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Home/Models/OpenAI/gpt-4-0613
O

gpt-4-0613

輸入:$24/M
輸出:$48/M
商業用途
概覽
功能
定價
API

Technical Specifications of gpt-4-0613

AttributeDetails
Model IDgpt-4-0613
ProviderOpenAI
Model familyGPT-4
Release snapshotJune 13, 2023 snapshot with updated behavior and function-calling support at launch
Primary modalityText input and text output
Context window8,192 tokens
Max output tokens8,192 tokens
Knowledge cutoffDecember 1, 2023
Supported API styleChat Completions-compatible GPT-4 snapshot; also listed in OpenAI model documentation as a GPT-4 snapshot
Notable capabilityEarly GPT-4 snapshot known for improved function-calling behavior introduced in the June 13, 2023 update
Pricing referenceOpenAI lists GPT-4 pricing at $30 per 1M input tokens and $60 per 1M output tokens for this GPT-4 model page.

What is gpt-4-0613

gpt-4-0613 is a pinned GPT-4 snapshot from OpenAI associated with the June 13, 2023 model update. It is commonly recognized as one of the early stable GPT-4 API versions used by developers who wanted more predictable behavior than a moving alias. OpenAI specifically introduced this snapshot as an updated GPT-4 model with improved function-calling support.

In practice, gpt-4-0613 is best understood as an older but historically important GPT-4 release for chat-based applications, structured tool invocation patterns, and production systems that benefited from version pinning. OpenAI’s current model documentation labels GPT-4 as an older high-intelligence model and includes gpt-4-0613 among the available GPT-4 snapshots.

For CometAPI users, the model ID gpt-4-0613 can be treated as the platform identifier for accessing this specific GPT-4 snapshot through a unified API workflow.

Main features of gpt-4-0613

  • Pinned GPT-4 snapshot: gpt-4-0613 refers to a fixed GPT-4 version rather than a rolling alias, which is useful when you want more stable behavior across testing and production deployments.
  • Function-calling era model: OpenAI introduced gpt-4-0613 as part of the update that added improved function calling, making it an important model for tool-use workflows and structured external actions.
  • Strong general reasoning: As a GPT-4 model, it belongs to OpenAI’s higher-intelligence class of models intended for complex instructions, multi-step reasoning, and higher-quality text generation than earlier mainstream chat models.
  • 8K context handling: The model supports an 8,192-token context window, which is suitable for moderately long prompts, multi-turn chat history, and document-grounded tasks that do not require very large context sizes.
  • Chat-oriented integration: It is designed for chat-style prompting patterns, making it a practical fit for assistants, support bots, internal copilots, and prompt-engineered business workflows.
  • Legacy compatibility value: Because many older applications were built around this GPT-4 snapshot, gpt-4-0613 remains relevant when maintaining legacy integrations, reproducing earlier outputs, or migrating gradually from older OpenAI-compatible systems. This is an inference based on its snapshot role and continued listing in model documentation.

How to access and integrate gpt-4-0613

Step 1: Sign Up for API Key

Sign up on CometAPI and create an API key from the dashboard. After that, store the key securely as an environment variable such as COMETAPI_API_KEY so your application can authenticate requests safely.

Step 2: Send Requests to gpt-4-0613 API

Use CometAPI’s OpenAI-compatible endpoint and set the model field to gpt-4-0613.

curl https://api.cometapi.com/v1/chat/completions \
  -H "Content-Type: application/json" \
  -H "Authorization: Bearer $COMETAPI_API_KEY" \
  -d '{
    "model": "gpt-4-0613",
    "messages": [
      {
        "role": "user",
        "content": "Write a short introduction for the GPT-4-0613 model."
      }
    ]
  }'
from openai import OpenAI

client = OpenAI(
    api_key="<COMETAPI_API_KEY>",
    base_url="https://api.cometapi.com/v1"
)

response = client.chat.completions.create(
    model="gpt-4-0613",
    messages=[
        {"role": "user", "content": "Write a short introduction for the GPT-4-0613 model."}
    ]
)

print(response.choices[0].message.content)

Step 3: Retrieve and Verify Results

Read the generated content from the response object, then verify output quality for your use case with representative prompts, formatting checks, and application-level validation. If you are integrating the model into production workflows, it is good practice to test consistency, latency, and fallback behavior before full deployment.

gpt-4-0613 的功能

探索 gpt-4-0613 的核心功能,專為提升效能和可用性而設計。了解這些功能如何為您的專案帶來效益並改善使用者體驗。

gpt-4-0613 的定價

探索 gpt-4-0613 的競爭性定價,專為滿足各種預算和使用需求而設計。我們靈活的方案確保您只需為實際使用量付費,讓您能夠隨著需求增長輕鬆擴展。了解 gpt-4-0613 如何在保持成本可控的同時提升您的專案效果。
彗星價格 (USD / M Tokens)官方價格 (USD / M Tokens)折扣
輸入:$24/M
輸出:$48/M
輸入:$30/M
輸出:$60/M
-20%

gpt-4-0613 的範例程式碼和 API

存取完整的範例程式碼和 API 資源,以簡化您的 gpt-4-0613 整合流程。我們詳盡的文件提供逐步指引,協助您在專案中充分發揮 gpt-4-0613 的潛力。

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