Model Cost Profile

DeepSeek: DeepSeek V3.1

Developer: deepseek

Pricing updated Mar 11, 2026

Input rank: #114Output rank: #146

Live Pricing

Input: $0.1500

Output: $0.7500

Pricing via OpenRouter API ยท Last synced Mar 11, 2026

DeepSeek V3.1, developed by deepseek, offers a substantial context window of 32,768 tokens, making it ideal for applications requiring extensive data analysis and natural language understanding, such as document summarization and conversational AI. With an input price of $0.15 per million tokens and an output price of $0.75 per million tokens, teams can effectively manage their budgets while leveraging the model's capabilities for complex tasks. This pricing structure allows organizations to scale their usage based on project needs, ensuring cost-efficiency for both small teams and larger enterprises.

๐Ÿ”ง Tool Calling๐Ÿ“‹ Structured Output๐Ÿง  Reasoning

Context Window

32,768

Tokens

Input Price / 1M

$0.1500

Prompt tokens

Output Price / 1M

$0.7500

Completion tokens

Intelligence (MMLU)

Benchmark Pending

Massive Multitask Language Understanding

Price History

DeepSeek: DeepSeek V3.1 Pricing Trend

Input / 1M tokens0.0%Output / 1M tokens0.0%
Mar 7 โ€” Mar 11
$0.1500$0.4500$0.7500Mar 7Mar 8Mar 9Mar 10Mar 11

Current Input / 1M

$0.1500

Current Output / 1M

$0.7500

Cheaper Alternatives to Compare

Quick links for cost-down decisions before production rollout.

FAQ

Common pricing and benchmark questions for DeepSeek: DeepSeek V3.1.

How much does DeepSeek: DeepSeek V3.1 cost per 1M input tokens?

DeepSeek: DeepSeek V3.1 input pricing is $0.1500 per 1M tokens based on the latest synced provider data.

How much does DeepSeek: DeepSeek V3.1 cost per 1M output tokens?

DeepSeek: DeepSeek V3.1 output pricing is $0.7500 per 1M tokens based on the latest synced provider data.

What context window does DeepSeek: DeepSeek V3.1 support?

DeepSeek: DeepSeek V3.1 supports a context window of 32,768 tokens.

How can I compare DeepSeek: DeepSeek V3.1 with cheaper alternatives?

Use the comparison links on this page to open direct model-vs-model pricing and benchmark pages, then evaluate monthly spend projections for your workload.