Duck AI vs Eva

Duck AI and Eva are both personal assistants 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.

Duck AI

Duck.ai is DuckDuckGo's browser-based chat interface that routes your prompts to leading AI models without requiring sign-up or storing your conversation history, per the vendor's stated privacy model. The free tier gives you access to a set of base models; advanced models with higher usage headroom are a paid-only feature tied to a DuckDuckGo subscription. There is no API, no self-hosted option, and no way to connect it to your own tooling — it is a chat window and nothing more. For a quick question, anonymous research, or a productivity task you do not want tied to an identity, it works cleanly. When you need to automate, integrate, or run more than a handful of advanced queries a day, you hit its ceiling fast.

Eva

The home screen organizes work across four tabs — Chat, Images, Music, Docs — so you are not stitching together separate apps to get a grounded assistant plus media playback. Music continues in the background with lock-screen controls while you use the chat or docs tabs, which means the assistant does not interrupt your queue. The ceiling appears fast on older or mid-range hardware: on-device inference is bottlenecked by the ARM64 chip you have, not a server you can upgrade. No API is exposed, so there is no path to building a pipeline around Eva or connecting it to other tooling. The open-source repo has 1 star and 0 open issues at time of curation, meaning community support is effectively nonexistent.

Attribute	Duck AI	Eva
Pricing	Paid	Free
Price	$9.99/month or $99.99/year for advanced models	—
Free trial	7 days	No
Open source	No	Yes
Has API	No	No
Self-hosted option	No	Yes
Platforms	Web	Android
Pros	No account or sign-up required, so you can query any supported model without leaving an identity footprint — which matters when the research itself is the thing you do not want logged. Access to multiple AI models from a single interface, so you can compare outputs without maintaining separate accounts or API keys for each provider. Free tier with no usage friction for base models, so occasional users get real AI access without a billing commitment. DuckDuckGo's stated no-logging privacy model, so queries you run here are not fed back into a training pipeline or tied to a browsing profile the way they would be on most mainstream AI chat products.	Entire stack — language model, voice, maps, documents, Wikipedia — runs on-device with no network calls, so user data never reaches a third-party server even when the app is actively used. Open-source under a public GitHub repo with a downloadable APK, so you can audit the code, build from source, or self-host the distribution instead of depending on a vendor's continued operation. Background music playback with lock-screen controls persists while you use Chat or Docs tabs, so switching to ask a question does not interrupt the media session. Document-grounded chat runs locally, which means you can feed private files into the assistant without those documents ever leaving the device — a constraint that eliminates most cloud-based RAG tools from contention. No account creation or sign-in required, so there is no identity surface to compromise and no subscription to manage.
Cons	No API means any team that needs to call a model programmatically — to power a feature, automate a task, or process data in bulk — cannot use Duck.ai at all. There is no workaround short of switching to a provider that offers API access. Advanced models are a paid-only feature with no standalone purchase path — they require a DuckDuckGo subscription, so teams evaluating Duck.ai specifically for model access are buying into a broader product they may not want. No persistent context or session history means every conversation starts cold. Users running multi-step research or iterative drafting have to manually paste prior context back in each time, which breaks any workflow longer than a single exchange. No self-hosted or local option means privacy-sensitive organizations that cannot route queries through a third-party server — regulated industries, legal teams, enterprise security requirements — have no deployment path here. Teams with those constraints move to self-hosted open-source models.	Inference speed is hard-capped by the phone's ARM64 chip — on mid-range or older Android hardware, response latency becomes unusable for anything beyond short queries, and there is no server fallback to compensate. No API, no webhook, no automation surface of any kind: Eva cannot be called from a script, integrated into a workflow, or connected to another tool. Any team that needs Eva's capabilities as a component rather than a standalone app will rebuild the functionality from scratch elsewhere. The repo shows 1 star and 0 contributors beyond the original author at time of curation — when something breaks on a specific Android version or model, there is no community to surface a fix or workaround. The APK targets arm64-v8a only, so devices outside that architecture are unsupported with no documented path to building for other targets.

Bottom line

Duck AI is paid while Eva is free; Eva is open source; only Eva can be self-hosted; Duck AI runs on Web; Eva on Android. Pick the difference that actually blocks you.

Frequently asked questions

What is the difference between Duck AI and Eva?

Duck AI is Paid, while Eva is Free and open source. Compare pricing, free trial, API, platforms, and pros/cons in the table above on AIDiveForge.

Is Duck AI better than Eva?

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.

Duck AI vs Eva: which should I pick?

Pick Duck AI if its pricing model, openness, or platform fit matches your constraints; pick Eva otherwise. Check free-trial availability on each listing if you want to test before committing.

Comparison data is sourced and verified by the AIDiveForge data pipeline. AIDiveForge is editorially independent.