Mochi vs Anki vs Flashcards (2026): Which App Should You Use?
The old version of this article gave one bad reason to leave Mochi: FSRS. That comparison is obsolete. Mochi added FSRS in 2025, and its current changelog still documents FSRS fixes and parameter updates. In 2026, Mochi vs Anki vs Flashcards is a choice between three different workflows, not between one serious scheduler and two weaker ones.
Disclosure: I am Kirill Markin, and I build Flashcards, one of the products compared here. Flashcards does not automatically win. Mochi is better for native Markdown notes, and Anki remains better for mature templates, add-ons, shared decks, and scheduling control.
Facts checked: August 2, 2026. Prices are the public US or listed prices available on that date. Taxes, regional prices, app-store billing, and future beta terms can differ.
The short answer
- Choose Mochi if you want local-first Markdown notes that can become multi-sided cards. It has the cleanest writing model here, works fully offline without an account, and can import an Anki
.apkgfile directly. - Choose Anki if you want the most mature flashcard system. Its note types, HTML/CSS templates, add-ons, shared decks, FSRS controls, desktop apps, and migration formats are hard to match.
- Choose Flashcards if you want a simpler front/back Markdown model inside an MIT-licensed stack with web and mobile apps, AI chat, files, MCP, an Agent API, and a documented production deployment.
There is also a fourth sensible choice: keep using your current app. A working review habit is usually worth more than a cleaner comparison table.
Mochi vs Anki vs Flashcards: full comparison
| Question | Mochi | Anki | Flashcards |
|---|---|---|---|
| Best for | Local-first Markdown notes and cards | Maximum maturity, customization, and ecosystem depth | An open-source web/mobile stack with built-in agent access |
| Card model | Markdown documents, linked references, fields, templates, tags, views, and multiple card sides | Notes with fields generate one or more cards through HTML/CSS templates | Focused front/back cards with Markdown content, decks, tags, and media |
| Markdown | Native card authoring format | No native Markdown authoring; fields and templates use HTML, with add-ons available | Markdown on the front and back of standard two-sided cards |
| Scheduling | FSRS with Remember/Forgot feedback | Built-in FSRS with Again/Hard/Good/Easy, desired retention, parameter optimization, presets, and simulator | FSRS-6 with Again/Hard/Good/Easy and pinned product weights; no Anki-style personal parameter optimization |
| Offline | Fully offline and accountless; Pro is needed for cross-device sync | Local desktop and mobile review; AnkiWeb provides sync | Offline-first local writes on web, iOS, and Android, then sync after reconnecting |
| Platforms | Web, macOS, Windows, Linux, iOS, Android | Windows, macOS, Linux, AnkiWeb, official AnkiMobile for iOS, independent AnkiDroid for Android | Web, iOS, Android; no desktop client |
| Open source | The core app is not offered as an open-source self-hosted product | Open-source desktop app and clients | MIT-licensed application and infrastructure stack |
| Self-hosting | No official core-app self-hosting path | Official self-hosted sync server for Anki clients; not a full self-hosted AnkiWeb service | Supported production deployment uses AWS CDK; local Docker/Postgres is for development |
| Import | .mochi, Anki .apkg including history, Markdown, CSV |
Plain text, .apkg, .colpkg, and Mnemosyne formats |
Its own flashcards.zip workspace package only |
| Export | .mochi, Markdown, CSV |
Plain text, .apkg, .colpkg |
Its own flashcards.zip workspace package only |
| AI and agents | AI dynamic field, API, and browser integrations with Pro | AI workflows are mainly available through community add-ons | AI chat, file attachments, MCP, and Agent API are part of the product |
| 2026 price | Free offline; Pro listed at US$5/month for sync and other features | Desktop, AnkiWeb, and Android are free; AnkiMobile costs US$24.99 once in the US | Hosted app free during beta; core creation/review promised free; self-hosted software free plus infrastructure/provider costs |
The table shows why “best flashcards app” is too broad. Mochi, Anki, and Flashcards overlap in review, but the material around review is quite different.
Markdown and the card model
Mochi treats each card as a Markdown document
Mochi has the strongest native Markdown workflow of the three. Its card documentation describes cards as Markdown documents that can also hold structured fields, links, tags, templates, attachments, and review history. A line with three dashes separates one side from the next, and a card can have more than two sides.
That design works well when your notes and flashcards should live together. You can keep a long reference note, archive it so it stays out of review, link it to other cards with [[references]], or turn part of it into a multi-sided prompt. Tags, backlinks, filters, and saved views make Mochi closer to a small knowledge base than a plain deck editor.
Choose Mochi for Markdown if you want Markdown itself to be the natural authoring surface, rather than a formatting option inside a conventional front/back form.
