# Ox Alpha

Ox Alpha is a language model from Stealth with a 1M-token context window. Provider list price is $0 per million input tokens and $0 per million output; on Allocate you pay $0 and $0. It is a closed model served over API; the weights are not published.

## Pricing

| | Provider list | On Allocate |
| --- | --- | --- |
| Input, per M tokens | $0 | $0 |
| Output, per M tokens | $0 | $0 |

Prices checked 2026-07-21.

## Facts

| Field | Value |
| --- | --- |
| Lab | Stealth |
| Modality | Language |
| Context window | 1M tokens |
| License | Proprietary API |
| Open weights | No |
| Fine-tunable | No |
| Catalog id | stealth/ox-alpha |

## What a real workload costs

Take 1,000,000 requests a month at 1,200 input and 350 output tokens each: 1,200M input and 350M output tokens. At list prices that is 1,200 × $0 + 350 × $0 = $0 a month. Billed on Allocate it is $0.

## Common questions

### How much does Ox Alpha cost per million tokens?

Provider list price is $0 per million input tokens and $0 per million output tokens. On Allocate you pay $0 in and $0 out.

### What context window does Ox Alpha have?

1,048,576 tokens (1M). At roughly 0.75 words per token, that is about 786k words of English text per request.

### Can I fine-tune Ox Alpha?

No. Ox Alpha is a closed model served over API; the weights are not published. If you want a model you can train and own, start from an open-weights base in the catalog and fine-tune that.

### How do I call Ox Alpha on Allocate?

Send stealth/ox-alpha in the model field of the OpenAI-compatible endpoint at api.allocate.network/v1, or point a route name (like prod/support-agent) at it so you can swap the model later without a deploy.

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[HTML page](https://allocate.network/models/stealth-ox-alpha) · [Machine-readable catalog](https://allocate.network/catalog.json)