DeepSeek: DeepSeek V3.2 Speciale
Analysis Summary
DeepSeek: DeepSeek V3.2 Speciale sits in the Specialist tier on our leaderboard, ranked #72 of 557 published models on overall intelligence. At $0.287 input and $0.431 output per 1M tokens, it is among the most expensive on the market. It offers a standard large context window.
Editorial notes
DeepSeek V3.2 Speciale posts excellent coding and math scores at very low cost, but its intelligence index is modest and it lacks tool use, vision, and function calling support.
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-Speciale is a high-compute variant of DeepSeek-V3.2 optimized for maximum reasoning and agentic performance. It builds on DeepSeek Sparse Attention (DSA) for efficient long-context processing, then scales post-training reinforcement learning..
Performance Indices
Source: Artificial Analysis
Benchmark Scores
Intelligence
Technical
Content
Benchmark data from Artificial Analysis and Hugging Face
How does DeepSeek: DeepSeek V3.2 Speciale stack up?
Compare side-by-side with other specialist models.
Model Information
Pricing
| Token Type | Cost per 1M tokens | Cost per 1K tokens |
|---|---|---|
| Input | $0.29 | $0.000287 |
| Output | $0.43 | $0.000431 |
Leaderboard Categories
External Resources
Explore Related Models
Data sourced from OpenRouter API, Artificial Analysis and Hugging Face Open LLM Leaderboard. Scores are editorially curated by our team.
Last updated: May 20, 2026 8:38 pm