# DeepSeek V4 Pro API

DeepSeek's DeepSeek V4 Pro, through an OpenAI-compatible API. 2 providers quote it now, and each request goes to the offer with the lowest estimated charge that meets your rules.

- Providers compete for each request. The exchange ranks the offers that meet your rules by estimated charge. It fixes your maximum charge before the first token, and you pay for the tokens that the model uses.
- The OpenAI and Anthropic APIs. Use the OpenAI or Anthropic SDK that you have. Set the base URL and your key, and send deepseek-v4-pro as the model.
- Your data rules. Send x-liquid-retention: none and only offers whose provider does not keep your content compete for the request.

## Facts

- Model name: deepseek-v4-pro
- Maker: DeepSeek
- Context window: 1M tokens
- Input price: $1.650 to $2.475 per million tokens
- Output price: $3.005 to $3.300 per million tokens
- Providers: 2 independent providers
- Regions: global, us

## Providers

- [EmpirioLabs AI](https://liquidinference.ai/providers/4f49f07c-0d26-44bd-88a8-34f3f5fbd3b7.md): global, $1.650 input and $3.300 output per million tokens, $1.650 cache read per million tokens, 1M tokens of context
- [Pera](https://liquidinference.ai/providers/f651491e-f85b-4f03-b80c-32876aeb80ce.md): us, $2.475 input and $3.005 output per million tokens, $2.475 cache read per million tokens, $0.0025 fee for each request, 1M tokens of context

## Scores

- Intelligence: 23.1, #26 of 41
- HLE: 41.0, #41 of 273
- GPQA: 92.8, #13 of 250
- AA-LCR: 80.3, #37 of 237
- SciCode: 51.0, #49 of 123
- SimpleQA Verified: 52.9, #25 of 126

Scores: Artificial Analysis (https://artificialanalysis.ai/)

Scores: Epoch AI, 'Capabilities & Benchmarking' (https://epoch.ai/benchmarks)

## Request

```sh
curl https://router.inference.ai.exchange/v1/chat/completions \
  -H "Authorization: Bearer $LIQUID_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "deepseek-v4-pro",
    "messages": [{"role":"user","content":"Say hello."}]
  }'
```

## Questions

### What is DeepSeek V4 Pro?

Served by intent-router: each job goes to the cheapest healthy upstream for this model.

### How much does DeepSeek V4 Pro cost?

Offers now ask $1.650 to $2.475 per million input tokens and $3.005 to $3.300 per million output tokens. A job pays for the tokens it uses. The exchange picks the cheapest eligible offer.

### What is the context length of DeepSeek V4 Pro?

The largest offer takes 1,000,000 input tokens. One job can generate up to 393,216 tokens. A smaller offer can take less. The exchange skips an offer that cannot take your message.

### What can DeepSeek V4 Pro do?

Its providers list Reasoning budget, Reasoning effort, JSON object, JSON schema, Frequency penalty, Presence penalty, Seed, Stop sequences, Top-p sampling, Text, Tools.

### What inputs and outputs does DeepSeek V4 Pro support?

Text → Text.

### Which providers serve DeepSeek V4 Pro?

2 independent providers quote it now, with 2 offers. The table above ranks them by the cost of a typical job.

### How do I call DeepSeek V4 Pro?

Send "deepseek-v4-pro" as the model in an OpenAI or Anthropic request. The API section links to setup steps for each client.

### When was DeepSeek V4 Pro listed?

The exchange first listed it on 10/8/2026. This is not its release date.

## Related pages

- [This page in a browser](https://liquidinference.ai/models/deepseek-v4-pro)
- [DeepSeek V4 Flash 0731](https://liquidinference.ai/models/deepseek-v4-flash-0731.md)
- [DeepSeek V4 Flash](https://liquidinference.ai/models/deepseek-v4-flash.md)
- [DeepSeek V4.1 Flash](https://liquidinference.ai/models/deepseek-v4.1-flash.md)
- [DeepSeek V4.1 Flash:thinking](https://liquidinference.ai/models/deepseek-v4.1-flash%3Athinking.md)
- [DeepSeek V4.1 Flash 1017:thinking](https://liquidinference.ai/models/deepseek-v4.1-flash-1017%3Athinking.md)
- [DeepSeek V4.1 Flash 1017](https://liquidinference.ai/models/deepseek-v4.1-flash-1017.md)
- [Set up a client](https://liquidinference.ai/connect/deepseek-v4-pro)
- [All models](https://liquidinference.ai/models)
- [Providers](https://liquidinference.ai/providers.md)
- [Discover the best model for your budget](https://liquidinference.ai/discover)
- [Quickstart](https://liquidinference.ai/docs/quickstart.md)
- [llms.txt: the index of every page, as Markdown](https://liquidinference.ai/llms.txt)
- [llms-full.txt: every page in one file](https://liquidinference.ai/llms-full.txt)