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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Benchmark Results for gpt-5-chat

Category Performance Scores:

Maths: Score 48.30 (Top 51% - Rank #164)
Finance: Score 45.05 (Top 48% - Rank #154)
Science: Score 66.83 (Top 38% - Rank #122)
Writing: Score 58.55 (Top 23% - Rank #74)
Academia: Score 55.20 (Top 37% - Rank #119)
Marketing: Score 60.72 (Top 20% - Rank #64)
Programming: Score 34.70 (Top 45% - Rank #144)

Overall Performance: 52.764047619047616 average score across all categories

Detailed Benchmark Scores:

Benchmark	Score	Percentile	Domain
HLE	5.80	Top 39%	General Knowledge
GPQA	68.60	Top 39%	STEM (Physics, Chemistry, Biology)
SciCode	37.80	Top 22%	Scientific
MMLU-Pro	82.00	Top 26%	General Knowledge
LiveCodeBench	54.30	Top 37%	Programming
AA Math Index	48.30	Top 51%	Mathematics
AA Coding Index	34.70	Top 45%	Programming
AAII	41.80	Top 34%	General

GPQA Score: 68.60 - Graduate-level reasoning benchmark

Model Comparison:

Provider: openai

Model Type: completions

Context Size: 400000 tokens

Comparing against 320 models in the database

Category Scores

Benchmark Tests

View Other Benchmarks

HLE

5.8

General Knowledge

GPQA

68.6

STEM (Physics, Chemistry, Biology)

SciCode

37.8

Scientific

MMLU-Pro

82.0

General Knowledge

LiveCodeBench

54.3

Programming

AA Math Index

48.3

Mathematics

AA Coding Index

34.7

Programming

AAII

41.8

General

Metric	HLE	GPQA	SciCode	MMLU-Pro	LiveCodeBench	AA Math Index	AA Coding Index	AAII
Score	5.8	68.6	37.8	82.0	54.3	48.3	34.7	41.8

Compare with Similar Models

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/

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