Astra V1 Pro
Astra V1 Pro is LW AI's multi-model fusion LLM that uses intelligent routing and ensemble inference to dynamically select and combine the best models for each query. It delivers superior cost-performance by automatically optimizing across model selection, latency, and accuracy.
Quick Reference
| Property | Value |
|---|---|
| Model ID | astra |
| Context window | 1,000,000 tokens |
| Streaming | ✓ |
| Structured output | ✓ |
| Batch API | ✓ |
Pricing
| Type | Price |
|---|---|
| Input | $0.07 / 1M tokens / 1M tokens |
| Output | $0.13 / 1M tokens / 1M tokens |
How It Works
Astra V1 Pro automatically routes each request through the optimal model(s) based on:
- Task complexity — Simple queries use faster, cheaper models; complex reasoning uses more powerful models
- Cost optimization — Dynamically selects the most cost-effective model for the required quality level
- Ensemble inference — Combines outputs from multiple models for critical tasks requiring high accuracy
Example
from openai import OpenAI
client = OpenAI(
base_url="https://openapi.linkwo.ai/v1",
api_key="YOUR_API_KEY"
)
response = client.chat.completions.create(
model="astra",
messages=[
{"role": "user", "content": "Analyze this financial report and provide key metrics: ..."}
],
temperature=0.3
)
print(response.choices[0].message.content)Best Practices
- Use for general-purpose tasks where automatic model selection adds value
- Combine with specific models (DeepSeek V4 Pro, GLM-5.1) when you need deterministic model behavior
- Leverage for cost-sensitive applications that still require high quality
Related
- Yantronic V1 Pro — Vertical domain model for finance and energy
- Model Overview — All available models