DeepSeek: DeepSeek V3.2
Analysis Summary
DeepSeek V3.2 is DeepSeek's broad text model, pairing a 163,840-token context window with tool use and function calling. The measured profile is strongest in coding and mathematics, with good software-generation results and a strong tool-interaction result. Its general intelligence is useful but below the leading flagship tier, while the agentic result is comparatively weak.
For businesses, it suits coding assistance, technical SEO, structured analysis, and document-heavy workflows where cost and context capacity matter. Function calling supports API-connected automation, but autonomous multi-step agents should include validation, retries, and human review. The pricing is moderate rather than ultra-low, yet the capability mix supports meaningful production use. Adopt it as a cost-conscious technical model and a secondary choice for general content.
Assessed August 9, 2026
Editorial notes
DeepSeek V3.2 combines strong coding results, high mathematics performance, reliable tool-use results, and a 164K context window at moderate pricing. Its weaker agentic index and instruction-following result make supervision important for complex autonomous workflows.
Rankings consider pricing, capabilities, benchmarks, and real-world applicability and are refreshed as new models launch. Feedback?
DFO Verdict
DeepSeek V3.2 combines strong coding results, high mathematics performance, reliable tool-use results, and a 164K context window at moderate pricing. Its weaker agentic index and instruction-following result make supervision important for complex autonomous workflows.
Benchmark scores
Magenta = intelligence · Ink = technical/agentic · Cyan = content & long-context · Grey = community benchmarks. Data: Artificial Analysis, Hugging Face.
32.8 Intelligence Index·44.2 Coding Index·18.3 Agentic Index·92 Math Index
How DeepSeek: DeepSeek V3.2 compares
DeepSeek: DeepSeek V3.2 ranks #110 of 430 AI models we track for overall intelligence, #82 of 203 for coding, #101 of 185 for agentic tasks. Its 164K-token context window is larger than 51% of the models we list. At $0.27 per million input tokens it is cheaper than 49% 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 | $0.27 | $0.000269 |
| Output | $0.40 | $0.000400 |
What would DeepSeek: DeepSeek V3.2 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 738 models → Price Calculator
These numbers get smaller with the right architecture.
We route routine calls to cheap models and save DeepSeek: DeepSeek V3.2 for the hard ones. Most clients cut their estimate by 60-80%.
Talk to our teamAbout DeepSeek: DeepSeek V3.2
DeepSeek-V3.2 is a large language model designed to harmonize high computational efficiency with strong reasoning and agentic tool-use performance. It introduces DeepSeek Sparse Attention (DSA), a fine-grained sparse attention mechanism..
Frequently asked questions about DeepSeek: DeepSeek V3.2
How much does DeepSeek: DeepSeek V3.2 cost?
DeepSeek: DeepSeek V3.2 costs $0.27 per million input tokens and $0.40 per million output tokens.
What is the context window of DeepSeek: DeepSeek V3.2?
DeepSeek: DeepSeek V3.2 has a context window of 163,840 tokens (164K).
Is DeepSeek: DeepSeek V3.2 good for coding?
On our coding benchmark index, DeepSeek: DeepSeek V3.2 ranks #82 of 203 models, placing it in the broader range of the field for code generation and debugging.
What can DeepSeek: DeepSeek V3.2 do?
DeepSeek: DeepSeek V3.2 supports tool use and function calling.
Who created DeepSeek: DeepSeek V3.2?
DeepSeek: DeepSeek V3.2 is developed by DeepSeek and was released on December 1, 2025.