Hugging Face model card
Fields: tags, gated, license, summary, base model, library name, pipeline tag, base model relation
We introduce **DeepSeek-V3.2**, a model that harmonizes high computational efficiency with superior reasoning and agent performance. Our approach is built upon three key technical breakthroughs:
- Context
- 164K
- Max output
- 66K
- Input
- $0.269
- Output
- $0.40
Recommended use cases
Strengths in this dataset
- 163,840-token context window
- text input
- 19 supported API parameters listed
Limits and caveats
- Provider behavior and pricing can change; verify the linked sources before production use.
Capability
Model-native facts
Model- Reasoning
- Supported
- Open weights
- Unknown
Provider endpoint facts
Provider endpoint- Tool calling
- Supported
- Structured output
- Supported
- Streaming
- Unknown
- Prompt cache
- Supported
- Batch
- Unknown
- Fine-tuning
- Unknown
DeepSeek V3.2 Provider pricing
Provider endpoint: deepseek/deepseek-v3.2
- Input
- $0.269 per 1M tokens
- Output
- $0.40 per 1M tokens
- Cached input
- $0.1345 per 1M tokens
- Image output
- Unknown per 1M tokens
Sources and verification
Official model documentation
Fields: model identity
OpenRouter Models API
Fields: identity, description, modalities, context window, maximum output, pricing, supported parameters
Frequently asked questions
Answers are generated from the same sourced model and provider facts shown above.
We introduce **DeepSeek-V3.2**, a model that harmonizes high computational efficiency with superior reasoning and agent performance. Our approach is built upon three key technical breakthroughs:
Model specifications and prices may vary by provider and change over time. AIToolly displays sources and verification dates so users can confirm critical details before production use.