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

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, 2025

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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99.9% Uptime

10,000+Monthly Requests

Benchmark Results for deepseek-chat

Category Performance Scores:

Maths: Score 49.70 (Top 49% - Rank #157)
Finance: Score 47.25 (Top 45% - Rank #144)
Science: Score 69.84 (Top 30% - Rank #96)
Writing: Score 53.18 (Top 39% - Rank #125)
Academia: Score 59.15 (Top 31% - Rank #100)
Marketing: Score 53.82 (Top 38% - Rank #122)
Programming: Score 39.00 (Top 33% - Rank #106)

Overall Performance: 53.13492063492064 average score across all categories

Detailed Benchmark Scores:

Benchmark	Score	Percentile	Domain
HLE	6.30	Top 35%	General Knowledge
GPQA	73.50	Top 30%	STEM (Physics, Chemistry, Biology)
SciCode	36.70	Top 24%	Scientific
MMLU-Pro	83.30	Top 19%	General Knowledge
LiveCodeBench	57.70	Top 32%	Programming
AA Math Index	49.70	Top 49%	Mathematics
AA Coding Index	39.00	Top 33%	Programming
AAII	44.80	Top 28%	General

GPQA Score: 73.50 - Graduate-level reasoning benchmark

Model Comparison:

Provider: deepseek

Model Type: completions

Context Size: 128000 tokens

Comparing against 320 models in the database

Performance Analytics for deepseek-chat

Usage Statistics (Last 7 Days):

Total Requests: 372 API calls
Average TPS: 823.15 tokens per second
Average Response Time: 12803.00ms
Average Time to First Token: 1598.60ms
Total Cost: $0.28
Average Request Cost: $0.0007

Daily Performance Breakdown:

Date	Requests	TPS	Response Time	TTFT	Cost
11/11/2025	1	1376.79	19117.00ms	2088.30ms	$0.00
11/12/2025	6	100.55	9667.00ms	1098.60ms	$0.00
11/13/2025	77	649.13	19508.40ms	1606.70ms	$0.08
11/14/2025	1	325.03	45100.00ms	3159.40ms	$0.01
11/15/2025	48	2057.11	9780.30ms	2003.50ms	$0.05
11/16/2025	18	609.55	11854.70ms	1440.50ms	$0.01
11/17/2025	221	734.16	11110.90ms	1524.90ms	$0.14

Performance Summary:

Model: deepseek-chat by deepseek

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

Average Daily Requests: 53

Peak Daily Requests: 221

Statistics

View Full Statistics

Request Volume

Daily API requests

372

Performance (TPS)

Tokens per second

823.15 tokens/s

Category Scores

Benchmark Tests

View Other Benchmarks

HLE

6.3

General Knowledge

GPQA

73.5

STEM (Physics, Chemistry, Biology)

SciCode

36.7

Scientific

MMLU-Pro

83.3

General Knowledge

LiveCodeBench

57.7

Programming

AA Math Index

49.7

Mathematics

AA Coding Index

39.0

Programming

AAII

44.8

General

Metric	HLE	GPQA	SciCode	MMLU-Pro	LiveCodeBench	AA Math Index	AA Coding Index	AAII
Score	6.3	73.5	36.7	83.3	57.7	49.7	39.0	44.8

Compare with Similar Models

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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Access deepseek-chat through LangDB AI Gateway

Statistics

Category Scores

Benchmark Tests

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Code Examples

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