gpt-5-mini

completions

byopenai

gpt-5-mini

completions

Published by: openaiProvider:

openai

GPT-5 Mini is a compact version of GPT-5, designed to handle lighter-weight reasoning tasks. It provides the same instruction-following and safety-tuning benefits as GPT-5, but with reduced latency and cost. GPT-5 Mini is the successor to OpenAI's o4-mini model.

Released

Aug 7, 2025

Knowledge

Oct 1, 2024

Context

400K

Input

$0.25 / 1M tokens

Output

$2 / 1M tokens

Cached

$0.03 / 1M tokens

Capabilities: tools

Accepts: text, image

Returns: text

Released Aug 7, 2025Knowledge Cutoff: Oct 1, 2024

Context: 400K Input: $0.25 / 1M tokensOutput: $2 / 1M tokensCached: $0.03 / 1M tokensCapabilities: toolsAccepts: text, imageReturns: text

Access gpt-5-mini through LangDB AI Gateway

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Benchmark Results for gpt-5-mini

Category Performance Scores:

Academia: Score 74.10 (Top 3% - Rank #11)
Marketing: Score 50.17 (Top 15% - Rank #53)
Programming: Score 51.40 (Top 12% - Rank #42)
Science: Score 82.80 (Top 6% - Rank #21)
Writing: Score 38.41 (Top 14% - Rank #49)

Overall Performance: 59.376 average score across all categories

Detailed Benchmark Scores:

Benchmark	Score	Percentile	Domain
AA Coding Index	51.40	Top 12%	Programming
AAII	65.40	Top 3%	General
GPQA	82.80	Top 6%	STEM (Physics, Chemistry, Biology)
HLE	19.70	Top 3%	General Knowledge
LiveCodeBench	63.60	Top 15%	Programming
MMLU-Pro	83.70	Top 8%	General Knowledge
SciCode	39.20	Top 8%	Scientific

GPQA Score: 82.80 - Graduate-level reasoning benchmark

Model Comparison:

Provider: openai

Model Type: completions

Context Size: 400000 tokens

Comparing against 347 models in the database

Category Scores

academia#6 marketing#15 programming#12 science#9 writing#17

Benchmark Tests

View Other Benchmarks

AA Coding Index

51.4

Programming

AAII

65.4

General

GPQA

82.8

STEM (Physics, Chemistry, Biology)

HLE

19.7

General Knowledge

LiveCodeBench

63.6

Programming

MMLU-Pro

83.7

General Knowledge

SciCode

39.2

Scientific

Metric	AA Coding Index	AAII	GPQA	HLE	LiveCodeBench	MMLU-Pro	SciCode
Score	51.4	65.4	82.8	19.7	63.6	83.7	39.2

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Code Examples

Integration samples and API usage

Code Samples for gpt-5-mini

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-5-mini",
    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-5-mini",
    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-5-mini",
    "messages": [
        {"role": "user", "content": "Hello, how are you?"}
    ]
  }'

Model: gpt-5-mini

Provider: openai

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

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Benchmark Tests

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