Distilled reasoning model based on Llama 3.3 70B using DeepSeek R1 outputs.
Open-source reasoning model matching OpenAI o1 performance.
No shared demos for these models yet.
No captured outputs for these models yet.
Based on the Capability Index, DeepSeek R1 scores higher (72.4 vs 70.2). However, "better" depends on your use case — pricing, speed, context window, and specific capability needs all matter.
DeepSeek R1 Distill Llama 70B has a lower blended cost. DeepSeek R1 Distill Llama 70B: $0.80 input / $0.80 output. DeepSeek R1: $0.70 input / $2.50 output.
DeepSeek R1 has a larger context window: DeepSeek R1 Distill Llama 70B supports 8K tokens vs DeepSeek R1 at 64K tokens.
DeepSeek R1 Distill Llama 70B and DeepSeek R1 have similar overall capabilities. The main differences lie in pricing, context window size, and provider-specific strengths. Use this comparison page to review all metrics side by side.
If cost is your priority, choose the cheaper option. If you need the highest intelligence for complex tasks, pick the higher-scoring model. For long documents or codebases, choose the larger context window. You can try both DeepSeek R1 Distill Llama 70B and DeepSeek R1 for free on idapt.app to see which performs better for your specific needs.