Comprehensive side-by-side LLM comparison
DeepSeek R1 Distill Llama 70B leads with 9.1% higher average benchmark score. DeepSeek R1 Distill Llama 70B offers 224.0K more tokens in context window than Phi 4. Both models have similar pricing. Overall, DeepSeek R1 Distill Llama 70B is the stronger choice for coding tasks.
DeepSeek
DeepSeek-R1-Distill-Llama-70B was created through knowledge distillation from DeepSeek-R1 into a Llama-based architecture, designed to transfer reasoning capabilities to a widely-used open-source foundation. Built to combine DeepSeek's reasoning innovations with Llama's ecosystem compatibility, it enables broader access to advanced reasoning techniques.
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 Distill Llama 70B
DeepSeek
2025-01-20
Cost per million tokens (USD)

DeepSeek R1 Distill Llama 70B

Phi 4
Context window and performance specifications
Average performance across 1 common benchmarks

DeepSeek R1 Distill Llama 70B

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

DeepSeek R1 Distill Llama 70B
DeepInfra

Phi 4

DeepSeek R1 Distill Llama 70B

Phi 4

DeepSeek R1 Distill Llama 70B

Phi 4
DeepInfra