DeepSeek: DeepSeek V3.2 Speciale
Analysis Summary
DeepSeek V3.2 Speciale is a specialist variant of the V3.2 family, tuned for coding and mathematical reasoning. Its livecodebench score is among the highest in the database, and its math index is near-perfect. Instruction following is strong, and the 163K context window supports longer document and codebase tasks. Pricing is reasonable at $0.287 input and $0.431 output per million tokens.
For businesses, this model is best suited to coding-heavy workflows, mathematical analysis, and structured content generation. Its agentic score is moderate and it lacks vision or tool use, which limits its utility for multi-modal or autonomous agent pipelines. The intelligence index is lower than its coding scores suggest, indicating the model is more narrowly optimised than a general-purpose flagship.
Teams with high coding or math workloads will find strong value here. For broader business use requiring agentic reliability, vision, or general reasoning breadth, a more balanced model would be preferable. Note that DeepSeek models may have limited enterprise support in some markets.
Assessed June 6, 2026
Editorial notes
DeepSeek V3.2 Speciale delivers exceptional coding and math performance with strong instruction following, at a competitive price point, though its intelligence index and agentic scores are more modest.
Rankings consider pricing, capabilities, benchmarks, and real-world applicability and are refreshed as new models launch. Feedback?
Performance Profile
How DeepSeek: DeepSeek V3.2 Speciale compares
DeepSeek: DeepSeek V3.2 Speciale ranks #112 of 378 AI models we track for overall intelligence, #45 of 315 for coding, #125 of 289 for agentic tasks. Its 164K-token context window is larger than 62% of the models we list. At $0.29 per million input tokens it is cheaper than 44% of comparable models.
About DeepSeek: DeepSeek V3.2 Speciale
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 professional 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
Frequently asked questions about DeepSeek: DeepSeek V3.2 Speciale
How much does DeepSeek: DeepSeek V3.2 Speciale cost?
DeepSeek: DeepSeek V3.2 Speciale costs $0.29 per million input tokens and $0.43 per million output tokens.
What is the context window of DeepSeek: DeepSeek V3.2 Speciale?
DeepSeek: DeepSeek V3.2 Speciale has a context window of 163,840 tokens (164K).
Is DeepSeek: DeepSeek V3.2 Speciale good for coding?
On our coding benchmark index, DeepSeek: DeepSeek V3.2 Speciale ranks #45 of 315 models, placing it in the top quartile of the field for code generation and debugging.
Who created DeepSeek: DeepSeek V3.2 Speciale?
DeepSeek: DeepSeek V3.2 Speciale is developed by DeepSeek and was released on December 1, 2025.
