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DeepSeek R1 Distill Qwen 32B

deepseek-r1-distill-qwen-32b

Provider: Vultr, Context: 121808, Output Limit: 8192

Available at 10 Providers

Provider Source Input Price ($/1M) Output Price ($/1M) Description Free
vultr models-dev Input: $0.20 Output: $0.20 Provider: Vultr, Context: 121808, Output Limit: 8192
alibabacn models-dev Input: $0.29 Output: $0.86 Provider: Alibaba (China), Context: 32768, Output Limit: 16384
siliconflowcn models-dev Input: $0.18 Output: $0.18 Provider: SiliconFlow (China), Context: 131000, Output Limit: 131000
siliconflow models-dev Input: $0.18 Output: $0.18 Provider: SiliconFlow, Context: 131000, Output Limit: 131000
cloudflareworkersai models-dev Input: $0.50 Output: $4.88 Provider: Cloudflare Workers AI, Context: 80000, Output Limit: 80000
cloudflareaigateway models-dev Input: $0.50 Output: $4.88 Provider: Cloudflare AI Gateway, Context: 128000, Output Limit: 16384
deepinfra litellm Input: $0.27 Output: $0.27 Source: deepinfra, Context: 131072
nscale litellm Input: $0.15 Output: $0.15 Source: nscale, Context: N/A
fireworksai litellm Input: $0.90 Output: $0.90 Source: fireworks_ai, Context: 131072
openrouter openrouter Input: $0.27 Output: $0.27 DeepSeek R1 Distill Qwen 32B is a distilled large language model based on [Qwen 2.5 32B](https://huggingface.co/Qwen/Qwen2.5-32B), using outputs from [DeepSeek R1](/deepseek/deepseek-r1). It outperforms OpenAI's o1-mini across various benchmarks, achieving new state-of-the-art results for dense models.\n\nOther benchmark results include:\n\n- AIME 2024 pass@1: 72.6\n- MATH-500 pass@1: 94.3\n- CodeForces Rating: 1691\n\nThe model leverages fine-tuning from DeepSeek R1's outputs, enabling competitive performance comparable to larger frontier models. Context: 131072