DeepSeek: DeepSeek V3.2 Speciale
Analysis Summary
DeepSeek V3.2 Speciale is a specialist variant from DeepSeek with outstanding math and coding benchmark scores. Its livecodebench score of 0.896 and AIME score of 0.967 are near-frontier, and the instruction-following score is strong. The intelligence index is moderate, but the raw task performance on structured technical problems is well above its tier.
For businesses, this model is a strong fit for mathematical reasoning, code generation, and structured content tasks where precision matters. The instruction-following score makes it more reliable for templated or constrained outputs than many peers. However, there is no tool use, function calling, or vision support, and the agentic index is limited.
At $0.29 input and $0.43 output, pricing is very competitive for the coding and math capability on offer. A regional accessibility adjustment applies. Teams focused on technical content generation or code review pipelines will find strong value, but those needing agentic or multimodal capability should look elsewhere.
Assessed June 30, 2026
Editorial notes
DeepSeek V3.2 Speciale delivers exceptional math and coding benchmarks with strong instruction-following, though it lacks tool use and vision and carries a regional accessibility adjustment.
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 #126 of 385 AI models we track for overall intelligence, #131 of 293 for agentic tasks. Its 164K-token context window is larger than 61% 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).
Who created DeepSeek: DeepSeek V3.2 Speciale?
DeepSeek: DeepSeek V3.2 Speciale is developed by DeepSeek and was released on December 1, 2025.
