gpt-5

completions

byopenai

gpt-5

completions

Published by: openaiProvider:

openai

GPT-5 is OpenAI’s most advanced model, offering major improvements in reasoning, code quality, and user experience. It is optimized for complex tasks that require step-by-step reasoning, instruction following, and accuracy in high-stakes use cases. It supports test-time routing features and advanced prompt understanding, including user-specified intent like "think hard about this." Improvements include reductions in hallucination, sycophancy, and better performance in coding, writing, and health-related tasks.

Released

Aug 7, 2025

Knowledge

Oct 1, 2024

Context

400K

Input

$1.25 / 1M tokens

Output

$10 / 1M tokens

Cached

$0.13 / 1M tokens

Capabilities: tools

Accepts: text, image

Returns: text

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

Context: 400K Input: $1.25 / 1M tokensOutput: $10 / 1M tokensCached: $0.13 / 1M tokensCapabilities: toolsAccepts: text, imageReturns: text

Access gpt-5 through LangDB AI Gateway

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Integrate with openai's gpt-5 and 250+ other models through a unified API. Monitor usage, control costs, and enhance security.

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Instant Setup

99.9% Uptime

10,000+Monthly Requests

Benchmark Results for gpt-5

Category Performance Scores:

Maths: Score 94.30 (Top 1% - Rank #4)
Finance: Score 81.40 (Top 1% - Rank #4)
Science: Score 79.52 (Top 5% - Rank #16)
Writing: Score 74.41 (Top 5% - Rank #16)
Academia: Score 76.95 (Top 1% - Rank #4)
Marketing: Score 77.50 (Top 0% - Rank #0)
Programming: Score 52.70 (Top 2% - Rank #7)

Overall Performance: 76.68309523809523 average score across all categories

Detailed Benchmark Scores:

Benchmark	Score	Percentile	Domain
HLE	26.50	Top 0%	General Knowledge
AIME	95.70	Top 0%	Mathematics
GPQA	85.40	Top 3%	STEM (Physics, Chemistry, Biology)
SciCode	42.90	Top 3%	Scientific
MATH-500	99.40	Top 0%	Mathematics
MMLU-Pro	87.10	Top 1%	General Knowledge
LiveCodeBench	84.60	Top 4%	Programming
AA Math Index	94.30	Top 1%	Mathematics
AA Coding Index	52.70	Top 2%	Programming
AAII	68.50	Top 1%	General

GPQA Score: 85.40 - Graduate-level reasoning benchmark

Model Comparison:

Provider: openai

Model Type: completions

Context Size: 400000 tokens

Comparing against 319 models in the database

Performance Analytics for gpt-5

Usage Statistics (Last 3 Days):

Total Requests: 43 API calls
Average TPS: 25.96 tokens per second
Average Response Time: 16047.50ms
Average Time to First Token: 15576.40ms
Total Cost: $0.21
Average Request Cost: $0.0048

Daily Performance Breakdown:

Date	Requests	TPS	Response Time	TTFT	Cost
11/13/2025	1	91.95	29318.80ms	27307.00ms	$0.03
11/14/2025	41	20.99	15685.60ms	15250.60ms	$0.16
11/17/2025	1	97.49	17612.00ms	17202.30ms	$0.02

Performance Summary:

Model: gpt-5 by openai

Monitoring Period: 11/11/2025 to 11/18/2025

Average Daily Requests: 14

Peak Daily Requests: 41

Statistics

View Full Statistics

Request Volume

Daily API requests

Performance (TPS)

Tokens per second

25.96 tokens/s

Category Scores

maths#2 finance#2 science#8 writing#9 academia#2 marketing#1 programming#3

Benchmark Tests

View Other Benchmarks

HLE

26.5

General Knowledge

AIME

95.7

Mathematics

GPQA

85.4

STEM (Physics, Chemistry, Biology)

SciCode

42.9

Scientific

MATH-500

99.4

Mathematics

MMLU-Pro

87.1

General Knowledge

LiveCodeBench

84.6

Programming

AA Math Index

94.3

Mathematics

AA Coding Index

52.7

Programming

AAII

68.5

General

Metric	HLE	AIME	GPQA	SciCode	MATH-500	MMLU-Pro	LiveCodeBench	AA Math Index	AA Coding Index	AAII
Score	26.5	95.7	85.4	42.9	99.4	87.1	84.6	94.3	52.7	68.5

Compare with Similar Models

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Code Examples

Integration samples and API usage

Code Samples for gpt-5

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

Model: gpt-5

Provider: openai

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

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