gpt-4-0314

Technical Specifications of gpt-4-0314

gpt-4-0314 is a fixed snapshot of OpenAI’s GPT-4 family dated March 14, 2023, designed to provide stable behavior for applications that need consistent outputs over time. OpenAI documents it as an older GPT-4 model snapshot in the Chat Completions API, and third-party model directories consistently describe it as the March 14, 2023 GPT-4 snapshot.

Key technical points commonly associated with gpt-4-0314 include an 8K context window, text-only operation, and use within chat-style completion workflows rather than newer multimodal or responses-first interfaces. OpenAI’s GPT-4 model documentation lists gpt-4-0314 among older GPT-4 variants, while model directories and ecosystem references describe it as an 8K snapshot intended for legacy compatibility.

As of March 26, 2026, OpenAI’s deprecations documentation indicates gpt-4-0314 has been retired and points developers toward newer replacements such as gpt-5 or gpt-4.1*, which is important context for anyone using the CometAPI platform identifier gpt-4-0314.

What is gpt-4-0314?

gpt-4-0314 is a historical GPT-4 snapshot that captures the behavior of OpenAI’s early GPT-4 release state from March 14, 2023. In practice, snapshot models like this were used when developers wanted deterministic model targeting instead of relying on a rolling alias that could change behavior as the provider updated the underlying system.

This makes gpt-4-0314 especially relevant for legacy applications, regression testing, benchmark reproduction, and systems that were originally tuned around early GPT-4 prompting behavior. Compared with newer model generations, it is best understood as a classic text-generation and reasoning model rather than a modern multimodal, long-context, or cost-optimized default. That characterization is supported by OpenAI’s positioning of GPT-4 as an older high-intelligence model and by ecosystem references describing gpt-4-0314 specifically as an older fixed-version snapshot.

Main features of gpt-4-0314

• Snapshot stability: gpt-4-0314 refers to a dated GPT-4 snapshot rather than a moving alias, which helps preserve consistent behavior for testing, evaluation, and pinned production workflows.
• Strong general reasoning: As part of the original GPT-4 family, it is suited to complex instructions, multi-step analysis, structured writing, and code-related tasks typical of early flagship GPT-4 usage.
• 8K context window: Available references consistently list gpt-4-0314 with an approximately 8,192-token context length, making it suitable for moderately long prompts and conversations, though far shorter than newer long-context models.
• Chat Completions compatibility: OpenAI’s model documentation places this model in the older Chat Completions-era GPT-4 lineup, which makes it relevant for systems built around traditional message-array request formats.
• Legacy workflow support: Because it represents an early GPT-4 behavior profile, it is useful for preserving backward compatibility in older applications or reproducing historical outputs during migrations.
• Retired upstream status: OpenAI’s deprecation documentation indicates the original upstream model has been sunset, so use through aggregators should be approached as a compatibility or legacy-access path rather than a net-new primary deployment choice.

How to access and integrate gpt-4-0314

Step 1: Sign Up for API Key

Sign up on CometAPI and create an API key from your dashboard. After that, store the key securely as an environment variable, such as COMETAPI_KEY, so your application can authenticate requests safely. CometAPI provides an OpenAI-compatible API experience, making it straightforward to work with models such as gpt-4-0314.

Step 2: Send Requests to gpt-4-0314 API

Use CometAPI’s OpenAI-compatible chat completion interface and set the model field to gpt-4-0314.

curl https://api.cometapi.com/v1/chat/completions \
  -H "Content-Type: application/json" \
  -H "Authorization: Bearer $COMETAPI_KEY" \
  -d '{
    "model": "gpt-4-0314",
    "messages": [
      {"role": "system", "content": "You are a helpful assistant."},
      {"role": "user", "content": "Explain the significance of snapshot model versions in APIs."}
    ]
  }'

Python example:

from openai import OpenAI

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

response = client.chat.completions.create(
    model="gpt-4-0314",
    messages=[
        {"role": "system", "content": "You are a helpful assistant."},
        {"role": "user", "content": "Explain the significance of snapshot model versions in APIs."}
    ]
)

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

Step 3: Retrieve and Verify Results

After receiving the response, extract the generated content from the first choice in the response object and validate that the output matches your application’s expectations for format, accuracy, and safety. If you are migrating a legacy workflow, it is also a good idea to compare responses from gpt-4-0314 against newer replacements to confirm whether pinned historical behavior is still necessary.