Swiss Ai: Apertus 8B
Fully open 8B multilingual LLM supporting 1800+ languages with 65K context. Trained on compliant open data. Apache 2.0, EU AI Act compliant.
- Model lab
- Swiss Ai
- Model family
- —
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 swiss-ai/apertus-8b.
import os
import requests
base_url = "https://api.moduck.ai/v1"
api_key = os.environ["MODUCK_API_KEY"]
model_id = "swiss-ai/apertus-8b"
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.
Apertus 8B API Pricing
| Type | Price information |
|---|---|
| Input | USD 0.08 / 1M tokens |
| Output | USD 0.16 / 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.
Apertus 8B Compare models
| Model | Input price | Output price | Context window | Capabilities |
|---|---|---|---|---|
| Apertus 8BThis page | USD 0.08 / 1M tokens | USD 0.16 / 1M tokens | 65,536 | Text output · Tool calling |
| Apertus 70B | USD 1.1144 / 1M tokens | USD 1.7824 / 1M tokens | 65,536 | Text output · 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 |
Model specifications
- Input
- text
- Output
- text
- Context window
- 65,536
- Maximum output
- 8,192
- Release date
- 2025-09-02
- Attachments
- No
- Reasoning
- No
- Tool calling
- Yes
- Temperature setting
- Yes
- Open weights
- Yes
Frequently asked questions
What is Apertus 8B for?
Fully open 8B multilingual LLM supporting 1800+ languages with 65K context. Trained on compliant open data. Apache 2.0, EU AI Act compliant.
What inputs and outputs does Apertus 8B support?
Recorded inputs: text; outputs: text.
How is Apertus 8B priced?
The pricing table shows the current recorded Moduck price. For example: Input USD 0.08 / 1M tokens; Output USD 0.16 / 1M tokens. See the pricing table for all units, variants, and conditions.
What specifications are recorded for Apertus 8B?
Current model records list Context window 65,536 tokens; Maximum output 8,192 tokens.
What model parameter does the Quickstart use?
The example uses swiss-ai/apertus-8b. 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.