DeepSeek: DeepSeek V3.2 Exp
Analysis Summary
DeepSeek: DeepSeek V3.2 Exp sits in the Specialist tier on our leaderboard, ranked #71 of 523 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 exceptional value at very low pricing, with notably strong maths and coding benchmark scores and solid instruction-following capability. However, limited Western business adoption and support, combined with a text-only modality and no vision, temper its overall business utility despite the impressive price-performance ratio.
Assessed April 23, 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.