Anki separates notes from generated cards
Anki has the most capable card model, though it is not a native Markdown editor. You create a note with fields, then a note type generates one or more cards from those fields. Card templates use HTML and CSS, so one vocabulary note can produce forward, reverse, listening, or other views without duplicating the underlying data.
This is more work to learn, but it gives Anki a higher ceiling. Complex cloze cards, custom layouts, conditional fields, audio rules, and add-on-driven workflows belong here. You can add Markdown through community add-ons, but that is an extension rather than the core authoring model.
Anki wins if “card” means a rendered view of structured study data. Mochi wins if “card” should also behave like a readable Markdown note.
Flashcards keeps the model deliberately narrow
Flashcards features center on front/back cards with Markdown, decks, tags, and related media. The narrower model is easier to understand and easier for an AI agent to create or edit through chat, MCP, or the Agent API. You can attach source files, ask for draft cards, inspect the result, and keep the final review object simple.
The cost is clear. Flashcards does not match Mochi's linked-note system or multi-sided Markdown cards, and it does not match Anki's note types and template engine. It fits people who prefer a predictable two-sided card over a highly configurable content model.
FSRS is no longer the reason to leave Mochi
All three products now use FSRS, a modern spaced-repetition scheduler. If you are comparing Mochi vs Anki because you heard Mochi lacks FSRS, that information is out of date.
Mochi's changelog records the FSRS preview in June 2025 and later fixes and default-parameter updates. The review screen keeps the feedback simple: Remember or Forgot. Mochi does not publicly name the current FSRS major version, so I would not infer one from the app's release number.
Anki gives the learner much more control. Its FSRS settings include four ratings, desired retention, separate presets, parameter optimization from your review history, and a simulator for estimating review workload. If you want to inspect and tune the scheduler, Anki wins this section.
Flashcards uses FSRS-6 and the same four rating labels: Again, Hard, Good, and Easy. Its weights are pinned by the product rather than optimized for each user from personal review history. That makes configuration simpler, but it also removes one of Anki's most useful controls. The longer explanation is in FSRS vs SM-2.
The button model matters in daily use. Mochi asks for a binary memory judgment. Anki and Flashcards ask you to distinguish a failed recall from a difficult, normal, or easy success. Neither approach is universally better; use the one you can rate consistently.
Offline study, platforms, and mobile apps
Mochi combines native desktop coverage with unusually simple accountless offline use. The official product page lists macOS, Windows, Linux, iOS, Android, and web. Data stays on the device, the apps can be used fully offline without an account, and the free plan includes unlimited offline use. Cross-device sync requires Pro.
Anki is also a strong offline choice. Its Windows, macOS, and Linux apps keep a local collection, as do the mobile clients. AnkiWeb handles sync rather than being required for every review. On iOS, AnkiMobile is the official paid app. AnkiDroid is a free, independently developed Android client.
Flashcards uses offline-first local writes across its web, iOS, and Android clients. Reviews and edits save locally, then sync after the connection returns. That is useful on a train or weak mobile connection, but it is not the same platform story as Mochi or Anki: Flashcards has no macOS, Windows, or Linux desktop client. The browser app is the computer interface.
For a more focused comparison, see Best Offline Flashcards App in 2026. If a native desktop app is mandatory, choose Mochi or Anki.
Open source and self-hosting mean different things here
This category gets confusing because “open source,” “local,” and “self-hosted” are often treated as synonyms. They are separate properties.
Mochi is local-first, but its core app does not have an official self-hosting path. Mochi publishes some integrations, while the main application and sync service remain a hosted product. The free accountless apps still give you useful local independence; they do not give you control of the whole stack.
Anki is open source and can work without a server. It also documents an official self-hosted sync server for users who do not want AnkiWeb. That server syncs compatible Anki clients. It is not a complete self-hosted replacement for the AnkiWeb website, accounts, and every hosted service around it.
Flashcards publishes the application and infrastructure under the MIT license. Its self-hosting guide documents an AWS CDK production stack with Postgres on RDS, Cognito, API Gateway, Lambda, S3, CloudFront, monitoring, email, and other operator-owned services. It is the only product here with a documented deployment for the whole stack, and that stack is real infrastructure you must maintain.
The local Docker/Postgres setup in the repository is a development environment, not the supported production deployment. A self-hosted Flashcards installation also leaves you responsible for AWS charges, email, monitoring, AI credentials, backups, upgrades, and mobile distribution if you want your own native builds. The self-hosted flashcards guide covers the tradeoff in more detail.
Import, export, and what migration loses
Migration is where broad feature labels stop helping. Check both the file extension and the data inside it.
Moving into or out of Mochi
Mochi has the most direct route from Anki in this comparison. Its import guide accepts .mochi, Anki .apkg, Markdown, and CSV. The .apkg importer includes review history, but Mochi strips CSS and JavaScript and converts HTML to Markdown. A complex Anki card may keep its facts and history while losing its original appearance or behavior.
