deepseek-chat

completions

bydeepseek

deepseek-chat

completions

Published by: deepseekProvider:

deepseek

DeepSeek-V3.2-Exp (Non-thinking Mode) is an advanced conversational AI model designed to provide intelligent

Released

Sep 29, 2025

Knowledge

Feb 22, 2025

License

MIT

Context

128K

Input

$0.28 / 1M tokens

Output

$0.42 / 1M tokens

Cached

$0.03 / 1M tokens

Capabilities: tools

Accepts: text

Returns: text

Released Sep 29, 2025Knowledge Cutoff: Feb 22, 2025License: MIT

Context: 128K Input: $0.28 / 1M tokensOutput: $0.42 / 1M tokensCached: $0.03 / 1M tokensCapabilities: toolsAccepts: textReturns: text

Access deepseek-chat through LangDB AI Gateway

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Integrate with deepseek's deepseek-chat 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 deepseek-chat

Category Performance Scores:

Maths: Score 59.00 (Top 43% - Rank #139)
Finance: Score 55.70 (Top 35% - Rank #113)
Science: Score 71.27 (Top 31% - Rank #100)
Writing: Score 55.24 (Top 36% - Rank #116)
Academia: Score 63.75 (Top 22% - Rank #71)
Marketing: Score 56.32 (Top 30% - Rank #97)
Programming: Score 42.80 (Top 26% - Rank #84)

Overall Performance: 57.72523809523809 average score across all categories

Detailed Benchmark Scores:

Benchmark	Score	Percentile	Domain
HLE	10.50	Top 22%	General Knowledge
GPQA	75.10	Top 29%	STEM (Physics, Chemistry, Biology)
SciCode	38.70	Top 22%	Scientific
MMLU-Pro	83.70	Top 19%	General Knowledge
LiveCodeBench	59.30	Top 34%	Programming
AA Math Index	59.00	Top 43%	Mathematics
AA Coding Index	42.80	Top 26%	Programming
AAII	52.40	Top 18%	General

GPQA Score: 75.10 - Graduate-level reasoning benchmark

Model Comparison:

Provider: deepseek

Model Type: completions

Context Size: 128000 tokens

Comparing against 322 models in the database

Category Scores

Benchmark Tests

View Other Benchmarks

HLE

10.5

General Knowledge

GPQA

75.1

STEM (Physics, Chemistry, Biology)

SciCode

38.7

Scientific

MMLU-Pro

83.7

General Knowledge

LiveCodeBench

59.3

Programming

AA Math Index

59.0

Mathematics

AA Coding Index

42.8

Programming

AAII

52.4

General

Metric	HLE	GPQA	SciCode	MMLU-Pro	LiveCodeBench	AA Math Index	AA Coding Index	AAII
Score	10.5	75.1	38.7	83.7	59.3	59.0	42.8	52.4

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Code Examples

Integration samples and API usage

Code Samples for deepseek-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="deepseek-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: "deepseek-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": "deepseek-chat",
    "messages": [
        {"role": "user", "content": "Hello, how are you?"}
    ]
  }'

Model: deepseek-chat

Provider: deepseek

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

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deepseek-chat

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Access deepseek-chat through LangDB AI Gateway

Category Scores

Benchmark Tests

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Code Examples

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