Ox Alpha✓ Catalog verified
Ox Alpha is a reasoning model designed for coding, sustained agentic work, and production workloads. It is suited for long-horizon software engineering, complex reasoning, and workflows that combine text with...
Overview
Ox Alpha is a reasoning model designed for coding, sustained agentic work, and production workloads. It is suited for long-horizon software engineering, complex reasoning, and workflows that combine text with...
Access: available through the official Stealth API. Context window: 1.0M.
Specifications
| API identifier | stealth/ox-alpha |
| Provider | Stealth |
| Model type | Multimodal LLM |
| Context window | 1.0M catalog |
| Input modalities | text · image · video |
| Output modalities | text |
| Released | Aug 20, 2026 |
| Moderated | No |
| Architecture modality | text+image+video->text |
| Scheduled expiry | 2098-12-31 |
API defaults
{
"top_p": 0.95,
"temperature": 1
}Pricing
Live pricing components for stealth/ox-alpha as published in the catalog.
| Pricing component | Raw unit price | Normalized | Unit |
|---|---|---|---|
| Prompt tokens | $0 | $0.00 / 1M | Per input token |
| Completion tokens | $0 | $0.00 / 1M | Per output token |
| Request fee | N/A | N/A | Per request |
| Image fee | N/A | N/A | Per image unit |
| Web search fee | N/A | N/A | Per search request |
Cost calculator
Estimate monthly spend from your own token volumes.
Estimated Total Cost
$0Calculated from current list pricing in the ModelsAtlas catalog.Capabilities
| Capability | Status | What it means |
|---|---|---|
| Visual Understanding | ✓ Supported | Image and document analysis support |
| Audio Processing | Not advertised | Speech and voice aligned flows |
| Tool Calling | ✓ Supported | Supports tools / function calling |
| Self-Hosting | Not advertised | Deploy outside managed APIs |
Capability signals
Directional signals derived from model metadata and capability tags — not official benchmark submissions.
Quick start
Call Ox Alpha through an OpenAI-compatible client.
from openai import OpenAI
client = OpenAI(
base_url="https://openrouter.ai/api/v1",
api_key="YOUR_API_KEY"
)
response = client.chat.completions.create(
model="stealth/ox-alpha",
messages=[{"role": "user", "content": "Explain quantum physics."}]
)
print(response.choices[0].message.content)Alternatives
Closest models by context window from a different provider.
| Model | Provider | Context | Input /1M | Actions |
|---|---|---|---|---|
| DeepSeek: DeepSeek V4 Flash 0423 | DeepSeek | 1.0M | $0.08 | View → |
| DeepSeek: DeepSeek V4 Pro 0423 | DeepSeek | 1.0M | $1.60 | View → |
Sources & attribution
Pricing and metadata are maintained in the ModelsAtlas catalog.
Frequently asked questions
How much does Ox Alpha cost?
$0.00 per 1M input tokens and $0.00 per 1M output tokens on the official Stealth API.
What is the context window of Ox Alpha?
Ox Alpha supports up to 1.0M tokens of context.
Does Ox Alpha support tool / function calling?
Yes, Ox Alpha supports tool / function calling — you can register tools and the model will emit structured tool calls.
How do I access Ox Alpha?
Use the official Stealth API with the model id `stealth/ox-alpha`. See the Quick start section above for code examples.