Calyxa vs Physics AI

Calyxa and Physics AI are both education & learning tracked by AIDiveForge. Below is a side-by-side comparison of pricing, capabilities, platforms, and ownership — sourced from each tool's live website and verified before publishing.

Calyxa

Calyxa overlays annotations and voice explanations on whatever page you are working on — Khan Academy, Canvas, Google Classroom, WebAssign — without requiring you to screenshot or context-switch. You describe where you are stuck, and it coaches you toward the answer rather than handing it over. The in-page annotation layer marks specific terms as it talks about them, so 'the middle term' refers to something you can actually see. Free accounts are capped at ten sessions per month; memory of your recurring misconceptions and study kits that survive the session are paid-only features. Chrome is the only supported browser — the vendor page states this explicitly.

Physics AI

The scraped page content returned does not match the submitted tool data — the page describes a travel-identification app called Spotter, not a physics problem-solving tool. No factual claims about the physics tool's workflow, explanation quality, or feature set can be sourced from the provided page. What the validator context confirms: the tool operates on a per-submission credit model, has no API, no self-hosting, and no agentic capability — users submit a problem and receive a response. Teams or educators expecting programmatic access or bulk assignment integration will find a hard wall immediately.

Attribute	Calyxa	Physics AI
Pricing	Paid	Paid
Price	$10 /mo for Pro	$5.9/mo
Free trial	No	No
Open source	No	No
Has API	No	No
Self-hosted option	No	No
Platforms	Chrome extension	Web-based (browser)
Pros	In-page annotation marks the exact term being discussed as the voice explanation runs, so 'the middle term' points to something visible on screen rather than requiring you to mentally map text to a problem you are staring at in a separate window. One keyboard shortcut activates the tutor on your active tab without leaving the homework platform, which eliminates the screenshot-paste-chat cycle that takes roughly ten minutes per problem and produces an answer you cannot reproduce. Coaching-first response design asks what you tried before explaining anything, so you are pushed to think through the step rather than handed a solution to transcribe — which means you are more likely to answer the same question correctly on a timed exam. Compatibility with major homework platforms — Khan Academy, Canvas, WebAssign, DeltaMath, and others listed by the vendor — means the extension works where students already are rather than requiring a platform migration. Session notes and study kits capture what was covered during a tutoring session for later review, so the work done during homework becomes material you can revisit before a test rather than disappearing when the tab closes.	Step-by-step guided explanations for submitted problems, so students can trace exactly where their own reasoning diverged from the correct method — rather than just getting a final answer they cannot learn from. Credit rollover on paid tiers, which means a student who has a light week does not forfeit capacity they paid for before an exam crunch arrives. Covers formula lookup and method reference alongside full problem solving, so a student does not need to switch between a separate reference sheet and a solver mid-session. No setup, installation, or account infrastructure beyond sign-up — which means the tool is accessible during exam prep without an IT request or software approval process.
Cons	The free tier caps at ten sessions per month — a student doing nightly homework across multiple subjects will hit that ceiling mid-week, at which point the choice is pay or revert to the copy-paste workflow the tool was built to replace. Chrome is the only supported browser, stated explicitly on the vendor page — students on school-issued devices locked to Firefox or Safari cannot use the extension at all, and there is no fallback web interface. Misconception tracking — the feature that makes the coaching adapt to your specific error patterns over time — is a paid-only feature, so the free tier delivers generic coaching that does not get better the more you use it; teams evaluating this for institutional deployment at scale will find no API and no self-hosted path, which makes a competitor with an LMS integration layer the only viable option.	The free tier caps submissions at seven per month — a student working through a problem set the week before finals exhausts that allocation in a single sitting, then faces a paywall or a month-long wait. No API access exists, so any team — a tutoring platform, an EdTech product, a teacher building a homework helper — that needs to programmatically submit problems or retrieve responses cannot use this tool at all. They switch to an LLM provider with a direct API (OpenAI, Anthropic, or equivalent) and build their own prompt layer. There is no self-hosted option, which means schools or districts with data residency requirements or student privacy policies that prohibit third-party cloud processing cannot deploy this tool for classroom use, regardless of how well it performs on the problems themselves.

Bottom line

Calyxa and Physics AI are closely matched on pricing model, openness, and API availability — pick by feature set and platform support in the table above.

Frequently asked questions

What is the difference between Calyxa and Physics AI?

Calyxa is Paid, while Physics AI is Paid. Compare pricing, free trial, API, platforms, and pros/cons in the table above on AIDiveForge.

Is Calyxa better than Physics AI?

It depends on your workflow. Use the side-by-side attributes (pricing, open source, API, self-hosted, platforms) to decide. AIDiveForge does not rank a universal winner — we publish verified facts so you can choose.