# Ornith 1.5 122B at 302tps

> Source: <https://runinfra.ai/inference-api/ornith-1-5-122b>
> Published: 2026-10-20 21:37:48+00:00

# Ornith 1.5 122B

`ornith-ai/`
Ornith 1.5 122B is a mixture-of-experts reasoning model with about 10B active parameters. It takes text and image input. RunInfra serves it as ornith-ai/Ornith-1.5-122B at $0.20 per 1M input tokens and $0.80 per 1M output tokens. Its context window is 262,144 tokens. The API provides OpenAI-compatible chat completions and Anthropic-compatible Messages, POST /v1/messages.

## Pricing

USD, pay per token

- per 1M input tokens
- $0.20
- per 1M cached input tokens
- $0.02
- per 1M output tokens
- $0.80

## Measured performance

## Access

Confirm how your client reaches this model.

- Provider
- Ornith
- API compatibility
- OpenAI-compatible chat completions
- Anthropic compatibility
- Anthropic-compatible Messages, POST /v1/messages
- Accepted input
- Text and images
- Availability
- Available
- Data retention
- [Zero data retention by default. Never used for training.](https://runinfra.ai/docs/security/data-retention)

## Capacity

Check the limits your workload must fit.

- Context window
- 262,144 tokens
- Maximum request size
- 3.5 MB per request
- Maximum generated output
- 262,144 tokens

## Capabilities

See which request modes the API supports.

- Tool calling
- Supported
- JSON mode
- Supported
- Streaming
- Supported
- Precision
- BF16, unquantized

## View full spec

- Gateway compatibility
- OpenAI- and Anthropic-compatible APIs for compatible clients, tools, and gateways
- Prefix caching
- Automatic prefix caching runs on every replica, and requests from the same session or conversation are routed back to the replica that holds their cached prefix. A stable session hint or prompt_cache_key provides explicit grouping; otherwise RunInfra derives it from the start of the conversation or, failing that, the workspace. Hits remain best effort until eviction or a serve restart, never guaranteed. Cached input is billed at the cached input rate. Responses report cached token counts.
- Cache retention
- Prefix cache is held on the serving GPU and evicted under memory pressure. Retention is best effort.
- Upstream model
- [View model](https://huggingface.co/ornith-ai/Ornith-1.5-122B)