DeepSeek
DeepSeek
Reasoning

DeepSeek-R1-Distill-14B

Distilled

R1 distilled into a 14B Qwen base. Cheap reasoning that fits on consumer GPUs.

DeepSeek-R1-Distill-14B is a reasoning AI model from DeepSeek. It costs $0.100 per million input tokens and $0.350 per million output tokens (blended $0.175/M), with a 128,000-token context window.

INPUT
$0.100/M
per million input tokens
OUTPUT
$0.350/M
per million output tokens
BLENDED 70/30
$0.175/M
unchanged since 3 May
CONTEXT
128,000
tokens
What it is good at
  • Consumer-GPU reasoning
  • Open weights
Typical use cases
  • On-device reasoning research
  • Cheap STEM tutoring

Benchmarks

vs. best public score
MMLU73%
Multitask academic knowledge across 57 subjects.
Graduate-level science questions, "Google-proof".
MATH84%
High-school competition math problems.
Python function synthesis from docstrings.
Hand-curated from each provider's published reports and public leaderboards. Methodology varies across sources, treat as directional rather than authoritative.

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Frequently asked questions

How much does DeepSeek-R1-Distill-14B cost?

DeepSeek-R1-Distill-14B costs $0.100 per million input tokens and $0.350 per million output tokens, for a blended reference rate of $0.175 per million tokens.

What is DeepSeek-R1-Distill-14B's context window?

DeepSeek-R1-Distill-14B supports up to 128,000 tokens of context in a single request.

What is DeepSeek-R1-Distill-14B best for?

DeepSeek-R1-Distill-14B is well suited to Consumer-GPU reasoning, Open weights and On-device reasoning research.

Who makes DeepSeek-R1-Distill-14B?

DeepSeek-R1-Distill-14B is developed and served by DeepSeek. It was released in Jan 2025.

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