l3-8b-stheno-v3.2Sao10K
- endpoints
- 1
- regions
- 1
- api
- chat
- released
- December 2024
capabilities 0/8
| # | flags | ||||||
|---|---|---|---|---|---|---|---|
| 1 |  Novita AI | Global | 8K | $0.05 | $0.05 | $0.05 | zdr |
no measured traffic for this model yet. the endpoints table above carries provider pricing
no published benchmark scores for this model
novita/sao10k/l3-8b-stheno-v3.2this model has no managed policy yet, so call the provider endpoint directly. every id in the endpoints table works the same way
Base url is https://router.requesty.ai/v1 for every id here. One key reaches the whole catalog.
from openai import OpenAI client = OpenAI( api_key="YOUR_REQUESTY_API_KEY", base_url="https://router.requesty.ai/v1",) response = client.chat.completions.create( model="novita/sao10k/l3-8b-stheno-v3.2", messages=[ {"role": "user", "content": "Explain quantum computing in one paragraph."}, ],) print(response.choices[0].message.content)
Change the base url, use your Requesty key, set the model to any id in the call pane. Existing OpenAI SDK code needs no other edit, and the same key reaches every other model in the catalog, so switching later is a one-parameter change. Browse all models
Sao10K/L3-8B-Stheno-v3.2 is a highly skilled actor that excels at fully immersing itself in any role assigned.
questions 5
Which providers serve l3-8b-stheno-v3.2?
How much does l3-8b-stheno-v3.2 cost?
Is l3-8b-stheno-v3.2 open weights?
What is the context window of l3-8b-stheno-v3.2?
How do I use l3-8b-stheno-v3.2 with the OpenAI SDK?
more from sao10k 2
| model | context | from /M | providers |
|---|---|---|---|
| l31-70b-euryale-v2.2 | 16K | $1.48 | 1 |
| l3-8b-lunaris | 8K | $0.05 | 1 |
route l3-8b-stheno-v3.2 through one endpoint
One key for 1 provider on this model and 600+ others. No markup on provider prices, automatic failover, caching built in. Weekly aggregates in the measured pane come from production traffic routed through Requesty, one line per provider on a shared axis. Methodology