gpt-6-astra
everyais/gpt-6-astra
gpt-6-astra (everyais/gpt-6-astra) availability, capabilities, context limits, and public reference pricing on everyais.
Available now
Method
The page starts with current public catalog metadata and reference costs; operational metrics are added only when measured samples are available.
Source and update
GET /models/catalogUpdated
- Model type
- Chat
- Released
- 2026-09-08
- Context window
- 8K
- Price unit
- Per 1M tokens
- Maximum output
- 4,096
- Model reference price (USD)
- Standard (≤272K): Input $10 · Output $50 /1M · Long context (>272K, full request): Input $20 · Output $75 /1M
- Cache reference price (USD)
- Cache read $1 /1M · Cache write $12.5 /1M
Capabilities
- ✓ Streaming
- ✓ Tool use
- ✓ JSON
- ✓ Reasoning
- ✓ structured_outputs
- ✓ parallel_tool_calls
Supported endpoints
- /v1/chat/completions
Code example
Use the OpenAI SDK by changing only base_url.
from openai import OpenAI
client = OpenAI(
api_key="everyais_...",
base_url="https://api.everyais.com/v1",
)
response = client.chat.completions.create(
model="everyais/gpt-6-astra",
messages=[{"role": "user", "content": "Hello"}],
)
print(response.choices[0].message.content)Estimate this model's monthly cost
For token-priced models, estimate USD catalog reference cost from monthly requests and average input/output tokens. Your actual billed rate can differ by account.