deepseek
DeepSeek: DeepSeek V3.2
DeepSeek V3.2 is a deep-learning model from DeepSeek with a substantial context length of 163,840 tokens and supports both reasoning and tools integration. It handles text inputs efficiently but does not offer structured output capabilities. At a cost of $0.269 per million input tokens and $0.4 per million output tokens, it might be more expensive than some alternatives; however, with no independent benchmark coverage yet, its performance relative to other models remains unverified. This model could be a strong contender for organizations that require robust reasoning and tool integration capabilities within their budget constraints.
Quality Score
95/100
price + capability + benchmarks
Input Price
$0.27
per 1M tokens
Output Price
$0.40
per 1M tokens
Context Window
163,840
tokens
- Model ID
- deepseek/deepseek-v3.2
- Vendor
- deepseek
- Released
- December 2025
- Tokenizer
- DeepSeek
- Input Modalities
- text
- Output Modalities
- text
- Max Output
- 65,536 tokens
- Tool Calling
- ✓ supported
- Structured Output
- ✓ supported
- Reasoning Mode
- ✓ supported
- Vision
- text only
- Audio
- no
- Moderated
- no
What it costs in practice
Computed from the current $0.27/M input and $0.40/M output rates. Run your own numbers →
| Job | Tokens | Cost |
|---|---|---|
| Summarize a 50-page report | 30k in / 1.5k out | under $0.01 |
| Classify 1,000 customer emails | 500k in / 50k out | $0.15 |
| A month of a busy support chatbot | 5M in / 2M out | $2.15 |
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Quick answers
- How much does DeepSeek: DeepSeek V3.2 cost?
- $0.27 per million input tokens and $0.40 per million output tokens.
- What is DeepSeek: DeepSeek V3.2's context window?
- 163,840 tokens, roughly 245 pages of text in a single request.
- Does DeepSeek: DeepSeek V3.2 support tool calling?
- It supports tool calling, structured output, a reasoning mode.
- Can DeepSeek: DeepSeek V3.2 process images?
- No, it is text-only on the input side.