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GPT-6 Astra on Felo OpenAPI: 1.05M Context, One Model ID

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Felo OpenAPI adds GPT-6 Astra with a 1.05M context window, 128K max output, and compatible Chat Completions, Responses, and Messages endpoints.

GPT-6 Astra API infographic cover showing 1.05M context, 128K max output, $5 input, and $30 output

Long documents, complex code, and multi-step agent flows force teams to split model calls. Felo OpenAPI offers GPT-6 Astra, so one model ID can handle these workloads through compatible API surfaces.

Try GPT-6 Astra: https://openapi.felo.ai/models/openai/gpt-6-astra

What GPT-6 Astra is built for

GPT-6 Astra is the flagship GPT-6 tier on Felo API Platform. The model page positions it for complex reasoning, advanced coding, long-context analysis, and high-capability agent workflows. It lists Reasoning, Tools, JSON, Streaming, and Vision as capabilities.

Use the model ID gpt-6-astra. The context window is 1.05M tokens and the maximum output is 128K tokens. This capacity lets a request hold a specification, a codebase summary, tool definitions, and conversation history in one working context.

Three protocols, one model ID

Felo API Platform exposes three compatible request surfaces:

  • Chat Completions: POST https://openapi.felo.ai/api/v1/chat/completions
  • Responses: POST https://openapi.felo.ai/api/v1/responses
  • Messages: POST https://openapi.felo.ai/api/v1/messages

An app with an OpenAI-compatible client can keep its request structure and change the model value to gpt-6-astra. Claude-style clients can use the Anthropic-compatible Messages surface. The model page lists Claude Code, Codex, LLM API, and other agent clients as use cases.

Pricing that belongs in the budget

The model page lists these rates:

ItemRate
Input$5.00 per 1M tokens
Output$30.00 per 1M tokens

The page says launch pricing may be up to 50% lower than official provider API rates. Final cost depends on the model, input/output mix, cache use, and active plan. A cost estimate includes each variable; the headline rate is not the full bill.

Make a first request in five steps

1. Create an API key

Create a key in your Felo API Platform account and set it as an environment variable:

export FELO_API_KEY="YOUR_API_KEY"

2. Set the endpoint

For Chat Completions, use:

https://openapi.felo.ai/api/v1/chat/completions

3. Set the model ID

Pass "model": "gpt-6-astra" with a messages array. This cURL request tests the route:

curl https://openapi.felo.ai/api/v1/chat/completions \
-H "Authorization: Bearer $FELO_API_KEY" \
-H "Content-Type: application/json" \
-d '{
"model": "gpt-6-astra",
"messages": [{"role": "user", "content": "Explain this API error."}]
}'

4. Add tools or structured output

Compatible parameters include tools, tool_choice, and response_format. Support for each control depends on the selected protocol and model route. GPT-6 Astra supports reasoning; when the protocol and route expose reasoning controls, preserve returned reasoning metadata when continuing a conversation.

5. Turn on streaming

Set stream to true to receive server-sent events:

{
"model": "gpt-6-astra",
"stream": true,
"messages": [{"role": "user", "content": "Summarize this log."}]
}

A preflight checklist

  • Estimate input cost against the 1.05M context window.
  • Set max_tokens to keep output within the project budget.
  • Record input, output, cache, and plan data for each request estimate.
  • Test prompts in the Playground before connecting an app or agent client.
  • Keep regression samples for tools, JSON output, and streaming.

Start with the model page

GPT-6 Astra puts reasoning, coding, long-context analysis, and agent work behind one model entry. Felo OpenAPI gives teams a migration path through Chat Completions, Responses, and Messages. An existing client can stay in place while the request surface changes to match the workload.

Open the GPT-6 Astra model page for parameters, code samples, and the Playground entry.

Source: Felo API Platform, GPT-6 Astra model page (accessed 2026-09-03).