DeepSeek V3.2 Exp

About DeepSeek V3.2 Exp

DeepSeek V3 represents the latest evolution of DeepSeek's flagship model, delivering exceptional performance at remarkably low costs. Using an efficient Mixture-of-Experts architecture with 671 billion total parameters but only 37 billion active per token, it achieves GPT-4-class capability while maintaining industry-leading affordability. The model excels at complex reasoning, coding, mathematics, and multilingual tasks. DeepSeek V3 features a 128K context window and demonstrates strong performance across major benchmarks. Its open weights enable self-hosting for organizations with data privacy requirements. The model has disrupted market expectations about AI pricing, proving that frontier capability doesn't require frontier costs. For developers seeking maximum capability per dollar, DeepSeek V3 offers compelling economics that have influenced pricing across the industry.

Model Specifications

💰 Real-World Cost Examples

Estimated monthly costs for common use cases

DeepSeek Model Lineup

Compare all models from DeepSeek to find the best fit

Similar Models from Other Providers

Cross-brand alternatives with similar capabilities

Qwen3 235B A22B Instruct 2507

Alibaba Qwen

Input: $0.07

Output: $0.46

Context: 262k

QwQ 32B

Alibaba Qwen

Input: $0.15

Output: $0.40

Context: 33k

Qwen2.5 72B Instruct

Alibaba Qwen

Input: $0.12

Output: $0.39

Context: 33k

Mistral Tiny

Mistral

Input: $0.25

Output: $0.25

Context: 33k

💡 Cheaper Alternatives

Same Brand (DeepSeek)

Cross Brand

🚀 Quick Start

Get started with DeepSeek V3.2 Exp API

from openai import OpenAI

client = OpenAI(
    base_url="https://api.provider.com/v1",
    api_key="YOUR_API_KEY"
)

response = client.chat.completions.create(
    model="deepseek/deepseek-v3.2-exp",
    messages=[
        {"role": "user", "content": "Hello!"}
    ]
)
print(response.choices[0].message.content)

Continue Your Decision