DeepSeek: DeepSeek V3.2 Speciale
Analysis Summary
DeepSeek: DeepSeek V3.2 Speciale sits in the Specialist tier on our leaderboard, ranked #78 of 525 published models on overall intelligence. At $0.400 input and $1.20 output per 1M tokens, it is among the most expensive on the market. It offers a standard large context window.
Editorial notes
DeepSeek's V3.2 Speciale shows strong coding performance and impressive math scores at a moderate price, though its intelligence index is limited and it lacks tool use support — a reasonable option for cost-focused coding tasks with the caveat of limited Western business support.
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-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 | $0.40 | $0.000400 |
| Output | $1.20 | $0.001200 |
Live Performance
Live endpoint metrics — refreshed every 30 minutes.
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: April 25, 2026 8:38 pm