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OpenAI GPT 6 Astra: Modelos de linguagem grande de IA

Reason through complex text, image, e file inputs com OpenAI's GPT 6 Astra. Adjustable reasoning depth e web search. No subscription. GPT 6 Astra é da OpenAI advanced multimodal reasoning model, desenvolvido para tasks that mix text, image, e file inputs in a single conversation. It supports adjustable reasoning effort so you can trade latency for deeper multi-step logic, e can optionally call an integrated web search tool for real-time, up-to-date answers. Astra is well suited to complex analysis, coding, e research assistant workloads that need more careful reasoning than lighter chat models like GPT 5.6 Luna can reliably provide.

Carregar controles interativos

Reason through complex text, image, e file inputs com OpenAI's GPT 6 Astra. Adjustable reasoning depth e web search. No subscription.

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Visão geral

Sobre este modelo

GPT 6 Astra é da OpenAI advanced multimodal reasoning model, desenvolvido para tasks that mix text, image, e file inputs in a single conversation. It supports adjustable reasoning effort so you can trade latency for deeper multi-step logic, e can optionally call an integrated web search tool for real-time, up-to-date answers. Astra is well suited to complex analysis, coding, e research assistant workloads that need more careful reasoning than lighter chat models like GPT 5.6 Luna can reliably provide.

1Research & Analysis: Work through multi-step questions that mix text, images, e reference files in one request.
2Coding Assistance: Debug, refactor, e explain code com deeper reasoning for tricky logic errors.
3Real-Time Q&A: Enable web_search_switch to answer questions that require current, post-training information.
4Document Review: Summarize e analyze uploaded images or files alongside a written prompt.
5Agentic Workflows: Drive multi-turn tool-using agents that need strong reasoning e reliable instruction-following.
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Preço e valor

Análise de custos

muapiapp$10.00/M input, $50.00/M output

Cobrança baseada em tokens, matching OpenAI's own published rate. Minimum $0.0008 por chamada.

Fal.aiNão disponível

Não há um endpoint dedicado para GPT 6 Astra no momento.

ReplicateNão disponível

Não há um endpoint dedicado para GPT 6 Astra no momento.

** Os preços dos concorrentes são estimados com base em arquiteturas de modelos e níveis de uso semelhantes.

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Detalhes técnicos

Esquema de configuração

alertastring

.

Valor padrãoSummarize this article in three bullet points.
URL da imagemstring

Imagem URL.

Valor padrãoundefined
Alerta do sistemastring

, .

Valor padrãoYou are an expert tutor.
Troca de pesquisa na webboolean

.

Valor padrãofalse
Esforço de raciocínioEnum (4 opções)

: baixo, médio, alto x alto.

Valor padrãolow
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Guia de implementação

Documentação do desenvolvedor

Standard (Async)

POST /api/v1/gpt-6-astra — returns a request_id; poll for the result via /api/v1/predictions/{id}/result.

Streaming (SSE)

POST /api/v1/gpt-6-astra/stream — returns a live Server-Sent Events stream (Content-Type: text/event-stream). Each chunk has the format data: {"choices":[{"delta":{"content":"text"}}]}, ending com data: [DONE].

cURL Example

curl -X POST "https://api.muapi.ai/api/v1/gpt-6-astra" \
  -H "Authorization: Bearer $YOUR_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "prompt": "Walk through the tradeoffs of eventual consistency in a distributed database.",
    "reasoning_effort": "high"
  }'
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Perguntas comuns

Perguntas frequentes

O que é GPT 6 Astra best used for?

Astra é da OpenAI advanced reasoning model, desenvolvido para complex analysis, coding, e research tasks that need careful multi-step logic rather than quick, shallow responses.

How is pricing calculated for GPT 6 Astra?

O preço é baseado em tokens, a $10.00 por milhão de tokens de entrada e $50.00 por milhão de tokens de saída, com a minimum charge of $0.0008 per call.

GPT 6 Astra oferece suporte a multimodal inputs?

Yes, Astra accepts mixed text e image (image_url) inputs in a single message, alongside an optional system_prompt.

O que é reasoning effort control?

Pass a reasoning_effort value of 'low', 'medium', 'high', or 'xhigh' para controlar how much internal reasoning the model performs before responding. Higher levels improve accuracy on hard problems but increase latency e output token usage.

Can GPT 6 Astra search the web?

Yes, set web_search_switch to true to let the model call an integrated web search tool for real-time information. Web search e custom function calling are mutually exclusive per request.

Como choose between async e streaming endpoints?

Use o streaming endpoint (/gpt-6-astra/stream) for interactive chat interfaces where the user expects real-time token-by-token feedback. Use o async endpoint (/gpt-6-astra) for background tasks, workflows, e automated scripts.