Intelligence index
Outperforms 58% of compared models
DeepSeek V3.2
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
- Input / output price
- $0.28/$0.42per 1M tokens
- Context
- 164K
- Released
- 2025-12-01
Pricing
Artificial Analysis
Explore rankingsCoding index
Outperforms 45% of compared models
Design Arena
Elo scores and win rates across design and agent tasks.
Category performance
1,000-1,500 EloModel Arena
Asciiart
1080Elo
Win rate 40.5%
3D
1130Elo
Win rate 49.4%
Data Visualization
1158Elo
Win rate 48.2%
UI Component
1144Elo
Win rate 46.8%
Website
1173Elo
Win rate 50.2%
Code Categories
1162Elo
Win rate 49.3%
SVG
1029Elo
Win rate 40.8%
Game Development
1130Elo
Win rate 46.5%
Related Models
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- Max output
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- Max output
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- Max output
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