DeepSeek: DeepSeek V3.2
Analysis Summary
DeepSeek V3.2 is a text model from DeepSeek with a 163,840-token context window, tool use, and function calling. Its coding index and live coding results are strong, while its math, general reasoning, and long-context measurements provide additional evidence for technical and document workflows. The available agentic index is more modest than its coding result, so coding strength should not be mistaken for universally reliable autonomous behavior.
For an agency, it is a practical candidate for code assistance, tool-connected tasks, and long-input analysis where cost matters. Its listed prices, $0.269 input and $0.40 output, support higher-volume use relative to premium-priced options. It is not a multimodal model in the supplied data, so image-based workflows need another choice. Pilot it on real repositories and tool sequences, and reserve stronger models for unusually difficult reasoning or high-consequence decisions.
Assessed September 23, 2026
Editorial notes
DeepSeek V3.2 combines a 44.2 coding index with tool use, function calling, and a 163K context window at low listed prices; its broader intelligence results remain below leading models.
The DFO score ranks models on the Artificial Analysis Intelligence Index and is refreshed as new models launch. The write-up and verdict are our own. Feedback?
DFO Verdict
DeepSeek V3.2 combines a 44.2 coding index with tool use, function calling, and a 163K context window at low listed prices; its broader intelligence results remain below leading models.
Benchmarks
Artificial Analysis data refreshed Sep 24, 2026. Arena ratings from the Sep 13, 2026 text leaderboard, with style control. Bars: magenta = reasoning, ink = coding and agents, cyan = instructions and long context.
How DeepSeek: DeepSeek V3.2 compares
DeepSeek: DeepSeek V3.2 ranks #108 of 428 AI models we track for overall intelligence, #75 of 198 for coding, #76 of 181 for agentic tasks. Its 164K-token context window is larger than 53% of the models we list. At $0.27 per million input tokens it is cheaper than 44% 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.
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?
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A website chatbot handling around 100 customer conversations a day, a few short messages each.
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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 #75 of 198 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.