Context Window
64,000
Tokens
Model Cost Profile
Developer: deepseek
Pricing updated Mar 11, 2026
Live Pricing
Input: $0.7000
Output: $2.50
Pricing via OpenRouter API ยท Last synced Mar 11, 2026 ยท MMLU score via public benchmark data
DeepSeek: R1, developed by deepseek, offers a substantial context window of 64,000 tokens, making it ideal for applications requiring extensive text analysis, such as legal document review and long-form content generation. The pricing structure includes an input cost of $0.70 per million tokens and an output cost of $2.50 per million tokens, which teams should consider when budgeting for high-volume processing tasks. This model's capabilities enable businesses to efficiently handle complex queries and large datasets, optimizing workflows in data-intensive environments.
Context Window
64,000
Tokens
Input Price / 1M
$0.7000
Prompt tokens
Output Price / 1M
$2.50
Completion tokens
Intelligence (MMLU)
84.9
Massive Multitask Language Understanding
Standardized evaluation scores for DeepSeek: R1.
| Usage Type | Price / 1M Tokens |
|---|---|
| Input (Prompt) | $0.7000 |
| Output (Completion) | $2.50 |
Price History
Current Input / 1M
$0.7000
Current Output / 1M
$2.50
Estimate monthly spend for DeepSeek: R1 based on your workload.
Estimated Monthly Cost
$48
25M input + 12M output tokens
Quick links for cost-down decisions before production rollout.
Common pricing and benchmark questions for DeepSeek: R1.
DeepSeek: R1 input pricing is $0.7000 per 1M tokens based on the latest synced provider data.
DeepSeek: R1 output pricing is $2.50 per 1M tokens based on the latest synced provider data.
DeepSeek: R1 supports a context window of 64,000 tokens.
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.