Model Library
DeepSeekReleased December 1, 2025DeepSeek V3.2
DeepSeek · Released December 1, 2025
Intelligence score
33
At a glance
- Intelligence
- 33
- Speed
- —
- Latency
- —
- Input price
- $0.28per 1M tokens
- Output price
- $0.42per 1M tokens
- Context window
- 130Ktokens
- Parameters
- 685billions
Summary
Comparison summary
DeepSeek V3.2 (Reasoning) scores 33 (estimated) on the Artificial Analysis Intelligence Index, placing it well above average among other open weight models of similar size (median: 25). DeepSeek V3.2 (Reasoning) costs $0.28 per 1M input tokens (very competitive, median: $0.59) and $0.42 per 1M output tokens (very competitive, median: $2.20), based on DeepSeek's API.
Specifications
Technical specifications
| Model name | DeepSeek V3.2 |
|---|---|
| Provider | DeepSeek |
| Release date | December 1, 2025 |
| Intelligence score | 33 |
| Speed | — |
| Latency (TTFT) | — |
| Input price | $0.28 / 1M tokens |
| Output price | $0.42 / 1M tokens |
| Context window | 130,000 tokens |
| Parameters | 685B |
| Reasoning | Yes |
| Input modalities | text |
| Output modalities | — |
| Open weights | Yes |
| License | MIT |
| API availability | — |
| Source | Model Intelligence legacy profile: deepseek-v3-2-reasoning |
Pricing
Token prices
Price per 1M tokens
DeepSeek V3.2, as listed in the catalog record
- Input$0.28
- Output$0.42
| Token type | Price per 1M |
|---|---|
| Input | $0.28 |
| Output | $0.42 |
Model Intelligence legacy profile: deepseek-v3-2-reasoning
FAQ · 18
Frequently asked questions
DeepSeek V3.2 (Reasoning) was released on December 1, 2025.
DeepSeek V3.2 (Reasoning) was created by DeepSeek.
DeepSeek V3.2 (Reasoning) scores 33 (estimated) on the Artificial Analysis Intelligence Index, placing it well above average among other open weight models of similar size (median: 25).
DeepSeek V3.2 (Reasoning) costs $0.28 per 1M input tokens (very competitive, median: $0.59) and $0.42 per 1M output tokens (very competitive, median: $2.20), based on DeepSeek's API.
DeepSeek V3.2 (Reasoning) costs $0.28 per 1M input tokens and $0.42 per 1M output tokens (based on DeepSeek's API). For a blended rate (7:2:1 cache hit/input/output ratio), this is $0.11 per 1M tokens. Pricing may vary by provider.
Yes, DeepSeek V3.2 (Reasoning) is a reasoning model. It uses extended thinking or chain-of-thought reasoning to work through complex problems before providing an answer.
DeepSeek V3.2 (Reasoning) supports text input.
DeepSeek V3.2 (Reasoning) supports text output.
No, DeepSeek V3.2 (Reasoning) does not support image input. It can only process text.
No, DeepSeek V3.2 (Reasoning) is not multimodal. It only supports text input.
DeepSeek V3.2 (Reasoning) has a context window of 130k tokens. This determines how much text and conversation history the model can process in a single request.
Yes, DeepSeek V3.2 (Reasoning) is open weights. The model weights are publicly available and can be downloaded for self-hosting.
DeepSeek V3.2 (Reasoning) has 685 billion parameters (37 billion active).
DeepSeek V3.2 (Reasoning) is a Mixture of Experts (MoE) model with 685 billion total parameters, but only 37 billion active parameters are used during inference.
DeepSeek V3.2 (Reasoning) is released under the MIT license. This license allows commercial use.
DeepSeek V3.2 (Reasoning) achieves a score of 33 on the Artificial Analysis Intelligence Index. This composite benchmark evaluates models across reasoning, knowledge, mathematics, and coding.
Yes, DeepSeek V3.2 (Reasoning) is available via API through 14 providers.
DeepSeek V3.2 (Reasoning) is available through 14 API providers.