DeepSeek: DeepSeek V3.2 Exp
Analysis Summary
DeepSeek: DeepSeek V3.2 Exp sits in the Specialist tier on our leaderboard, ranked #80 of 556 published models on overall intelligence. At $0.270 input and $0.410 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 Exp offers strong coding and a high livecodebench score at very low pricing, with tool use and function calling, though a regional accessibility penalty applies and agentic capability is limited.
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-Exp is an experimental large language model released by DeepSeek as an intermediate step between V3.1 and future architectures. It introduces DeepSeek Sparse Attention (DSA), a fine-grained sparse attention mechanism..
Capabilities
Architecture Detail
| Instruct Type | deepseek-v3.1 |
Performance Indices
Source: Artificial Analysis
Benchmark Scores
Intelligence
Technical
Content
Benchmark data from Artificial Analysis and Hugging Face
How does DeepSeek: DeepSeek V3.2 Exp stack up?
Compare side-by-side with other specialist models.
Model Information
Pricing
| Token Type | Cost per 1M tokens | Cost per 1K tokens |
|---|---|---|
| Input | $0.27 | $0.000270 |
| Output | $0.41 | $0.000410 |
Live Performance
Live endpoint metrics ā refreshed every 30 minutes.
