deepseek-chat

completions

bydeepseek

deepseek-chat

completions

Published by: deepseekProvider:

deepseek

DeepSeek-V3.1 (Non-thinking Mode) is an advanced conversational AI model designed to provide intelligent

Released

Aug 21, 2025

Knowledge

Feb 22, 2025

Context

128K

Input

$0.56 / 1M tokens

Output

$1.68 / 1M tokens

Cached

$0.07 / 1M tokens

Capabilities: tools

Accepts: text

Returns: text

Released Aug 21, 2025Knowledge Cutoff: Feb 22, 2025

Context: 128K Input: $0.56 / 1M tokensOutput: $1.68 / 1M tokensCached: $0.07 / 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:

Academia: Score 59.15 (Top 19% - Rank #66)
Finance: Score 47.25 (Top 30% - Rank #104)
Marketing: Score 53.82 (Top 25% - Rank #87)
Maths: Score 49.70 (Top 37% - Rank #128)
Programming: Score 47.20 (Top 18% - Rank #63)
Science: Score 69.84 (Top 20% - Rank #69)
Writing: Score 53.18 (Top 28% - Rank #97)

Overall Performance: 54.3063492063492 average score across all categories

Detailed Benchmark Scores:

Benchmark	Score	Percentile	Domain
AA Coding Index	47.20	Top 18%	Programming
AAII	44.80	Top 17%	General
AA Math Index	49.70	Top 37%	Mathematics
GPQA	73.50	Top 20%	STEM (Physics, Chemistry, Biology)
HLE	6.30	Top 20%	General Knowledge
LiveCodeBench	57.70	Top 22%	Programming
MMLU-Pro	83.30	Top 12%	General Knowledge
SciCode	36.70	Top 13%	Scientific

GPQA Score: 73.50 - Graduate-level reasoning benchmark

Model Comparison:

Provider: deepseek

Model Type: completions

Context Size: 128000 tokens

Comparing against 345 models in the database

Performance Analytics for deepseek-chat

Usage Statistics (Last 5 Days):

Total Requests: 159 API calls
Average TPS: 820.51 tokens per second
Average Response Time: 17794.00ms
Average Time to First Token: 9255.00ms
Total Cost: $0.35
Average Request Cost: $0.0022

Daily Performance Breakdown:

Date	Requests	TPS	Response Time	TTFT	Cost
9/14/2025	1	0.00	813.20ms	813.20ms	$0.00
9/15/2025	2	0.00	993.50ms	993.50ms	$0.00
9/17/2025	1	0.00	1136.40ms	1136.40ms	$0.00
9/18/2025	12	753.80	24964.90ms	4212.70ms	$0.06
9/19/2025	143	829.70	17662.40ms	9909.50ms	$0.30

Performance Summary:

Model: deepseek-chat by deepseek

Monitoring Period: 9/13/2025 to 9/20/2025

Average Daily Requests: 32

Peak Daily Requests: 143

Statistics

View Full Statistics

Request Volume

Daily API requests

159

Performance (TPS)

Tokens per second

820.51 tokens/s

Category Scores

Benchmark Tests

View Other Benchmarks

AA Coding Index

47.2

Programming

AAII

44.8

General

AA Math Index

49.7

Mathematics

GPQA

73.5

STEM (Physics, Chemistry, Biology)

HLE

6.3

General Knowledge

LiveCodeBench

57.7

Programming

MMLU-Pro

83.3

General Knowledge

SciCode

36.7

Scientific

Metric	AA Coding Index	AAII	AA Math Index	GPQA	HLE	LiveCodeBench	MMLU-Pro	SciCode
Score	47.2	44.8	49.7	73.5	6.3	57.7	83.3	36.7

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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

deepseek-chat

Access deepseek-chat through LangDB AI Gateway

Statistics

Category Scores

Benchmark Tests

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Code Examples

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