Comprehensive side-by-side LLM comparison
DeepSeek R1 Distill Llama 70B leads with 36.1% higher average benchmark score. GPT-4.1 nano offers 824.3K more tokens in context window than DeepSeek R1 Distill Llama 70B. Both models have similar pricing. GPT-4.1 nano supports multimodal inputs. 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.
OpenAI
GPT-4.1 Nano was developed as the smallest and most efficient variant in the GPT-4.1 family, designed for applications requiring minimal latency and resource usage. Built to enable AI capabilities on edge devices and resource-constrained environments, it distills GPT-4.1 capabilities into an ultra-compact form factor.
2 months newer

DeepSeek R1 Distill Llama 70B
DeepSeek
2025-01-20

GPT-4.1 nano
OpenAI
2025-04-14
Cost per million tokens (USD)

DeepSeek R1 Distill Llama 70B

GPT-4.1 nano
Context window and performance specifications
Average performance across 2 common benchmarks

DeepSeek R1 Distill Llama 70B

GPT-4.1 nano
GPT-4.1 nano
2024-05-31
Available providers and their performance metrics

DeepSeek R1 Distill Llama 70B
DeepInfra

GPT-4.1 nano

DeepSeek R1 Distill Llama 70B

GPT-4.1 nano

DeepSeek R1 Distill Llama 70B

GPT-4.1 nano
OpenAI