Context Window
163,840
Tokens
Model Cost Profile
DeepSeek: R1 0528
Developer: deepseek
Pricing updated Mar 11, 2026
Input rank: #198Output rank: #227
DeepSeek: R1 0528 offers a substantial context window of 163840 tokens, making it ideal for applications requiring extensive document analysis, such as legal research and academic writing. The input pricing of $0.40 per million tokens and output pricing of $1.75 per million tokens allows teams to budget effectively for large-scale projects while managing costs associated with high-volume data processing. This model is particularly beneficial for organizations that need to generate detailed reports or insights from vast datasets without sacrificing performance or accuracy.
🔧 Tool Calling📋 Structured Output🧠 Reasoning
Input Price / 1M
$0.4500
Prompt tokens
Output Price / 1M
$2.15
Completion tokens
Intelligence (MMLU)
Benchmark Pending
Massive Multitask Language Understanding
Side-by-Side Pricing Table
| Usage Type | Price / 1M Tokens |
|---|---|
| Input (Prompt) | $0.4500 |
| Output (Completion) | $2.15 |
Price History
DeepSeek: R1 0528 Pricing Trend
Input / 1M tokens0.0%Output / 1M tokens0.0%
Mar 7 — Mar 11
Current Input / 1M
$0.4500
Current Output / 1M
$2.15
Cost Calculator
Estimate monthly spend for DeepSeek: R1 0528 based on your workload.
01.0B
0500M
Estimated Monthly Cost
$37
25M input + 12M output tokens
Cheaper Alternatives to Compare
Quick links for cost-down decisions before production rollout.
FAQ
Common pricing and benchmark questions for DeepSeek: R1 0528.
How much does DeepSeek: R1 0528 cost per 1M input tokens?
DeepSeek: R1 0528 input pricing is $0.4500 per 1M tokens based on the latest synced provider data.
How much does DeepSeek: R1 0528 cost per 1M output tokens?
DeepSeek: R1 0528 output pricing is $2.15 per 1M tokens based on the latest synced provider data.
What context window does DeepSeek: R1 0528 support?
DeepSeek: R1 0528 supports a context window of 163,840 tokens.
How can I compare DeepSeek: R1 0528 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.