Alternatives to the Physical Intelligence pi API

The Physical Intelligence pi API opened as a beta on 13 October 2026. It is waitlisted and it publishes no price. That is the whole first-party record today. The real alternatives are three paths. You can run the open pi 0.5 weights yourself. You can use another open vision-language-action model through a host that serves it. Or you can budget a per-call lane on this platform. Every path below was checked on 26 October 2026. Where a party publishes nothing, the table cell stays a dash.

This page is the comparison the search results do not have. On 26 October 2026, no page in the head results for this question compares the real options. You get beta coverage and funding news. Here you get the dated facts: what exists, what it costs where a price is published, and what it takes to run.

Who is asking this, and why

Three signals, all checked on 26 October 2026. First, Google autocomplete completes the full phrase "physical intelligence api" as you type it. Enough people type the whole thing that the box suggests it back. Second, the money searches. Third-party comparison sites render the pi API price cell as not available, because no price exists to render. People who want a number today find a blank. Third, the forums. Threads on running pi 0.5 class models on small hardware, and on switching to fully local execution, draw real discussion. The searches are buyer searches. Someone has a robot, wants a policy, and cannot get through a waitlist.

The name collides, so be sure of your quarry. The model's name starts with the Greek letter pi. Raspberry Pi makes small computers. Inflection AI makes a chatbot also called Pi. This page is about the robot model company's API. If you came for the computers or the chatbot, those pages are elsewhere.

Path A: run the open weights yourself

Physical Intelligence publishes the weights itself. The openpi repository holds the pi 0, pi 0 FAST, and pi 0.5 base checkpoints. They are pre-trained, in the company's own words, on more than 10,000 hours of robot data. The checkpoints download from the repository's asset store on first run. This is the same model family the beta serves. It is the closest thing to the pi API that needs no invitation.

What it takes to run, from the repository's own requirements table, read 26 October 2026:

The serving path is documented. One command starts a policy server. A small client package in your robot code talks to it over a websocket. Images resize on the robot side, at 224 by 224 pixels, to keep the link light. The repository is tested on Ubuntu 22.04. It also ships a Docker path if your setup fights the install. A third-party engine, openpi-flash from Hebbian Robotics, wraps the same models for faster serving. The vendor reports cutting one user's round trip from about 4,000 milliseconds to about 200. That claim is the vendor's own, read today. The pattern where the GPU sits off the robot is the policy server guide on this site.

Rented hardware prices the path. On RunPod, read 26 October 2026, a 24 GB tier rents at 0.27 per hour on an A5000, 0.5 on an RTX 3090, and 0.89 on an RTX 4090. The inference floor fits that tier. A full fine-tune does not; it wants more than 70 GB, which means the expensive rows of any rental table. The license position has three parts. The repository code is Apache-2.0. The LeRobot port of pi 0.5 carries a Gemma license tag. The vision tokenizer sits behind a license gate on the Hub, and you accept its terms and log in before a first run. Read all three before you ship a product.

The honest cost statement for this path: the model is free, the engineering is not. You own the server, the uptime, the restarts, and the tuning. The VLA break-even guide works the full math.

Path B: other open models, and who serves them

The pi family is not the only open policy. The Hub carries a shelf of smaller open models that run on cheaper hardware, all checked today.

SmolVLA's card says it plain: a model "trainable on a single GPU and deployable on consumer hardware". It installs with one pip line from the LeRobot project. For a small arm it is the practical substitute. This platform keeps model data rows for the smolvla and openvla-oft ids, and the lane write-ups sit on the smolvla lane and openvla-oft lane pages. As of 26 October 2026 neither row is on the public list, so neither page quotes a live rate.

Now the host surface, which is thin. The Hub itself serves none of these. Every row above reads inference unavailable in the Hub's own model data today. The Hub hands you files; it does not run them for you. The classic marketplaces were checked the same day. The DeepInfra public model list carries 175 models, and not one matches a search for vla, pi0, openpi, smolvla, molmoact, or gr00t. The fal explore page is a media catalog, image and video and audio, with no robot lane. Replicate's search renders nothing static to check; this repo's own census of the big hosts, the host-class report, holds the longer record and found the same absence.

Two newer parties do serve robot models. abstract.inc publishes a public rate card, read in full on 26 October 2026. For pi 0.5 it lists 0.15 per million input tokens, 0.015 per million cached input tokens, and 3.70 per million actions, with an hour estimate of 0.85 for a full 30 Hz control loop. Their hour is defined the same way this site defines it: 108,000 actions. That shared definition is what makes the two numbers comparable at all. roboticinference.com covers the same shelf, pi 0.5, GR00T, X-VLA, SmolVLA, OpenVLA, per its own site description read today. It publishes no price. Its pages render behind a login. And Google prices Gemini Robotics ER 2, read today on the official pricing page: 1.00 per million input tokens and 5.00 per million output tokens through the end of 2026, doubling on 1 January 2027. One caveat sits on that row: ER 2 is an embodied reasoner, not a chunked action policy. It looks at a scene and reasons about it. It does not drive a 30 Hz control loop the way a VLA does. The Gemini rate card page holds that full treatment.

