gpt-5-chat

completions

byopenai

gpt-5-chat

completions

Published by: openaiProvider:

openai

GPT-5 Chat is designed for advanced, natural, multimodal, and context-aware conversations for enterprise applications.

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-chat through LangDB AI Gateway

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

Unified API

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Enterprise Security

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Instant Setup

99.9% Uptime

10,000+Monthly Requests

Benchmark Results for gpt-5-chat

Category Performance Scores:

Academia: Score 55.20 (Top 24% - Rank #85)
Finance: Score 45.05 (Top 35% - Rank #124)
Marketing: Score 60.72 (Top 10% - Rank #36)
Maths: Score 48.30 (Top 41% - Rank #145)
Programming: Score 46.10 (Top 23% - Rank #82)
Science: Score 66.83 (Top 27% - Rank #96)
Writing: Score 58.55 (Top 16% - Rank #57)

Overall Performance: 54.39261904761905 average score across all categories

Detailed Benchmark Scores:

Benchmark	Score	Percentile	Domain
AA Coding Index	46.10	Top 23%	Programming
AAII	41.80	Top 25%	General
AA Math Index	48.30	Top 41%	Mathematics
GPQA	68.60	Top 25%	STEM (Physics, Chemistry, Biology)
HLE	5.80	Top 27%	General Knowledge
LiveCodeBench	54.30	Top 27%	Programming
MMLU-Pro	82.00	Top 18%	General Knowledge
SciCode	37.80	Top 9%	Scientific

GPQA Score: 68.60 - Graduate-level reasoning benchmark

Model Comparison:

Provider: openai

Model Type: completions

Context Size: 400000 tokens

Comparing against 353 models in the database

Performance Analytics for gpt-5-chat

Usage Statistics (Last 3 Days):

Total Requests: 9 API calls
Average TPS: 481.70 tokens per second
Average Response Time: 18310.50ms
Average Time to First Token: 1351.50ms
Total Cost: $0.12
Average Request Cost: $0.0137

Daily Performance Breakdown:

Date	Requests	TPS	Response Time	TTFT	Cost
9/22/2025	7	552.73	17376.10ms	1345.30ms	$0.09
9/23/2025	1	260.14	30675.30ms	1131.90ms	$0.02
9/24/2025	1	334.03	12486.90ms	1614.00ms	$0.01

Performance Summary:

Model: gpt-5-chat by openai

Monitoring Period: 9/22/2025 to 9/29/2025

Average Daily Requests: 3

Peak Daily Requests: 7

Statistics

View Full Statistics

Request Volume

Daily API requests

Performance (TPS)

Tokens per second

481.70 tokens/s

Category Scores

Benchmark Tests

View Other Benchmarks

AA Coding Index

46.1

Programming

AAII

41.8

General

AA Math Index

48.3

Mathematics

GPQA

68.6

STEM (Physics, Chemistry, Biology)

HLE

5.8

General Knowledge

LiveCodeBench

54.3

Programming

MMLU-Pro

82.0

General Knowledge

SciCode

37.8

Scientific

Metric	AA Coding Index	AAII	AA Math Index	GPQA	HLE	LiveCodeBench	MMLU-Pro	SciCode
Score	46.1	41.8	48.3	68.6	5.8	54.3	82.0	37.8

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Code Examples

Integration samples and API usage

Code Samples for gpt-5-chat

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

Model: gpt-5-chat

Provider: openai

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

Create API Key

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