Using DeepSeek V3 on DeepInfra

Implementation guide · DeepSeek V3 · DeepSeek

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DeepInfra exposes DeepSeek V3 through model ID deepseek-ai/DeepSeek-V3. Use the setup steps, sourced pricing, capabilities, and official provider links below to validate this route before deployment.

Last refreshed 2026-06-15. Next refresh: weekly.

Quick Start

1
Create an account at DeepInfra and generate an API key.
2
Use the DeepInfra SDK or REST API to call deepseek-ai/DeepSeek-V3 — see the documentation for request format.
3
You'll be billed $0.32/1M input, $0.89/1M output tokens. See full pricing.

API Portal Documentation Pricing Model Card

Code Examples

Install

pip install openai

API key

DEEPINFRA_API_KEY

Model ID

deepseek-ai/DeepSeek-V3

DeepInfra uses "organization/model-name" format, e.g. "meta-llama/Meta-Llama-3-8B-Instruct" or "mistralai/Mistral-7B-Instruct-v0.3". See the DeepInfra model catalog for exact IDs.

import os
from openai import OpenAI

client = OpenAI(
    api_key=os.environ["DEEPINFRA_API_KEY"],
    base_url="https://api.deepinfra.com/v1/openai"
)
response = client.chat.completions.create(
    model="deepseek-ai/DeepSeek-V3",
    messages=[{"role": "user", "content": "Hello"}]
)
print(response.choices[0].message.content)