Comprehensive side-by-side LLM comparison
DeepSeek-R1 is available on 5 providers. Both models have their strengths depending on your specific coding needs.
DeepSeek
DeepSeek-R1-Distill-Qwen-14B was developed as a mid-sized distilled variant based on Qwen, designed to balance reasoning capability with practical deployment considerations. Built to provide strong analytical performance while remaining accessible, it serves applications requiring reliable reasoning without flagship-scale resources.
DeepSeek
DeepSeek-R1 was developed as a reasoning-focused language model, designed to combine chain-of-thought reasoning with reinforcement learning techniques. Built to excel at complex problem-solving through trial-and-error learning and deliberate analytical processes, it demonstrates the power of efficient training methods in open-source model development.
Launched on the same date

DeepSeek R1 Distill Qwen 14B
DeepSeek
2025-01-20

DeepSeek-R1
DeepSeek
2025-01-20
Context window and performance specifications
Available providers and their performance metrics

DeepSeek R1 Distill Qwen 14B

DeepSeek-R1
DeepInfra

DeepSeek R1 Distill Qwen 14B

DeepSeek-R1

DeepSeek R1 Distill Qwen 14B

DeepSeek-R1
DeepSeek
Fireworks
Together
ZeroEval