Motif Technologies: Motif 3
Motif 3 is a large-scale, decoder-only Mixture-of-Experts (MoE) language model with 314 billion total parameters and 13.2 billion parameters activated per token.
- Model lab
- Motif Technologies
- Model family
- motif
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 motif-technologies/motif-3.
import os
import requests
base_url = "https://api.moduck.ai/v1"
api_key = os.environ["MODUCK_API_KEY"]
model_id = "motif-technologies/motif-3"
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.
Motif 3 API Pricing
| Type | Price information |
|---|---|
| Input | USD 0.4 / 1M tokens |
| Output | USD 1.6 / 1M tokens |
| Cached input | USD 0.16 / 1M tokens |
Benchmarks
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.
Motif 3 Compare models
| Model | Input price | Output price | Context window | Capabilities |
|---|---|---|---|---|
| Motif 3This page | USD 0.4 / 1M tokens | USD 1.6 / 1M tokens | 262,144 | Text output · Reasoning · Tool calling |
| Beam 1.0 501B A23B | USD 0.2 / 1M tokens | USD 0.8 / 1M tokens | 1,048,576 | Text output · Reasoning · Tool calling |
| Ling 3.1 Flash | USD 0.06 / 1M tokens | USD 0.176 / 1M tokens | 262,144 | Text output · Reasoning · Tool calling |
| Schematron V2 Small | USD 0.04 / 1M tokens | USD 0.184 / 1M tokens | 128,000 | Text output |
| Schematron V2 Turbo | USD 0.024 / 1M tokens | USD 0.12 / 1M tokens | 128,000 | Text output |
Model specifications
- Input
- text
- Output
- text
- Context window
- 262,144
- Maximum output
- 262,144
- Release date
- 2026-08-07
- Attachments
- No
- Reasoning
- Yes
- Tool calling
- Yes
- Structured output
- No
- Temperature setting
- Yes
- Open weights
- Yes
Frequently asked questions
What is Motif 3 for?
Motif 3 is a large-scale, decoder-only Mixture-of-Experts (MoE) language model with 314 billion total parameters and 13.2 billion parameters activated per token.
What inputs and outputs does Motif 3 support?
Recorded inputs: text; outputs: text.
How is Motif 3 priced?
The pricing table shows the current recorded Moduck price. For example: Input USD 0.4 / 1M tokens; Output USD 1.6 / 1M tokens. See the pricing table for all units, variants, and conditions.
What specifications are recorded for Motif 3?
Current model records list Context window 262,144 tokens; Maximum output 262,144 tokens.
What model parameter does the Quickstart use?
The example uses motif-technologies/motif-3. 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.
Related models
No related catalog models are recorded for this model family.