# DeepSeek V4.1 Flash

DeepSeek V4.1 Flash is a language model from Deepseek with a 1M-token context window. Provider list price is $0.15 per million input tokens and $0.60 per million output; on Allocate you pay $0.16 and $0.64. The weights are open, so you can fine-tune it and own the result.

## Pricing

| | Provider list | On Allocate |
| --- | --- | --- |
| Input, per M tokens | $0.15 | $0.16 |
| Output, per M tokens | $0.60 | $0.64 |

Prices checked 2026-07-21.

## Facts

| Field | Value |
| --- | --- |
| Lab | Deepseek |
| Modality | Language |
| Context window | 1M tokens |
| License | Not listed |
| Open weights | Yes |
| Fine-tunable | Yes, on your data |
| Catalog id | deepseek/deepseek-v4.1-flash |

## What a real workload costs

Take 1,000,000 requests a month at 1,200 input and 350 output tokens each: 1,200M input and 350M output tokens. At list prices that is 1,200 × $0.15 + 350 × $0.60 = $390 a month. Billed on Allocate it is $417.30.

## Common questions

### How much does DeepSeek V4.1 Flash cost per million tokens?

Provider list price is $0.15 per million input tokens and $0.60 per million output tokens. On Allocate you pay $0.16 in and $0.64 out.

### What context window does DeepSeek V4.1 Flash have?

1,048,576 tokens (1M). At roughly 0.75 words per token, that is about 786k words of English text per request.

### Can I fine-tune DeepSeek V4.1 Flash?

Yes. DeepSeek V4.1 Flash is an open-weights model; check the lab’s model card for the exact license terms. Read the license terms before fine-tuning for commercial use. On Allocate the trained weights stay inside your boundary and belong to you.

### How do I call DeepSeek V4.1 Flash on Allocate?

Send deepseek/deepseek-v4.1-flash in the model field of the OpenAI-compatible endpoint at api.allocate.network/v1, or point a route name (like prod/support-agent) at it so you can swap the model later without a deploy.

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[HTML page](https://allocate.network/models/deepseek-deepseek-v4-1-flash) · [Machine-readable catalog](https://allocate.network/catalog.json)