence intervals. [3] Check its site for price and access details.
LMSYS Chatbot Arena: lets you battle or compare models side by side
LMSYS Chatbot Arena's leaderboards are powered by real people doing real work on Arena from across the globe. [6] You can battle 2 anonymous models. [4] You can also compare 2 models of your choice side by side. [4] Or you can chat directly with 1 model at a time. [4] Its Agent Mode is built for complex tasks. [4] Check the site for price and platform details, since they are not stated here.
Hugging Face: a platform for models, datasets and applications
Hugging Face is a platform where the machine learning community collaborates on models, datasets and applications. [5] It hosts more than 2 million models that you can browse. [5] Its Inference Providers give access to more than 45,000 models from leading AI providers through a single, unified API with no service fees. [5] GPU compute on Hugging Face starts at $0.60 per hour. [5] Check the site for any other pricing details before you commit.
Model Odds: ranks model families by estimated release chances
Model Odds is made by the team that publishes this site. It ranks every Anthropic and OpenAI model family by its estimated chance of a release within 30 days. [2] Anthropic and OpenAI each get their own page that lists every past release. [2] Each past launch is confirmed by an official post and an independent timeline, and it is listed with its date. [2]
The estimate uses the gaps between recent launches and takes into account how long the current wait has already lasted. [2] It runs three estimators side by side and publishes the spread between them as the error bar. [2] You can sign up with a confirmed email to get alerts. [2] An API serves per-line odds, the launch record and service health. [2] The website and the API share one snapshot that is cached for up to five minutes. [2]
It is a web app that runs in the browser and needs JavaScript. [2] It is a website with a public API. [2] Model Odds is free, and so is its API, with no account needed. [2]
How to pick the right Vellum alternative
Use Vellum if you want an assistant that can send emails, manage calendars and write code. [1]
Use Artificial Analysis when you want to compare models on intelligence, speed, latency and benchmarks. [3] Its Optima product is for building your own custom benchmark. [3]
Use LMSYS Chatbot Arena when you want to battle 2 anonymous models, compare 2 models side by side or chat with 1 model at a time. [4] [4] [4]
Use Hugging Face if you want to browse more than 2 million models or reach more than 45,000 models through one API. [5] [5]
Use Model Odds when you want to see the estimated chance of a release within 30 days for each Anthropic and OpenAI model family. [2] If you want to build tools, check its public API. [2] If you want alerts, check the confirmed email alerts. [2]
Things to check before you choose: how fresh the data needs to be, given the Model Odds snapshot is cached for up to five minutes [2], and whether you want to use two of these side by side.
Frequently asked questions
Is Vellum free to use?
Vellum is free to download and start, and new users get their first tasks free. [1] [7] If you choose Vellum Cloud, subscription plans start at $30 per month for Mighty, $100 per month for Super, or $200 per month for Ultra, with dedicated compute, storage and bundled credits. [1] Check the Vellum site for current terms before you choose.
Does Vellum run locally or in the cloud?
If you use Vellum Cloud, your assistant runs in an isolated container provisioned exclusively for you. [1] Vellum also says you can switch between models including OpenAI, Anthropic, Gemini or open weights via Ollama at any time. [1] Compare the two setups against your own needs before you pick one.
What is Model Odds?
Model Odds ranks every Anthropic and OpenAI model family by its estimated chance of a release within 30 days. [2] It runs three estimators side by side and publishes the spread between them as the error bar. [2] Each past launch is confirmed by an official post and an independent timeline. [2] It is a web app that runs in the browser and needs JavaScript. [2] It is free, and so is its API, with no account needed. [2]
Does Model Odds have an API for developers?
Yes. An API serves per-line odds, the launch record and service health. [2] The website and the API share one snapshot that is cached for up to five minutes, so check that this suits your use. [2] Model Odds is free, and so is its API, with no account needed. [2]
How does Hugging Face help with machine learning models?
Hugging Face is a platform where the machine learning community collaborates on models, datasets and applications. [5] It hosts more than 2 million models that you can browse. [5] Its Inference Providers give access to more than 45,000 models from leading AI providers through a single, unified API with no service fees. [5] GPU compute on Hugging Face starts at $0.60 per hour. [5]
Model Odds is free, and so is its API, with no account needed. [2]
Try Model OddsSources
- Vellum, vellum.ai, read 2026-10-09
- Model Odds' own description of itself (the product of this site's publisher)
- Artificial Analysis, artificialanalysis.ai, read 2026-10-08
- LMSYS Chatbot Arena, lmarena.ai, read 2026-10-09
- Hugging Face, huggingface.co, read 2026-10-09
- LMSYS Chatbot Arena, lmarena.ai/leaderboard, read 2026-10-09
- Vellum, vellum.ai/pricing, read 2026-10-09
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