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 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.
Alibaba Cloud / Qwen Team
Qwen 2.5 14B was developed as a mid-sized instruction-tuned model, designed to balance capability and efficiency for diverse language tasks. Built with 14 billion parameters, it provides strong performance for applications requiring reliable instruction-following without the resource demands of larger models.
4 months newer

Qwen2.5 14B Instruct
Alibaba Cloud / Qwen Team
2024-09-19

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

DeepSeek-R1
DeepInfra
DeepSeek
Fireworks
Together
ZeroEval

DeepSeek-R1

Qwen2.5 14B Instruct

DeepSeek-R1

Qwen2.5 14B Instruct

Qwen2.5 14B Instruct