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 bench…
Model details →DeepSeek: R1 Distill Qwen 32B vs meta-llama/Llama-3.2-1B-Instruct
meta-llama/Llama-3.2-1B-Instruct wins on 3 of 6 axes — pricing and capability skew in its favour for most workloads.
Llama 3.2 1B is a 1-billion-parameter language model focused on efficiently performing natural language tasks, such as summarization, dialogue, and multilingual text analysis. Its smaller size allows it to operate efficiently in low-resourc…
Model details →Side-by-side comparison
| Capability | DeepSeek: R1 Distill Qwen 32B | meta-llama/Llama-3.2-1B-Instruct | Winner |
|---|---|---|---|
| Context window Maximum number of input tokens the model can attend to in a single request. | 33K | 60K | 🏆 meta-llama/Llama-3.2-1B-Instruct |
| Input price (per 1M) Cost per million input tokens billed by the provider. | $0.29 | $0.03 | 🏆 meta-llama/Llama-3.2-1B-Instruct |
| Output price (per 1M) Cost per million output tokens billed by the provider. | $0.29 | $0.20 | 🏆 meta-llama/Llama-3.2-1B-Instruct |
| Tool / function calling First-class support for emitting structured tool calls. | — | — | Tie |
| Vision input Accepts image inputs alongside text. | — | — | Tie |
| Reasoning mode Internal chain-of-thought / extended-thinking support. | Yes | — | 🏆 DeepSeek: R1 Distill Qwen 32B |
Frequently asked questions
Is DeepSeek: R1 Distill Qwen 32B better than meta-llama/Llama-3.2-1B-Instruct?
meta-llama/Llama-3.2-1B-Instruct wins on 3 of 6 axes — pricing and capability skew in its favour for most workloads.
What's the price difference between DeepSeek: R1 Distill Qwen 32B and meta-llama/Llama-3.2-1B-Instruct?
Input: $0.29 vs $0.03 per 1M tokens. Output: $0.29 vs $0.20 per 1M tokens.
What context windows do DeepSeek: R1 Distill Qwen 32B and meta-llama/Llama-3.2-1B-Instruct support?
DeepSeek: R1 Distill Qwen 32B supports up to 33K tokens. meta-llama/Llama-3.2-1B-Instruct supports up to 60K tokens.
Do both DeepSeek: R1 Distill Qwen 32B and meta-llama/Llama-3.2-1B-Instruct support tool calling?
DeepSeek: R1 Distill Qwen 32B: not advertised. meta-llama/Llama-3.2-1B-Instruct: not advertised.