DeepSeek-V3.1
by DeepSeek
DeepSeek-V3.1 is a model from DeepSeek, released on January 10, 2025. It has a 164K-token context window and can generate up to 164K output tokens. API pricing is $0.25 per 1M input tokens and $0.95 per 1M output tokens.
DeepSeek-V3.1 is a hybrid model supporting both thinking and non-thinking modes through different chat templates. Built on DeepSeek-V3.1-Base with a two-phase long context extension (32K phase: 630B tokens, 128K phase: 209B tokens), it features 671B total parameters with 37B activated. Key improvements include smarter tool calling through post-training optimization, higher thinking efficiency achieving comparable quality to DeepSeek-R1-0528 while responding more quickly, and UE8M0 FP8 scale data format for model weights and activations. The model excels in both reasoning tasks (thinking mode) and practical applications (non-thinking mode), with particularly strong performance in code agent tasks, math competitions, and search-based problem solving.
Key specs
| Provider | DeepSeek |
|---|---|
| Release date | 2025-01-10 |
| License | open source |
| Context window | 164K tokens |
| Max output | 164K tokens |
| Input price | $0.25 / 1M tokens |
| Output price | $0.95 / 1M tokens |
| Intelligence Score | 22 |
| Coding index | 12.4 |
Quick answers
What is the context window of DeepSeek-V3.1?
DeepSeek-V3.1 has a context window of 164K tokens, with a maximum output of 164K tokens per response.
How much does DeepSeek-V3.1 cost?
DeepSeek-V3.1 costs $0.25 per 1M input tokens and $0.95 per 1M output tokens through the API.
Is DeepSeek-V3.1 open source?
Yes. DeepSeek-V3.1 is an open model released under the open source license.
When was DeepSeek-V3.1 released?
DeepSeek released DeepSeek-V3.1 on January 10, 2025.
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