Capabilities
7-day heat trend
−4.8%Pricing breakdown
Typical 3:1 output-to-input mix, per 1M tokens
Estimated monthly cost by workload
Market position
- Cheaper than 47% of tracked models
- Faster than 13% of tracked models
- Efficiency rank: #83 of 120
Best suited for
Complex reasoning, analysis, planning and multi-step problem solving where answer quality matters more than raw cost.
About R1 Distill Qwen 32B
R1 Distill Qwen 32B is a Reasoning model from DeepSeek (CN). HotON.ai tracks it at $0.29 per 1M input tokens and $0.29 per 1M output tokens, with a 128K-token context window, ~126 tokens/sec throughput and 100.0% availability. Its composite efficiency score is 89/100 at an estimated $0.001 per successful task.
Compare R1 Distill Qwen 32B
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Frequently asked questions
How much does R1 Distill Qwen 32B cost per 1M tokens?+
R1 Distill Qwen 32B is tracked at $0.29 per 1M input tokens and $0.29 per 1M output tokens. A typical 3:1 output-to-input workload blends to roughly $0.29 per 1M tokens. Figures are illustrative demo data.
What is R1 Distill Qwen 32B best for?+
Complex reasoning, analysis, planning and multi-step problem solving where answer quality matters more than raw cost.
How fast is R1 Distill Qwen 32B?+
R1 Distill Qwen 32B delivers about 126 tokens/sec with 100.0% tracked availability, suitable for latency-sensitive, real-time applications.
Is R1 Distill Qwen 32B cheaper than other AI models?+
Within the HotON.ai tracked set, R1 Distill Qwen 32B is cheaper than 47% of models on input price and ranks #83 of 120 by overall efficiency.
Related models
Pricing and availability are real (via OpenRouter, updated daily — availability is the best-serving provider's 24h uptime). Efficiency is a HotON composite of real price and context. Speed is a modeled estimate.