DeepSeek: DeepSeek V3.1
The DeepSeek V3.1 is a text-based AI model developed by deepseek that can handle reasoning and supports tools integration. It processes input with a context length of 163,840 characters and has a maximum completion token count of 32,768. The model only accepts text as input modality. For users looking for a paid model with strong reasoning capabilities and tool support, DeepSeek V3.1 might be worth considering. Its pricing is competitive at $0.25 per million input tokens and $0.95 per million output tokens. However, it has no independent benchmark coverage yet, which may affect its overall performance standing.
- Model ID
- deepseek/deepseek-chat-v3.1
- Vendor
- deepseek
- Released
- August 2025
- Tokenizer
- DeepSeek
- Input Modalities
- text
- Output Modalities
- text
- Max Output
- 32,768 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 $0.25/M input and $0.95/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 | $0.17 |
| A month of a busy support chatbot | 5M in / 2M out | $3.15 |
Price & spec history
Tracked daily by PicksByModel since 2026-07-17.
| Date | Input /M | Output /M | Context |
|---|---|---|---|
| 2026-09-08 | $0.25 | $0.95 | 163,840 |
| 2026-09-04 | $0.55 | $1.65 | 163,840 |
| 2026-09-02 | $0.25 | $0.95 | 163,840 |
| 2026-08-22 | $0.55 | $1.65 | 163,840 |
| 2026-07-17 | $0.25 | $0.95 | 163,840 |
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Quick answers
- How much does DeepSeek: DeepSeek V3.1 cost?
- $0.25 per million input tokens and $0.95 per million output tokens.
- What is DeepSeek: DeepSeek V3.1's context window?
- 163,840 tokens, roughly 245 pages of text in a single request.
- Does DeepSeek: DeepSeek V3.1 support tool calling?
- It supports tool calling, structured output, a reasoning mode.
- Can DeepSeek: DeepSeek V3.1 process images?
- No, it is text-only on the input side.