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Краткий вывод

  • Best for high-complexity reasoning, planning, and code analysis workflows.
  • Uses OpenAI-compatible format: POST /v1/chat/completions for low-friction SDK migration.
  • Supports stream=true SSE output for IDE copilots and real-time assistants.

Ключевые параметры

  • model | string | обяз. | gpt-5-4-nano-official | - | Model ID for this page (for example gpt-5-4-nano-official).
  • messages | object[] | обяз. | - | - | Conversation messages in chronological order with system/user/assistant roles.
  • max_tokens | integer | опц. | - | >=1 | Maximum output tokens (model default applies when omitted).
  • stream | boolean | опц. | false | - | Whether to enable SSE streaming output.
  • temperature | number | опц. | 1 | 0-2 | Sampling temperature controlling randomness.
  • top_p | number | опц. | 1 | 0-1 | Nucleus sampling threshold; avoid aggressively tuning with temperature together.
  • stop | string | string[] | опц. | - | - | Stop sequence(s), up to 4 entries.
  • Authorization | HTTP Header | обяз. | - | - | Bearer auth: Authorization: Bearer <YOUR_API_KEY>.

Частые ошибки

  • 400 invalid_request_error: триггер=Missing required fields or invalid field types in payload.; исправление=Validate model, messages, and parameter types.; повтор=Retry only after fixing payload.
  • 401 authentication_error: триггер=Missing/invalid auth header or invalid API key.; исправление=Verify Authorization header format and key validity.; повтор=Retry after auth is fixed.
  • 429 rate_limit_error: триггер=Request rate, concurrency, or current quota hits upstream rate limiting.; исправление=Apply exponential backoff first, then review request rate, concurrency, and quota usage.; повтор=Use 1s/2s/4s backoff with jitter; if it persists, reduce submission pressure.
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Разбор модели

Gpt 5 4 Nano Official

Model ID: gpt-5-4-nano-official

Вендор: OpenAIМодальности: ChatЦена: Input $0.16/1M, Output $0.96/1MОбновлено: 2026-05-02

Gpt 5 4 Nano Official is a high-end general model for complex reasoning and high-quality text/code generation. This page focuses on OpenAI Chat Completions integration, key parameters, and production-oriented implementation.

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Обзор модели

Quick Answer

  • Best for high-complexity reasoning, planning, and code analysis workflows.
  • Uses OpenAI-compatible format: POST /v1/chat/completions for low-friction SDK migration.
  • Supports stream=true SSE output for IDE copilots and real-time assistants.

Gpt 5 4 Nano Official Возможности модели

Ключевой блок

Ключевые возможности и практическая ценность

Complex reasoning and decomposition

Strong at long-chain reasoning, option comparison, and constraint-aware planning.

High-quality code and technical writing

Useful for code explanation, refactoring proposals, tests, and technical drafts.

OpenAI-compatible integration

Reuses Chat Completions payloads and existing SDK pipelines with minimal changes.

Streaming for real-time UX

Supports stream=true for progressive rendering in interactive applications.

Output controllability

Tune style and determinism with system prompts, temperature, top_p, and stop.

Production-ready operation

Works well with auth, retries, rate controls, and observability practices.

Как использовать API Gpt 5 4 Nano Official

  1. Create an API key and set Authorization: Bearer <YOUR_API_KEY>.
  2. POST to /v1/chat/completions with at least model and messages.
  3. Tune max_tokens, temperature, top_p, and stop for your scenario.
  4. Enable stream=true and process SSE chunks for real-time rendering.
  5. Finalize with finish_reason and usage metrics for observability.
Gpt 5 4 Nano Official

Когда использовать

  • When handling complex reasoning, technical evaluation, and coding analysis tasks.
  • When you want OpenAI-compatible integration with minimal migration work.
  • When streaming output is needed for responsive interactive UX.

Особенности работы API

  • Requests are sent to POST /v1/chat/completions using OpenAI Chat Completions format.
  • stream=true returns SSE chunks, while stream=false returns a full response.
  • Use choices and finish_reason for completion handling, with usage for token accounting.
Gpt 5 4 Nano Official

Key Parameters

ParameterTypeRequiredDefaultRangeDescription
modelstringYesgpt-5-4-nano-official-Model ID for this page (for example gpt-5-4-nano-official).
messagesobject[]Yes--Conversation messages in chronological order with system/user/assistant roles.
max_tokensintegerNo->=1Maximum output tokens (model default applies when omitted).
streambooleanNofalse-Whether to enable SSE streaming output.
temperaturenumberNo10-2Sampling temperature controlling randomness.
top_pnumberNo10-1Nucleus sampling threshold; avoid aggressively tuning with temperature together.
stopstring | string[]No--Stop sequence(s), up to 4 entries.
AuthorizationHTTP HeaderYes--Bearer auth: Authorization: Bearer <YOUR_API_KEY>.

Common Errors

400 invalid_request_error

Trigger: Missing required fields or invalid field types in payload.

Fix: Validate model, messages, and parameter types.

Retry: Retry only after fixing payload.

401 authentication_error

Trigger: Missing/invalid auth header or invalid API key.

Fix: Verify Authorization header format and key validity.

Retry: Retry after auth is fixed.

429 rate_limit_error

Trigger: Request rate, concurrency, or current quota hits upstream rate limiting.

Fix: Apply exponential backoff first, then review request rate, concurrency, and quota usage.

Retry: Use 1s/2s/4s backoff with jitter; if it persists, reduce submission pressure.

FAQ

What is Gpt 5 4 Nano Official best for?

It is best for complex reasoning, technical Q&A, code analysis, and high-quality content generation.

What is the fastest integration path?

Use OpenAI-compatible format: POST to /v1/chat/completions with model and messages.

How should streaming be handled?

Set stream=true and process SSE chunks incrementally, then finalize using finish_reason.

How to choose temperature vs top_p?

Start with temperature first; tune top_p only when needed, and avoid over-tuning both together.

Mode Notes

Chat Completions with Gpt 5 4 Nano Official

OpenAI-compatible endpoint for low-friction SDK reuse.

Mode Parameters

modelmessagesmax_tokenstemperaturetop_pstopstream

Best Scenarios

  • General Q&A assistants
  • Code explanation and refactor guidance
  • Technical writing

Streaming with Gpt 5 4 Nano Official

Enable stream for incremental SSE output in real-time interfaces.

Mode Parameters

streammessagesmax_tokens

Best Scenarios

  • IDE copilots
  • Progressive chat rendering
  • Terminal assistants

Tool Calling with Gpt 5 4 Nano Official

Extend with external tools/functions where tool-capable workflows are enabled.

Mode Parameters

toolstool_choicemessagesmax_tokens

Best Scenarios

  • RAG-style assistant
  • Automated test execution
  • Multi-step agent workflows

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