Deepreinforce: Ornith 1.5 35B A3B
Mixture-of-experts coding-reasoning model for agentic software tasks, tool use, and image understanding
- Model lab
- Deepreinforce
- Model family
- ornith
Model resources
Quickstart
Use your Moduck API Key, set the API base URL to https://api.moduck.ai/v1, and set the model parameter to deepreinforce/ornith-1.5-35b-a3b.
import os
import requests
base_url = "https://api.moduck.ai/v1"
api_key = os.environ["MODUCK_API_KEY"]
model_id = "deepreinforce/ornith-1.5-35b-a3b"
response = requests.post(
f"{base_url}/chat/completions",
headers={
"Authorization": f"Bearer {api_key}",
"Content-Type": "application/json",
},
json={
"model": model_id,
"messages": [{"role": "user", "content": "Hello!"}],
"stream": False,
},
timeout=60,
)
response.raise_for_status()
print(response.json())Use the familiar OpenAI-style chat request format to make model integration easier.
Ornith 1.5 35B A3B API Pricing
| Type | Price information |
|---|---|
| Input | USD 0.08 / 1M tokens |
| Output | USD 0.32 / 1M tokens |
| Cached input | USD 0.008 / 1M tokens |
Performance
Measured on the Moduck gateway across live traffic, hour by hour over the last 24 hours. Time to first token is how long before anything appears; throughput is how fast the answer is written after that; end-to-end latency is the whole round trip. Figures are medians unless the card says otherwise.
Performance trends
Availability
Uptime is the share of time at least one provider serving this model responded. Availability is stricter: the share of requests actually served. A provider that answers but fails part of the traffic lowers availability without lowering uptime. Both cover the last three days.
Ornith 1.5 35B A3B Compare models
| Model | Input price | Output price | Context window | Capabilities |
|---|---|---|---|---|
| Ornith 1.5 35B A3BThis page | USD 0.08 / 1M tokens | USD 0.32 / 1M tokens | 262,144 | Text output · Reasoning · Tool calling |
| Ornith 1.0 9B | Price currently unavailable | Price currently unavailable | 262,144 | Text output · Reasoning · Tool calling |
| Ornith 1.0 31B | Price currently unavailable | Price currently unavailable | 262,144 | Text output · Reasoning · Tool calling |
| Ornith 1.0 397B | Price currently unavailable | Price currently unavailable | 262,144 | Text output · Reasoning · Tool calling |
| DeepSeek V4.1 Flash 1017 | USD 0.028 / 1M tokens · Quantization fp4 | USD 0.4 / 1M tokens · Quantization fp4 | 1,000,000 | Text output · Reasoning · Tool calling |
Model specifications
- Input
- text, image
- Output
- text
- Context window
- 262,144
- Maximum output
- —
- Release date
- 2026-08-18
- Attachments
- Yes
- Reasoning
- Yes
- Tool calling
- Yes
- Structured output
- Yes
- Temperature setting
- Yes
- Open weights
- Yes
Frequently asked questions
What is Ornith 1.5 35B A3B for?
Mixture-of-experts coding-reasoning model for agentic software tasks, tool use, and image understanding
What inputs and outputs does Ornith 1.5 35B A3B support?
Recorded inputs: text, images; outputs: text.
How is Ornith 1.5 35B A3B priced?
The pricing table shows the current recorded Moduck price. For example: Input USD 0.08 / 1M tokens; Output USD 0.32 / 1M tokens. See the pricing table for all units, variants, and conditions.
What specifications are recorded for Ornith 1.5 35B A3B?
Current model records list Context window 262,144 tokens.
What model parameter does the Quickstart use?
The example uses deepreinforce/ornith-1.5-35b-a3b. This value comes from the page identifier and is not confirmed as a callable Moduck public ID.
Can I call this model through the Moduck API now?
This page has no verified Moduck API call for this model. A Quickstart example or reserved ID does not establish access; check the models available to your account.