Model Cost Profile

DeepSeek: R1

Developer: deepseek

Pricing updated Mar 11, 2026

Input rank: #221Output rank: #236

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.

๐Ÿ”ง Tool Calling๐Ÿง  Reasoning

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

Benchmark Scores

Standardized evaluation scores for DeepSeek: R1.

BenchmarkScoreRankSource
GPQA81.3#16 of 118artificial_analysis
MMLU84.9#12 of 121artificial_analysis

Price History

DeepSeek: R1 Pricing Trend

Input / 1M tokens0.0%Output / 1M tokens0.0%
Mar 7 โ€” Mar 11
$0.7000$1.60$2.50Mar 7Mar 8Mar 9Mar 10Mar 11

Current Input / 1M

$0.7000

Current Output / 1M

$2.50

Cheaper Alternatives to Compare

Quick links for cost-down decisions before production rollout.

FAQ

Common pricing and benchmark questions for DeepSeek: R1.

How much does DeepSeek: R1 cost per 1M input tokens?

DeepSeek: R1 input pricing is $0.7000 per 1M tokens based on the latest synced provider data.

How much does DeepSeek: R1 cost per 1M output tokens?

DeepSeek: R1 output pricing is $2.50 per 1M tokens based on the latest synced provider data.

What context window does DeepSeek: R1 support?

DeepSeek: R1 supports a context window of 64,000 tokens.

How can I compare DeepSeek: R1 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.