This stealth model is developed and operated by a third-party model provider. Prompts and completions for this model are retained by the provider and are not used for training; all other use is governed by the Stealth Model Terms(opens in new tab).
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 visual context.
Ox Alpha is a stealth model. It is developed and operated by a third-party provider who has chosen to remain anonymous during this preview. OpenRouter routes requests to it and is not its developer, owner, or provider. Prompts and completions are retained by the provider and are not used for training; all other use is governed by the Stealth Model Terms(opens in new tab).
Modalities
Price
Free
Context
1M
Released
Aug 20, 2026
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 visual context. Ox Alpha is a stealth model. It is developed and operated by a third-party provider who has chosen to remain anonymous during this preview.
Yes. The pricing shown on this page for Ox Alpha is zero, so you are not charged for prompt or completion tokens.
Ox Alpha has a 1,048,576 token context window. It supports up to 131,072 completion tokens.
Yes. Ox Alpha accepts tools and tool_choice for function calling. It supports response_format for JSON output, without JSON-schema enforcement.
Ox Alpha accepts text, images and video as input and returns text.
Ox Alpha was released on August 20, 2026.
This model is hosted by one provider. OpenRouter forwards every request to it directly — no routing decisions to make.
The average price customers actually pay for this model, next to the prices providers post. Caching and discounts mean the price actually paid is often well below the listed one.
Throughput is how fast the model writes (tokens per second — higher is better). Latency is total round-trip time (lower is better). TTFT is time-to-first-token — how long before you see anything appear (lower is better).
Uptime is the percentage of the past 3 days that at least one provider was responding to requests. Availability is the percentage of time that inference was successfully served. OpenRouter continuously monitors and uses the next-best provider when one returns an error.
Public apps that send the most traffic to this model. Good signal for what real production workloads look like — and a hint at which use cases this model is best suited for.
Token volume and request traffic to this model over time.
Drop-in code to call this model. OpenRouter's API is OpenAI-compatible — most SDKs work by just swapping the base URL. The only thing that changes between models is the model slug below.
| Free | Free | 0.85s | 53 tps |
Throughput
53tok/s
P50, best across providers
Latency
0.85s
P50, best provider
98.88%
98.88%
When an error occurs in an upstream provider, we can recover by routing to another healthy provider, if your request filters allow it. You can access per-provider uptime data programmatically through the Endpoints API. Learn more about our load balancing and customization options.