Краткий вывод

  • Supports Chat Completions for low-friction SDK migration.
  • Supports streaming and tool-calling for agent workflows.
  • Stabilize system/messages parameters before production rollout.

Ключевые параметры

  • model | string | обяз. | gpt-5-3-codex-spark | - | Exact model identifier from ToAPIs.
  • messages | object[] | обяз. | - | - | Conversation messages in chronological order.
  • max_tokens | integer | обяз. | - | >=1 | Maximum output tokens.
  • stream | boolean | опц. | false | - | Enable SSE streaming output.
  • tools | object[] | опц. | - | - | Tool/function definitions for tool-calling.

Частые ошибки

  • 400 invalid_request_error: триггер=Missing fields or invalid payload types.; исправление=Validate model/messages/max_tokens schema.; повтор=Retry only after payload fix.
  • 401 authentication_error: триггер=Missing or invalid API key.; исправление=Verify Authorization header and key scope.; повтор=Retry after authentication fix.

Разбор модели

Gpt 5 3 Codex Spark

Model ID: gpt-5-3-codex-spark

Вендор: OpenAIМодальности: ChatЦена: Input $0.35/1M, Output $2.80/1MОбновлено: 2026-05-02

Gpt 5 3 Codex Spark by OpenAI is designed for chat, reasoning, and tool-calling workflows with ToAPIs-aligned integration contracts.

Обзор модели

Quick Answer

  • Supports Chat Completions for low-friction SDK migration.
  • Supports streaming and tool-calling for agent workflows.
  • Stabilize system/messages parameters before production rollout.

Gpt 5 3 Codex Spark Возможности модели

Ключевой блок

Ключевые возможности и практическая ценность

Chat and reasoning

Supports multi-turn context and structured outputs.

Streaming output

SSE token streaming for real-time UX.

Tool calling

Compose retrieval/execution workflows with tools.

Как использовать API Gpt 5 3 Codex Spark

  1. Set Authorization: Bearer <YOUR_API_KEY>.
  2. Call chat endpoint with model, messages, and max_tokens.
  3. Enable stream or tools when needed.
  4. Handle stop_reason for completion or tool continuation.
Gpt 5 3 Codex Spark

Когда использовать

  • When building coding/Q&A assistants and task agents.
  • When streaming and tool-calling are required.

Особенности работы API

  • API calls are stateless; pass full context via messages.
  • With stream=true, responses return as SSE events.
Gpt 5 3 Codex Spark

Key Parameters

ParameterTypeRequiredDefaultRangeDescription
modelstringYesgpt-5-3-codex-spark-Exact model identifier from ToAPIs.
messagesobject[]Yes--Conversation messages in chronological order.
max_tokensintegerYes->=1Maximum output tokens.
streambooleanNofalse-Enable SSE streaming output.
toolsobject[]No--Tool/function definitions for tool-calling.

Common Errors

400 invalid_request_error

Trigger: Missing fields or invalid payload types.

Fix: Validate model/messages/max_tokens schema.

Retry: Retry only after payload fix.

401 authentication_error

Trigger: Missing or invalid API key.

Fix: Verify Authorization header and key scope.

Retry: Retry after authentication fix.

FAQ

What is Gpt 5 3 Codex Spark best for?

Best for chat, reasoning, coding, and tool-calling assistant workflows.

Mode Notes

Chat Completions with Gpt 5 3 Codex Spark

OpenAI-compatible chat entrypoint for fast integration.

Mode Parameters

modelmessagestemperaturemax_tokensstream

Best Scenarios

  • Q&A assistant
  • Coding copilot
  • Workflow orchestration

Streaming with Gpt 5 3 Codex Spark

Enable stream for incremental SSE responses.

Mode Parameters

streammessagesmax_tokens

Best Scenarios

  • Realtime assistant
  • Terminal output
  • Incremental rendering

Tool Calling with Gpt 5 3 Codex Spark

Declare tools to trigger external actions.

Mode Parameters

toolstool_choicemessagesmax_tokens

Best Scenarios

  • Auto test runs
  • Retrieval QA
  • Multi-step agents

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