Model overview
DeepSeek-V3.1 is a large hybrid reasoning model (671B parameters, 37B active) that supports both thinking and non-thinking modes via prompt templates. It extends the DeepSeek-V3 base with a two-phase long-context...
The summary below is compiled from sources by an AI model, not our own testing. Verify selection decisions against original sources and your workload.
Key features
- 支持混合推理模式（thinking 和 non-thinking），通过 prompt 模板切换
- 具备长上下文能力，上下文长度达 163,840 tokens
- 支持结构化输出与工具调用，适用于复杂推理任务
Limitations & considerations
Sources are insufficient to establish specific limitations. Verify task performance, latency, data policies, licensing and version lifecycle.
Source prices & cost analysis
Prices vary by channel, region and configuration. Channel quotes are listed independently and are not treated as a single official provider price.
| Source / channel | Input | Output | Billing unit | Collected at |
|---|---|---|---|---|
| OpenRouter · deepseek/deepseek-chat-v3.1 ↗ | USD 0.25 | USD 0.95 | Per million tokens | 2026/11/2 06:25:30 |
Some channels offer cache discounts. Check the source for cache read, write and additional fees.
Estimate monthly base token costs
Estimates exclude cache discounts, tiered pricing, multimodal surcharges, web search, taxes and additional reasoning output.
Public benchmarks & run configuration
暂无已采集的可核验公开评分。模型未上榜不代表能力较低。
View full indexed rankings →Frequently asked questions
DeepSeek V3.1 是否支持长文本输入？
是的，上下文长度为 163,840 tokens，适合超长文本处理。
如何启用 thinking 模式？
通过特定 prompt 模板可激活 thinking 模式，具体格式需参考官方模板规范。
该模型是否支持结构化响应（如 JSON）？
是的，模型标签明确包含 'structured_outputs'，表明支持结构化输出。
Do open weights permit free commercial use?
Not necessarily. Check the version license, commercial conditions and usage policies. Self-hosting incurs compute and maintenance costs.
Are these real-time billing prices?
These are timestamped source snapshots, not live billing prices. Check the channel for current versions, regions, discounts and billing methods.
Sources & traceability
许可证：来源未披露，须进一步核验。模型介绍与第三方评测均以原来源的具体版本和方法为准。