DeepSeek: DeepSeek V3.2 Speciale
Analysis Summary
DeepSeek V3.2 Speciale is a text model with a 163,840-token context window and pricing below premium flagship levels. Its supplied intelligence result is limited, and the variant has no reported coding, agentic, instruction-following, or long-context benchmark results in this dataset.
The context capacity can support document summarisation, classification, and routine content transformation, especially where input volume matters. However, the lack of broader evidence makes it difficult to recommend for autonomous agents, complex software work, or sensitive client-facing generation without additional testing. Its pricing is workable for moderate-volume workloads, but the standard V3.2 has materially broader measured evidence. Use Speciale for contained text operations after task-specific validation.
Assessed August 9, 2026
Editorial notes
DeepSeek V3.2 Speciale provides a 164K context window at moderate pricing, but its measured intelligence index is limited and no coding or agentic results are supplied. It fits routine text workflows better than high-stakes reasoning.
Rankings consider pricing, capabilities, benchmarks, and real-world applicability and are refreshed as new models launch. Feedback?
DFO Verdict
DeepSeek V3.2 Speciale provides a 164K context window at moderate pricing, but its measured intelligence index is limited and no coding or agentic results are supplied. It fits routine text workflows better than high-stakes reasoning.
How DeepSeek: DeepSeek V3.2 Speciale compares
DeepSeek: DeepSeek V3.2 Speciale ranks #160 of 425 AI models we track for overall intelligence. Its 164K-token context window is larger than 52% of the models we list. At $0.29 per million input tokens it is cheaper than 48% of comparable models.
Dark bar = input · light bar = output, scaled to the priciest peer.
1M tokens ≈ 8 full-length novels or ~2,500 pages of business documents in a single request.
Strongest on value. The pulled-in technical corner is the trade-off, and if the shape matters more than the price, this is your model.
Compare shapes side-by-side →Pricing
| Token Type | Cost per 1M tokens | Cost per 1K tokens |
|---|---|---|
| Input | $0.29 | $0.000287 |
| Output | $0.43 | $0.000431 |
What would DeepSeek: DeepSeek V3.2 Speciale cost your business?
Pick the job that looks most like yours, then fine-tune with the sliders. Estimates update live.
A website chatbot handling around 100 customer conversations a day, a few short messages each.
Full calculator with 704 models → Price Calculator
These numbers get smaller with the right architecture.
We route routine calls to cheap models and save DeepSeek: DeepSeek V3.2 Speciale for the hard ones. Most clients cut their estimate by 60-80%.
Talk to our teamAbout 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..
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.