SkyClaw vs FoneClaw: Model API or Android Phone Runtime?
Compare Skywork AI SkyClaw models with FoneClaw's Android runtime by model-driven tool use, API compatibility, phone permissions, setup checks, and practical tasks.
- SkyClaw in this comparison means the Skywork AI SkyClaw model family, not an Android app or phone-control runtime.
- Skywork documents SkyClaw as agent-oriented models for complex tool use, 1M-token context, image input, and OpenAI-compatible API access through the linked provider route.
- FoneClaw supplies the Android runtime side: opening apps, reading supported accessible UI, selecting visible targets, and filling editable fields without submitting text automatically.
- Choose SkyClaw when you need a model for an agent runtime; choose FoneClaw when the task requires supported Android phone execution with permissions and visible results.
Identify the SkyClaw in This Comparison
SkyClaw is the Skywork AI model family documented in the official Skywork AI SkyClaw repository and the official SkyClaw release page. FoneClaw is our Android agent runtime for supported phone actions. The useful SkyClaw vs FoneClaw question is whether you need a model API for an agent stack or an Android runtime that can work with current phone state.
Choose SkyClaw when you are evaluating a model for an agent framework, long-context reasoning, multimodal input, and tool-use behavior. Choose FoneClaw when the task has to happen on an Android device with app state, permissions, visible UI, and a result the user can check.
A strong model can help decide which tool to call, but it does not automatically receive authority over a phone. A phone runtime can perform supported Android actions, but its behavior still depends on device permissions, current screen state, configured model route, and approval policy. For the phone-action side, AI Agent Phone Control on Android: Intent, Confirmation, Action explains why execution requires more than model intelligence.
What the Model Documentation Establishes
Skywork AI describes SkyClaw as an agent-oriented model family for complex tool use and multi-turn workflows. The official release page, dated 2026-05-19, documents 1M-token context, OpenAI-compatible API access through the base URL https://api.apifree.ai/v1, and the exact model IDs skywork-ai/skyclaw-v1 and skywork-ai/skyclaw-v1-lite. The 1M-token figure is a documented model context claim, not a guarantee that every runtime or provider plan exposes that full context in every workflow.
The repository also marks a 2026-06-10 update for multimodal image input and a screenshot-to-generated-HTML demonstration. That is meaningful for model capability, especially UI understanding and generation. It should not be read as proof that the model can control Android apps by itself. A screenshot-to-HTML example is not the same as reading the current Android accessibility state, selecting a live button, or respecting phone permissions.
Skywork's performance tables and demonstrations are vendor-published results. They are useful for understanding intended capabilities, but they are not an independent FoneClaw integration test and they do not establish Android task success rates. If you need a model for a coding, research, or tool-calling agent, SkyClaw belongs on your shortlist. If you need phone execution, the model still needs a runtime with Android access.
Separate Model, Runtime, and Phone Access
Model-driven tool use has three layers. The model interprets the request and decides the next step. The agent runtime exposes tools such as file editing, browser work, code execution, or phone actions. The environment then decides what is actually allowed: API credentials, file permissions, Android accessibility, app state, and user approval.
SkyClaw sits primarily in the model layer. In the right runtime, it can participate in real actions by producing tool calls and reasoning through multi-step work. FoneClaw sits in the Android runtime layer. We provide supported phone actions such as opening apps, reading supported accessible UI, selecting a visible target identified in the latest screen reading, and filling a current editable field. Text input fills the field only; it does not submit, tap Send, or press Enter. The current FoneClaw Features page describes our supported Android capability surface.
A compatible model API can improve reasoning or tool selection, but it cannot bypass a missing Android permission, an unsupported app route, or an ambiguous current screen. FoneClaw's supported Android actions still need a model route and policy settings appropriate to the task. For a broader view of how model layers become phone actions, AI Agents on Phones in 2026: From Lab Workflows to Pocket Hardware and Daily Actions covers the transition from agent research to daily device use.
Choose by the Output You Need
The clearest way to choose is to name the output. If you want a reasoning model for an agent, evaluate SkyClaw's API behavior. If you want a visible result on an Android phone, evaluate whether FoneClaw supports the current device action.
| Task | SkyClaw fit | FoneClaw fit | What to verify |
|---|---|---|---|
| Coding or file-editing agent | Good fit when an agent runtime supplies file, command, and testing tools. | Not the primary route unless the result must be used on the Android phone. | Model API access, tool calls, edited files, and test output. |
| Research or long-context work | Good fit for model evaluation where long context and multi-step reasoning matter. | Useful only if the final result must be opened or acted on through Android. | Source handling, generated report, model provider limits, and actual usable context. |
| Image or screenshot analysis | Relevant because Skywork documents image input and UI-generation examples. | Relevant when the Android runtime can inspect the live supported screen state. | Whether you need static image reasoning or live phone action. |
| Android visible text entry | Can draft or decide wording inside an agent runtime. | Can fill one current visible editable field; sending remains a separate action. | Correct field, exact inserted text, and final send or submit decision. |
| Phone app navigation | Requires a runtime that exposes phone tools and permissions. | Can open supported apps, read supported UI, and select visible targets when the current screen allows it. | Device permission, current screen, and visible result. |
Use the table as a setup checklist: model API tasks need provider access and a runtime; Android tasks need phone permission, current UI state, and a supported FoneClaw action.
Check Compatibility Before Connecting a Model
The SkyClaw release page links to the official API access route for SkyClaw credentials and billing. Treat that as the place to verify endpoint details, current provider terms, authentication, model IDs, context handling, image input, and tool-calling behavior. The documented OpenAI-compatible API base URL is https://api.apifree.ai/v1, but provider availability, limits, and billing still need to be checked in the current account.
FoneClaw supports a default model route and compatible configured model API routes, but specific provider and model compatibility must be checked before relying on a workflow. API syntax compatibility is a starting point, not proof that SkyClaw has been tested with every FoneClaw Android action, every image input pattern, or every approval setting.
A practical check starts small. Connect the model route only where provider terms and credentials are clear. Try a non-sensitive task such as summarizing a visible screen or drafting text into an editable field without submitting it. Confirm that the model response, Android action, and visible result all match the request before moving to sensitive tasks. For setup mechanics, Connect an AI Model API to an Android Phone Agent in FoneClaw explains the provider-configuration side without implying any specific SkyClaw integration has already been verified.
Compare Cost and Control Separately
Cost belongs to the provider and runtime setup. Skywork's repository and release materials mention API access and temporary promotional availability, but current billing, limits, and access belong on the provider page linked by the official release. Do not treat a time-limited promotion as permanent pricing.
Control belongs to the runtime and phone. If SkyClaw is used through an online provider, prompts, tool context, images, or screen context may be processed by that provider according to the chosen route. If FoneClaw uses a configured online model, supplied Android context may also pass through that selected model provider. Android execution itself is not the same as offline inference.
Approvals are also policy-dependent. FoneClaw approval behavior follows global and per-tool policy and the actual action requirements. Model strength does not replace user control, missing permissions, or a clear Android result. The safest comparison is simple: verify the model route, verify the phone action, and inspect the final output before expanding the workflow.