Model Cost Profile

DeepSeek: DeepSeek V3

Developer: deepseek

Pricing updated Mar 11, 2026

Input rank: #181Output rank: #166

Live Pricing

Input: $0.3200

Output: $0.8900

Pricing via OpenRouter API ยท Last synced Mar 11, 2026

DeepSeek V3, developed by deepseek, offers an extensive context window of 163840 tokens, making it suitable for applications requiring in-depth analysis and understanding of large datasets, such as legal document review and comprehensive research projects. With an input price of $0.32 per 1M tokens and an output price of $0.89 per 1M tokens, teams can effectively manage costs while leveraging the model for complex tasks that demand high token utilization. This pricing structure enables organizations to scale their usage according to project needs, ensuring efficient budget allocation for API-driven initiatives.

๐Ÿ”ง Tool Calling๐Ÿ“‹ Structured Output

Context Window

163,840

Tokens

Input Price / 1M

$0.3200

Prompt tokens

Output Price / 1M

$0.8900

Completion tokens

Intelligence (MMLU)

Benchmark Pending

Massive Multitask Language Understanding

Price History

DeepSeek: DeepSeek V3 Pricing Trend

Input / 1M tokens0.0%Output / 1M tokens0.0%
Mar 7 โ€” Mar 11
$0.3200$0.6050$0.8900Mar 7Mar 8Mar 9Mar 10Mar 11

Current Input / 1M

$0.3200

Current Output / 1M

$0.8900

Cheaper Alternatives to Compare

Quick links for cost-down decisions before production rollout.

FAQ

Common pricing and benchmark questions for DeepSeek: DeepSeek V3.

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

DeepSeek: DeepSeek V3 input pricing is $0.3200 per 1M tokens based on the latest synced provider data.

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

DeepSeek: DeepSeek V3 output pricing is $0.8900 per 1M tokens based on the latest synced provider data.

What context window does DeepSeek: DeepSeek V3 support?

DeepSeek: DeepSeek V3 supports a context window of 163,840 tokens.

How can I compare DeepSeek: DeepSeek V3 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.