Ox Alpha free how long: Free Access Status & Setup Guide

Ox Alpha is currently listed as free on OpenRouter, but the available information does not provide a guaranteed end date. The model was released on August 20, 2026, and remains presented as a stealth preview operated by an anonymous third-party provider.

That means “free” describes the current pricing shown by the provider, not a permanent promise. OpenRouter reports $0 input pricing and $0 output pricing, while the model page also labels Ox Alpha as a preview. Access, capacity, rate limits, and pricing may change as testing continues.

Video Highlights:

• Ox Alpha is presented as a stealth reasoning model for coding and agentic work.
• Testing covered vector graphics, interactive 3D scenes, front-end design, game physics, and full-stack applications.
• The model supports text, image, and video input with a reported 1 million-token context window.
• The reported coding benchmark result reached 80% on 10 DeepSWE tasks in one independent test.

The safest interpretation is straightforward: Ox Alpha is free for the duration of its current preview availability, but there is no published schedule confirming how long that status will last. Users should check the official Ox Alpha OpenRouter page before important projects because the listing is the most direct place to verify price and provider status.

Ox Alpha is not described as a game or entertainment platform. It is a multimodal reasoning model aimed at software engineering, sustained agentic work, complex reasoning, and production-oriented workflows. Its most notable feature is the combination of long context, visual input, and coding-focused output.

OpenRouter lists a 1M context window, while the model accepts text, images, and video as input and returns text. This makes it suitable for tasks that require large codebases, visual references, interface screenshots, or analysis of recorded demonstrations.

The available testing examples suggest that Ox Alpha performs particularly well when the task has a clear functional target. A 3D pill organizer included separate compartments, labels, opening animations, and interactive controls. A scissor lift demonstration maintained connected moving parts while the user adjusted height with a slider.

The front-end test produced a polished landing page with live preview content, animated updates, a workflow section, pricing blocks, and an FAQ area. A full-stack task board also connected a React interface with a Python FastAPI backend and SQLite storage.

The reported results should be treated as useful signals rather than a universal ranking. The coding test covered 10 DeepSWE tasks and produced an 80% score, but a small benchmark sample cannot predict every workload. For reliable evaluation, compare Ox Alpha with your usual model using the same prompts, tools, codebase, and test suite.

The simplest access method is OpenRouter’s web playground. API users can call the model with the identifier stealth/ox-alpha through an OpenAI-compatible request format. An API key is still required for API access even when the model’s listed token price is zero.

Follow these steps to verify the current status and make a first request.

A minimal shell setup from the model’s quick-start flow looks like this:

export OPENROUTER_API_KEY=sk-or-v1-...

Streaming can be enabled with "stream": true, allowing the application to receive output progressively. This may improve the experience for long responses, although it does not change the model’s listed token price.

There is no confirmed public duration for the free period. The available listing identifies Ox Alpha as a stealth model released on August 20, 2026, and says it is developed and operated by a third-party provider that has chosen to remain anonymous during the preview.

This wording matters. A preview can remain free for an unknown period, move to paid pricing, become capacity-limited, or disappear from a platform. None of those outcomes is confirmed for Ox Alpha, so the responsible answer is to distinguish current facts from future possibilities.

Users should also distinguish free token pricing from unlimited practical access. Even with a zero listed price, access can be affected by queueing, throughput, account policies, provider capacity, request limits, or service interruptions.

OpenRouter’s displayed performance data includes a provider latency figure, throughput measurements, and recent uptime information. These values describe observed service behavior during the reported period; they should not be read as a promise that every future request will perform identically.

A sensible planning rule is:

• Use the current free preview for evaluation and experimentation.
• Keep a local archive of prompts, generated code, and test results.
• Avoid making a business-critical pipeline depend on one anonymous provider.
• Recheck pricing and terms before increasing usage.
• Maintain an alternative model for continuity.

Ox Alpha is worth testing if your goal is to evaluate long-context reasoning, multimodal prompts, coding assistance, or interactive application generation. The free listing lowers the barrier to comparison, especially for developers who want to test the same task across several models.

Its reported strengths are broad. The testing examples included SVG illustration, 3D modeling, 3D kinematics, a front-end landing page, a basketball physics demo, and a React-Python full-stack task board. These examples indicate flexibility across creative and technical workflows.

However, broad capability does not remove the need for verification. Generated code should be reviewed, dependencies should be checked, and application behavior should be tested locally. Visual polish can also vary depending on prompt detail, input quality, and the complexity of the requested interaction.

A useful evaluation should include repeatable prompts rather than one impressive demonstration. Ask the model to explain its plan, generate the implementation, identify likely failures, and revise the result after tests. This reveals more than a single polished output.