by DeepSeek
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. Users can control the reasoning behaviour with the `reasoning` `enabled` boolean. [Learn more in our docs](https://openrouter.ai/docs/use-cases/reasoning-tokens#enable-reasoning-with-default-config)
| Signal | Strength | Weight | Impact |
|---|---|---|---|
| Recency2026-03-03T20:24:31.754Z | 100 | 15% | +15.0 |
| Capabilities2026-03-03T20:24:31.754Z | 57 | 25% | +14.3 |
| Context Window2026-03-03T20:24:31.754Z | 83 | 15% | +12.4 |
| Output Capacity2026-03-03T20:24:31.754Z | 80 | 10% | +8.0 |
| Versatility2026-03-03T20:24:31.754Z | 33 | 10% | +3.3 |
| Pricing Tier2026-03-03T20:24:31.754Z | 0 | 25% | +0.1 |
Cost Estimator
You save $37.84/month vs category average