DeepSeek-R1
Open-source reasoning model with performance on par with OpenAI-o1.
DeepSeek-R1 is DeepSeek's first-generation open-source reasoning large language model release. It was introduced with large-scale reinforcement-learning post-training and cold-start data, achieves strong math, code, and reasoning performance, and is available via DeepSeek's chat/API and open weights.
Pricing
First-party DeepSeek-R1 API pricing page maps DeepSeek-R1 to model=deepseek-reasoner; input price recorded is cache-miss price, with cache-hit price recorded separately.
DeepSeek's official DeepSeek-R1 release/API page explicitly says to use DeepSeek-R1 by setting model=deepseek-reasoner and lists token API pricing: $0.14 per 1M input tokens for cache hits, $0.55 per 1M input tokens for cache misses, and $2.19 per 1M output tokens. Confidence is medium because the current general DeepSeek pricing page no longer lists DeepSeek-R1, but this first-party DeepSeek-R1 page remains public and explicit.