DeepSeek R1 70B

DeepSeek R1 70B is trained with a reinforcement learning process specifically designed to improve multi-step reasoning. Unlike models trained purely on next-token prediction, R1 learns to reason through problems step by step — showing its work like a chain-of-thought reasoner.

On math benchmarks (MATH-500, AIME), logic puzzles, and structured analysis tasks, R1 70B outperforms same-size models by a significant margin. It's the model to reach for when accuracy on complex problems matters more than conversational fluency.

One trade-off: R1's deliberate reasoning process can produce verbose outputs as it works through a problem. This is a feature, not a bug — it's the reasoning chain showing. For casual chat, you'd prefer Qwen or Llama. For problems where you need the right answer, R1 earns its keep.