Comprehensive side-by-side LLM comparison
DeepSeek R1 Distill Llama 70B leads with 34.4% higher average benchmark score. DeepSeek R1 Distill Llama 70B offers 235.5K more tokens in context window than GPT-3.5 Turbo. DeepSeek R1 Distill Llama 70B is $1.50 cheaper per million tokens. 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-3.5 Turbo was developed as an optimized version of GPT-3.5, designed to provide a balance of capability and efficiency for conversational and completion tasks. Built to serve as a cost-effective option for applications requiring reliable language understanding and generation, it became widely adopted for chatbots, content generation, and general-purpose AI assistance.
1 year newer

GPT-3.5 Turbo
OpenAI
2023-03-21

DeepSeek R1 Distill Llama 70B
DeepSeek
2025-01-20
Cost per million tokens (USD)

DeepSeek R1 Distill Llama 70B

GPT-3.5 Turbo
Context window and performance specifications
Average performance across 1 common benchmarks

DeepSeek R1 Distill Llama 70B

GPT-3.5 Turbo
GPT-3.5 Turbo
2021-09-30
Available providers and their performance metrics

DeepSeek R1 Distill Llama 70B
DeepInfra

GPT-3.5 Turbo

DeepSeek R1 Distill Llama 70B

GPT-3.5 Turbo

DeepSeek R1 Distill Llama 70B

GPT-3.5 Turbo
Azure
OpenAI