Comprehensive side-by-side LLM comparison
DeepSeek-R1 offers 230.1K more tokens in context window than Phi 4. Phi 4 is $2.53 cheaper per million tokens. 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.
Microsoft
Phi-4 was introduced as the fourth generation of Microsoft's small language model series, designed to push the boundaries of what compact models can achieve. Built with advanced training techniques and architectural improvements, it demonstrates continued progress in efficient, high-quality language models.
1 month newer

Phi 4
Microsoft
2024-12-12

DeepSeek-R1
DeepSeek
2025-01-20
Cost per million tokens (USD)

DeepSeek-R1

Phi 4
Context window and performance specifications
Phi 4
2024-06-01
Available providers and their performance metrics

DeepSeek-R1
DeepInfra
DeepSeek
Fireworks
Together
ZeroEval

DeepSeek-R1

Phi 4

DeepSeek-R1

Phi 4

Phi 4
DeepInfra