DeepSeek: DeepSeek V3.2
Analysis Summary
DeepSeek: DeepSeek V3.2 sits in the Professional tier on our leaderboard, ranked #44 of 556 published models on overall intelligence. At $0.252 input and $0.378 output per 1M tokens, it is among the most expensive on the market. It offers a standard large context window and supports tool use and function calling.
Editorial notes
DeepSeek V3.2 combines strong reasoning, coding, and agentic scores with tool use and very competitive pricing, though no vision support and limited enterprise adoption are practical considerations.
Assessed May 14, 2026
Rankings consider pricing, capabilities, benchmarks, and real-world applicability and are refreshed as new models launch. Feedback?
Performance Profile
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..
Capabilities
Performance Indices
Source: Artificial Analysis
Benchmark Scores
Intelligence
Technical
Content
Benchmark data from Artificial Analysis and Hugging Face
How does DeepSeek: DeepSeek V3.2 stack up?
Compare side-by-side with other professional models.
Model Information
Pricing
| Token Type | Cost per 1M tokens | Cost per 1K tokens |
|---|---|---|
| Input | $0.25 | $0.000252 |
| Output | $0.38 | $0.000378 |
Live Performance
Live endpoint metrics ā refreshed every 30 minutes.
