LangMart: DeepSeek: R1 Distill Qwen 32B
Model Overview
| Property | Value |
|---|---|
| Model ID | openrouter/deepseek/deepseek-r1-distill-qwen-32b |
| Name | DeepSeek: R1 Distill Qwen 32B |
| Provider | deepseek |
| Released | 2025-01-29 |
Description
DeepSeek R1 Distill Qwen 32B is a distilled large language model based on Qwen 2.5 32B, using outputs from 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.
Description
LangMart: DeepSeek: R1 Distill Qwen 32B is a language model provided by deepseek. This model offers advanced capabilities for natural language processing tasks.
Provider
deepseek
Specifications
| Spec | Value |
|---|---|
| Context Window | 64,000 tokens |
| Modalities | text->text |
| Input Modalities | text |
| Output Modalities | text |
Pricing
| Type | Price |
|---|---|
| Input | $0.24 per 1M tokens |
| Output | $0.24 per 1M tokens |
Capabilities
- Frequency penalty
- Include reasoning
- Max tokens
- Min p
- Presence penalty
- Reasoning
- Repetition penalty
- Response format
- Seed
- Stop
- Structured outputs
- Temperature
- Top k
- Top p