The comparison, in one table

Every cell below is either a dated fact or a dash. Read on 26 October 2026.

Three dashes carry the weight of this page. The pi API price cell is empty because no price exists. The roboticinference cells are empty because nothing is served to a public page. The marketplace row is dashes because same-day checks found none of these models there. A dash is a fact with a date on it.

This platform's row, stated plainly

The record, as of 26 October 2026: this platform keeps model data rows for eight robot models, including pi05, pi05-droid, pi05-libero, smolvla, and openvla-oft. Metering is per call, not per million. The rates are set in the model data. The rows are not on the public list, and no date is attached to that. A written record is not a launch. Only listed rows render in the table below, and the models index is the live catalog.

Budgeting the per-call shape is arithmetic. It takes named inputs:

cost per robot hour  =  C x P

C:  calls per robot hour, from your chunk length
P:  per-call rate, read off the live table for a listed row

The convention used across this site: a 30 Hz loop with a chunk of 50 actions makes 2,160 calls per robot hour. abstract.inc defines its hour the same way, 108,000 actions. At that convention, the pi05 row's published derivation works out to 6.48 per robot hour. The hardware economics sit in the robot inference cost report. Compare that with abstract.inc's 0.85 estimate. Same convention, same day. It is the one honest number-to-number comparison on this page. Both parties publish. Both define the hour. The units still differ under the hood, because one bills per call and the other bills per token and action. The full unit translation lives in the pricing units guide.

The prepaid wallet is the other half of the shape. An unattended robot loop cannot open a credit line. A refused call bills nothing. The bill shock guide documents why that matters for robot work.

How to choose

If you need pi 0.5 behavior now, and you can hold a GPU, self-host. The weights are the same family, the license permits commercial testing, and a 24 GB rental tier starts below 0.3 per hour today. Your cost is engineering time.

If you need a hosted policy now, look at the new rate cards. abstract.inc is the only party publishing a pi 0.5 price today. The small open models are another way, through whichever host you trust. Read every rate with its date. The Gemini row doubles on 1 January 2027, by Google's own page.

If you are budgeting many robots over months, metering shape matters more than any single rate. Per call, per million tokens, and per hour answer different questions. Pick the shape you can predict. Then pick the party. The waitlist guide covers the apply-and-wait path if you choose it anyway. The pi 0.5 pricing page is the deep treatment of the first-party record.

Frequently asked questions

Is there any real alternative to the pi API today?

Yes, three kinds, all checked 26 October 2026. First, the open weights in the openpi repository, which you host yourself. Second, hosted policies from new third parties. abstract.inc publishes prices there; roboticinference.com does not. Third, other open models, such as SmolVLA, that run on cheaper hardware. What does not exist: the pi API on any classic marketplace, and any first-party price. Both absences are dated observations.

Can I run pi 0.5 myself?

Yes. The base checkpoint downloads from the openpi repository, and serving it needs an NVIDIA GPU with more than 8 GB of memory, per the repository's own table. A 24 GB rental card at 0.27 to 0.89 per hour covers inference. Full fine-tuning wants more than 70 GB. One server command and a websocket client are the whole serving path.

Is the pi API free?

No price is published, which is not the same as free. The beta post of 13 October 2026 names no price, the waitlist names no price, and no third party has a number to cite. Budget from the dated alternatives on this page instead of guessing at an invoice that does not exist yet.

What is the lowest-cost way to run a robot policy today?

A small open model on hardware you already own. SmolVLA trains on a single GPU and runs on consumer hardware, per its own card, under Apache-2.0. Below that, only your electric bill. On the hosted side, compare per-call, per-token, and per-hour shapes with their dates, never one bare number against another.

Is this platform an alternative?

It is one row in the table, with the same rules as every other row. The model data holds per-call rows for eight robot models, pi 0.5 among them. The rates are set, the rows are not on the public list, and no date is attached to that. Listed rates render on the pricing page, and the prepaid wallet is the spend stop. You can sign up and create a key without a call from us.

The short version: the pi API is a waitlisted beta with no price. The weights are open, the hosts are few and new, and every number on this page carries a party and a date. Listed rates render on the pricing page. Sign up to create a key and budget metered calls.

Last verified: 2026-10-26