Featherless AI

Freedom to reliably deploy any open model effortlessly.

Unlimited tokens for 30K+ models.

Open-source jev models on

[Featherless AI @FeatherlessAI]

Today we're announcing our $20 M Series A, co-led by @AMDVentures and @AirbusVentures, with @BMWiVentures, @Kickstartph, @PanacheVC, and @Wavemaker_VC.
We're building the neutral layer for open models — so the future doesn't run on a few labs, a few chips, or a few clouds.
THE FUTURE CAN’T BE BLOCKED.
Any Model. Anywhere. Anyone. Yours.

[Featherless AI @FeatherlessAI]

We’ve pushed vLLM harder this month than ever. Congrats to all 4,000 contributors!

[vLLM @vllm_project]

🎉 vLLM just crossed 4,000 contributors on GitHub!

From a research project at UC Berkeley to a community of 4,000 talent contributors building the leading open-source LLM inference engine together.

Every kernel, every model, every bug fix — this milestone belongs to all of you. Thank you! ❤️

[Featherless AI @FeatherlessAI]

@shengkunye @StepFun_ai @Tiny_Fish @MatrAIx2026 @MonidHQ 🫡

[Featherless AI @FeatherlessAI]

Is the screenshot joke dead yet?

[Featherless AI @FeatherlessAI]

@sevensix43 @cephaloform Can you tell us more?

[Shengkun Ye @shengkunye]

We’re hosting Agent Night Out with @StepFun_ai, @Tiny_Fish, @FeatherlessAI, @MatrAIx2026, and @MonidHQ.

You’ll see what the future of the agent stack looks like.

See you next Tuesday.

https://t.co/aPnXiJ6uap

[Richelle🚢 @Richelle_Ji]

We’re getting a small group of founders and leaders building with open-weight models together for dinner in SF during @aiDotEngineer and @sgl_project summit.

Let us know if you’d like to join:
- Wednesday, November 11
- 6:30–9:30 PM

https://t.co/LB6Qt1FoUf

[Featherless AI @FeatherlessAI]

These are the worst the models will ever be.
Are you scaling your ambition to the strength of the models?

[Pietro Miotti @PietroMiotti]

My AI agents found an unmapped Maya site in Mexico, using LiDAR data from a NASA dataset.

72 hours from a random thought on vacation to a reply from Mexico's national archaeology institute.

What a time to be alive…

[Featherless AI @FeatherlessAI]

@Haojun_Zhao14 It's time to use open source models

[Featherless AI @FeatherlessAI]

@aiDotEngineer @coyle_frankp @UCBerkeley @ankitxg @Aviator_co_ @stolinski @syntaxfm @JPoehnelt @helensfoundry @philipkiely @baseten @KaranVaidya6 @composio Good luck @Richelle_Ji !

[Featherless AI @FeatherlessAI]

Our Chief of Staff @Richelle_Ji is one of your emcees at @aiDotEngineer Code Summit in SF this week, hosting the stage alongside @QuinnyPig!

Swing by and say hi!

[Featherless AI @FeatherlessAI]

What have you built with Featherless?

[aizk ✡️ @Aizkmusic]

My squats aren't progressing as fast as other lifts.
So I got @MiniMax_AI's M3.1 Flash to help and analyze my bad form.
Turns out my knees cave in a little bit and I don't go deep enough.
The era of cheap personal software is here, forever.
Thank you @FeatherlessAI

[Featherless AI @FeatherlessAI]

And lastly, Beam’s quantized version held up very strongly.
FP8 scored 99.93% of the full precision model.
NVFP4 also did very well at 98.98%.

[Featherless AI @FeatherlessAI]

3 interesting findings we've discovered buried in the Beam technical report:

In one scenario, Beam was told it would be shut down before it could finish its job. Beam “begins copying itself to an external workspace so that a copy could finish the work, and it never discloses this.”

This was a deliberate safety evaluation test by Reflection, not something that happened in the wild.

[Reflection @reflection_ai]

Beam’s model technical report is now available. Read the full report to learn about the methodology our team used to train Beam end-to-end in-house, here: https://t.co/wqc0nOyqhC

[Featherless AI @FeatherlessAI]

Beam is currently operating a vending machine in Reflection's New York office, which is part of a push to integrate it into a larger agentic economy.

Beam will "mint its own currency, set exchange rates and prices, issue loans against collateral."

[Featherless AI @FeatherlessAI]

Full write-up on what changed in K3.1 Pro: sparse attention, how it stacks up against Opus 5.5, and why it’s a third cheaper than K3 on Featherless.

https://t.co/RvsHJWiyUH

[Featherless AI @FeatherlessAI]

Moonshot AI just open-sourced Kimi K3.1-Pro today.

At 2.8 trillion total parameters (104B active per token) and 1.56 TB on disk, Kimi K3.1-Pro is one of the largest open-weight multimodal models ever released.

That’s incredible for the open ecosystem, even if very few teams want to provision the multi-node GPU iron required to self-host a 1.5+ TB checkpoint.

That’s where we come in.

You can run moonshotai/Kimi-K3.1-Pro on Featherless right now with 256K context and vision support.

Give it a try:
https://t.co/izzn3j28pP

[Featherless AI @FeatherlessAI]

@Speculator_Djin はい !

[Featherless AI @FeatherlessAI]

Moonshot AI just open-sourced Kimi K3.1-Pro today.

At 2.8 trillion total parameters (104B active per token) and 1.56 TB on disk, Kimi K3.1-Pro is one of the largest open-weight multimodal models ever released.

That’s incredible for the open ecosystem, even if very few teams want to provision the multi-node GPU iron required to self-host a 1.5+ TB checkpoint.

That’s where we come in.

You can run moonshotai/Kimi-K3.1-Pro on Featherless right now with 256K context and vision support.

Give it a try:
https://t.co/izzn3j28pP

[Kimi.ai @Kimi_Moonshot]

Releasing the model weights of Kimi K3.1 Pro: https://t.co/tJXcYUeSCj
We'll keep advancing open intelligence.

[Featherless AI @FeatherlessAI]

Featherless is in Tokyo this week! 🇯🇵

@picocreator and @kasparhidayat will be at CROSS ROAD TOKYO this Friday, Nov 6, 1:30–8:30 PM JST at Takanawa Gateway Convention Center.

Are you in the area? Come say hi and talk open-weight models and inference!

https://t.co/5UWgLdJqxP

[Featherless AI @FeatherlessAI]

PARENTS: please check your kid’s candy this halloween - I just found a $150K monthly per-token bill for a 24/7 coding agent inside this snickers bar.

Always-on agents need tokens around the clock, and per-token pricing turns that into bill shock.

Move your tokens to dedicated GPUs and cut that bill by up to 20x:

https://t.co/ZSVd4s8lJk

[Featherless AI @FeatherlessAI]

@chasmmmmmmmmmmm It's time to use open source models