For export, Mochi offers its complete .mochi format plus Markdown and CSV. The export guide warns that portable Markdown and CSV do not preserve review history, card order, templates, and some metadata. Use .mochi for a Mochi backup; use Markdown or CSV when readability and compatibility matter more than a complete restore.
Moving into or out of Anki
Anki imports text files, .apkg, .colpkg, and Mnemosyne data. It exports plain text, packaged decks (.apkg), and collections (.colpkg). The Anki export guide explains that packaged formats can include cards, notes, note types, and media, while plain-text exports contain note fields and embedded HTML formatting.
Use a package when you need Anki fidelity. Use text when the destination understands simple fields and you accept losing Anki-specific templates, scheduling state, add-ons, and some media behavior.
Moving into or out of Flashcards
Flashcards currently imports and exports only its own flashcards.zip workspace package. It transfers cards, tags, and related media between Flashcards workspaces. It does not transfer review history, FSRS state, workspace settings, full deck structure, or account data. It is content transfer, not a full backup of a hosted or self-hosted installation.
There is no direct Anki .apkg or Mochi importer. For mostly text cards, you can export TXT or CSV from the source, attach it to Flashcards AI chat, and review proposed front/back cards before saving them. That is a drafting workflow, not a lossless import. Keep the original export and test a small representative deck first. The practical steps are in How to migrate from an Anki text export.
Pricing in 2026
Mochi is free for unlimited offline use and does not require sign-up. Its Pro plan is listed at US$5 per month and adds cross-device sync, publishing, dynamic fields, AI integration, and support.
Anki's desktop apps, AnkiWeb, and AnkiDroid are free. The official US App Store listing prices AnkiMobile for iPhone and iPad at US$24.99 as a one-time purchase. Be careful with similarly named apps in mobile stores; several are unrelated to the Anki project.
The hosted Flashcards app is free during beta, including sync and AI within the current beta terms. Core card creation and review are promised to remain free; higher AI use may later require a provider key or paid option. The self-hosted software is free, while AWS, domains, email, monitoring, AI providers, and the time to operate them are not. Current terms live on the pricing page.
The cost models are more useful than the headline prices. Mochi charges for sync, Anki charges for its official iOS app, and Flashcards is free during beta but moves AWS and operating costs to you if you self-host.
Which app should you use?
Choose Mochi for Markdown and connected notes
Mochi is the best fit when writing is part of studying. It gives you native Markdown, linked references, note-like cards, templates, multiple sides, tags, custom views, broad platform support, and fully offline accountless use. It is also the easiest of these three for a direct Anki .apkg migration.
Skip it if whole-stack self-hosting is a requirement or if you want Anki's four-button FSRS controls and deep add-on ecosystem.
Choose Anki for maturity and control
Anki is the safe choice for medical school, language learning, certification study, or any established workflow that already depends on complex note types, templates, add-ons, shared decks, or years of review history. It has the deepest scheduling controls and the widest proven ecosystem.
Its drawbacks are familiar: native Markdown is absent, setup can become technical, and the product has more concepts to learn. Those costs may be acceptable when fidelity and control matter most. See Anki vs Flashcards for the closer two-product comparison.
Choose Flashcards for an open modern stack and agents
Flashcards fits a new or mostly simple collection when you want web and mobile clients, front/back Markdown, FSRS review, AI chat with files, MCP, an Agent API, and ownership of the application and production infrastructure. It is the only option here that includes both MCP and an Agent API for direct access to a study workspace.
Do not choose it for Anki-compatible import, native desktop apps, advanced templates, or a large shared-deck ecosystem. Its narrower card model and younger product surface are real limits, not items hidden on a roadmap.
Stay where you are when the switch solves no clear problem
Stay with Mochi if its Markdown workflow, offline apps, sync, and two-button review already fit. FSRS alone is no longer a reason to move.
Stay with Anki if your decks depend on its templates, add-ons, media, or scheduling history. A migration can consume more study time than a new interface saves.
Stay with Flashcards if you already value its open stack and agent workflow. Moving to Mochi or Anki would add card-model depth, but it would also give up whole-stack ownership or built-in agent access.
Conclusion: pick the workflow around the scheduler
The practical Mochi vs Anki vs Flashcards answer is straightforward. Mochi centers Markdown and local-first notes. Anki centers a mature, configurable memory system. Flashcards centers a modern open stack that people and AI agents can use together.
I build Flashcards, and I would still choose Mochi for a linked Markdown notebook or Anki for a complex, mature collection. I would choose Flashcards for a fresh front/back workspace when open infrastructure, mobile sync, and agent access are the main requirements.
If that third case matches your workflow, open Flashcards or read the getting started guide. If it does not, keep the tool that makes tomorrow's review easiest.