deepseek-chat-v3-0324

completions

byparasail

deepseek-chat-v3-0324

completions

Published by: deepseekProvider:

parasail

DeepSeek V3, a 685B-parameter, mixture-of-experts model, is the latest iteration of the flagship chat model family from the DeepSeek team. It succeeds the [DeepSeek V3](/deepseek/deepseek-chat-v3) model and performs really well on a variety of tasks.

Released

Aug 21, 2025

Knowledge

Feb 22, 2025

Context

163840

Input

$0.79 / 1M tokens

Output

$1.15 / 1M tokens

Accepts: text

Returns: text

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

Context: 163840 Input: $0.79 / 1M tokensOutput: $1.15 / 1M tokensAccepts: textReturns: text

Access deepseek-chat-v3-0324 through LangDB AI Gateway

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Integrate with deepseek's deepseek-chat-v3-0324 and 250+ other models through a unified API. Monitor usage, control costs, and enhance security.

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10,000+Monthly Requests

Benchmark Results for deepseek-chat-v3-0324

Category Performance Scores:

Academia: Score 59.15 (Top 19% - Rank #68)
Finance: Score 47.25 (Top 30% - Rank #106)
Marketing: Score 53.82 (Top 26% - Rank #92)
Maths: Score 49.70 (Top 36% - Rank #128)
Programming: Score 47.20 (Top 18% - Rank #64)
Science: Score 69.84 (Top 20% - Rank #71)
Writing: Score 53.18 (Top 29% - Rank #103)

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 36%	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: parasail

Model Type: completions

Context Size: 163840 tokens

Comparing against 353 models in the database

Performance Analytics for deepseek-chat-v3-0324

Usage Statistics (Last 8 Days):

Total Requests: 915 API calls
Average TPS: 400.00 tokens per second
Average Response Time: 23376.00ms
Average Time to First Token: 5218.00ms
Total Cost: $8.24
Average Request Cost: $0.0090

Daily Performance Breakdown:

Date	Requests	TPS	Response Time	TTFT	Cost
9/22/2025	100	420.56	14570.40ms	7134.10ms	$0.60
9/23/2025	216	448.63	17457.70ms	5897.40ms	$1.64
9/24/2025	117	323.54	22906.90ms	4920.10ms	$0.84
9/25/2025	54	507.42	24494.30ms	4289.10ms	$0.65
9/26/2025	188	210.77	42217.60ms	6617.70ms	$1.61
9/27/2025	75	901.38	20300.20ms	2459.10ms	$1.31
9/28/2025	133	592.41	16565.40ms	1971.90ms	$1.25
9/29/2025	32	731.21	15491.90ms	9035.40ms	$0.35

Performance Summary:

Model: deepseek-chat-v3-0324 by parasail

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

Average Daily Requests: 114

Peak Daily Requests: 216

Statistics

View Full Statistics

Request Volume

Daily API requests

915

Performance (TPS)

Tokens per second

400.00 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-v3-0324

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-v3-0324",
    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-v3-0324",
    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-v3-0324",
    "messages": [
        {"role": "user", "content": "Hello, how are you?"}
    ]
  }'

Model: deepseek-chat-v3-0324

Provider: parasail

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

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deepseek-chat-v3-0324 by parasail - AI Model Details, Pricing, and Performance Metrics

deepseek-chat-v3-0324

deepseek-chat-v3-0324

Access deepseek-chat-v3-0324 through LangDB AI Gateway

Statistics

Category Scores

Benchmark Tests

Compare with Similar Models

Code Examples

Related Models

anubis-70b-v1.1

anubis-pro-105b-v1

codellama-7b-instruct-solidity

deepseek-chat-v3.1

deepseek-r1-0528

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