gpt-4o-mini-search-preview

completions

byopenai

gpt-4o-mini-search-preview

completions

Published by: openaiProvider:

openai

GPT-4o mini Search Preview is a specialized model trained to understand and execute web search queries with the Chat Completions API.

Released

Jul 18, 2024

Knowledge

Oct 1, 2023

License

Proprietary

Context

128K

Input

$0.15 / 1M tokens

Output

$0.6 / 1M tokens

Accepts: text

Returns: text

Released Jul 18, 2024Knowledge Cutoff: Oct 1, 2023License: Proprietary

Context: 128K Input: $0.15 / 1M tokensOutput: $0.6 / 1M tokensAccepts: textReturns: text

Access gpt-4o-mini-search-preview through LangDB AI Gateway

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Integrate with openai's gpt-4o-mini-search-preview and 250+ other models through a unified API. Monitor usage, control costs, and enhance security.

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99.9% Uptime

10,000+Monthly Requests

Benchmark Results for gpt-4o-mini-search-preview

Category Performance Scores:

Science: Score 58.59 (Top 48% - Rank #166)
Vision: Score 59.40 (Top 77% - Rank #266)
Writing: Score 40.20 (Top 54% - Rank #187)

Overall Performance: 52.729629629629635 average score across all categories

Detailed Benchmark Scores:

Benchmark	Score	Percentile	Domain
DROP	79.70	Top 63%	General Knowledge
GPQA	40.20	Top 73%	STEM (Physics, Chemistry, Biology)
HumanEval	87.20	Top 49%	Programming
MMLU	82.00	Top 60%	General Knowledge
MMMU	59.40	Top 77%	General Knowledge

MMLU Score: 82.00 - Massive Multitask Language Understanding benchmark

HumanEval Score: 87.20 - Coding capability benchmark

GPQA Score: 40.20 - Graduate-level reasoning benchmark

Model Comparison:

Provider: openai

Model Type: completions

Context Size: 128000 tokens

Comparing against 345 models in the database

Performance Analytics for gpt-4o-mini-search-preview

Usage Statistics (Last 1 Days):

Total Requests: 2 API calls
Average TPS: 7.75 tokens per second
Average Response Time: 580.70ms
Average Time to First Token: 580.70ms
Total Cost: $0.00
Average Request Cost: $0.0000

Daily Performance Breakdown:

Date	Requests	TPS	Response Time	TTFT	Cost
9/16/2025	2	7.75	580.70ms	580.70ms	$0.00

Performance Summary:

Model: gpt-4o-mini-search-preview by openai

Monitoring Period: 9/13/2025 to 9/20/2025

Average Daily Requests: 2

Peak Daily Requests: 2

Statistics

View Full Statistics

Request Volume

Daily API requests

Performance (TPS)

Tokens per second

7.75 tokens/s

Category Scores

Benchmark Tests

View Other Benchmarks

DROP

79.7

General Knowledge

GPQA

40.2

STEM (Physics, Chemistry, Biology)

HumanEval

87.2

Programming

MMLU

82.0

General Knowledge

MMMU

59.4

General Knowledge

Metric	DROP	GPQA	HumanEval	MMLU	MMMU
Score	79.7	40.2	87.2	82.0	59.4

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Code Examples

Integration samples and API usage

Code Samples for gpt-4o-mini-search-preview

Python SDK Example:

from openai import OpenAI

client = OpenAI(
    base_url="https://api.us-east-1.langdb.ai/projects/<your_project_id>",
    api_key="<your_api_key>"
)

response = client.chat.completions.create(
    model="gpt-4o-mini-search-preview",
    messages=[
        {"role": "user", "content": "Hello, how are you?"}
    ]
)

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

TypeScript SDK Example:

import OpenAI from 'openai';

const client = new OpenAI({
    baseURL: "https://api.us-east-1.langdb.ai/projects/<your_project_id>",
    apiKey: "<your_api_key>"
});

const response = await client.chat.completions.create({
    model: "gpt-4o-mini-search-preview",
    messages: [
        { role: "user", content: "Hello, how are you?" }
    ]
});

console.log(response.choices[0].message.content);

cURL Example:

curl -X POST "https://api.us-east-1.langdb.ai/projects/<your_project_id>/v1/chat/completions" \
  -H "Authorization: Bearer <your_api_key>" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "gpt-4o-mini-search-preview",
    "messages": [
        {"role": "user", "content": "Hello, how are you?"}
    ]
  }'

Model: gpt-4o-mini-search-preview

Provider: openai

API Endpoint: $https://api.us-east-1.langdb.ai

Create API Key

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Access gpt-4o-mini-search-preview through LangDB AI Gateway

Statistics

Category Scores

Benchmark Tests

Compare with Similar Models

Code Examples

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