# DeepSeek V3.2: AI model fact sheet

- **Provider:** deepseek
- **Released:** 2025-12-01
- **Context window:** 131,072 tokens
- **API pricing:** $0.28 / 1M input, $0.42 / 1M output
- **OpenRouter ID:** deepseek/deepseek-v3.2
- **Capabilities:** conversation, reasoning, code-generation, analysis, tool-use

DeepSeek-V3.2 is a large language model designed to harmonize high computational efficiency with strong reasoning and agentic tool-use performance. It introduces DeepSeek Sparse Attention (DSA), a fine-grained sparse attention mechanism that reduces training and inference cost while preserving quality in long-context scenarios. A scalable reinforcement learning post-training framework further improves reasoning, with reported performance in the GPT-5 class, and the model has demonstrated gold-medal results on the 2025 IMO and IOI. V3.2 also uses a large-scale agentic task synthesis pipeline to better integrate reasoning into tool-use settings, boosting compliance and generalization in interactive environments.

## Benchmarks

| Benchmark | Score |
| --- | --- |
| SWE-bench Verified | 73.1% |
| LiveCodeBench | 83.3% |

Source: real side-by-side outputs, pricing and specs at https://rival.tips/models/deepseek-v3.2