# DeepSeek: deepseek-v4-pro

- Model ID: `deepseek-v4-pro`
- Provider: DeepSeek
- Web version: https://www.moleapi.com/en/models/deepseek/deepseek-v4-pro
- Content status: verified

## Model introduction

DeepSeek V4-Pro is the Pro model in DeepSeek's V4 family. DeepSeek's update notes confirm access through both OpenAI Chat Completions and Anthropic interfaces.

## Model capabilities

- OpenAI compatible
- Responses API
- Anthropic compatible
- Gemini compatible
- Prompt cache
- Reasoning

### Verified specifications

- Official model parameter: deepseek-v4-pro
- Verified interfaces: OpenAI Chat Completions; Anthropic
- Official announcement date: 2026-04-24

### Independent capability evaluation

- Reasoning, high effort
- Intelligence: 43 (#5/97)
- Output speed: 67.8 tok/s (#23/97)
- Time to first token: 1.64s
- Source: https://artificialanalysis.ai/models/deepseek-v4-pro-high

Ranks near the top of its large open-weight cohort with low first-token latency and a strong capability-cost balance.

## Model pricing and access

Pricing is supplied dynamically by the MoleAPI console API.

### Standard (default, x1)

- Input: $0.67 / 1M tokens
- Output: $1.34 / 1M tokens
- Cache read: $0.02 / 1M tokens
- Cache write: $0.83 / 1M tokens

### Discount (discount, x0.8)

- Input: $0.536 / 1M tokens
- Output: $1.072 / 1M tokens
- Cache read: $0.016 / 1M tokens
- Cache write: $0.664 / 1M tokens

### Relay (relay, x0.3)

- Input: $0.201 / 1M tokens
- Output: $0.402 / 1M tokens
- Cache read: $0.006 / 1M tokens
- Cache write: $0.249 / 1M tokens

### Temporary (availability may vary) (temp, x0.1)

- Input: $0.067 / 1M tokens
- Output: $0.134 / 1M tokens
- Cache read: $0.002 / 1M tokens
- Cache write: $0.083 / 1M tokens

### Access protocols

| Protocol | Method | Endpoint |
| --- | --- | --- |
| openai | POST | /v1/chat/completions |
| openai-response | POST | /v1/responses |
| anthropic | POST | /v1/messages |
| gemini | POST | /v1beta/models/{model}:generateContent |
| openai-response-compact | POST | /v1/responses/compact |
| openai-alpha-search | POST | /v1/alpha/search |

- Live pricing source: https://home.moleapi.com/api/pricing

## About deepseek-v4-pro

# DeepSeek-V4-Pro model guide

DeepSeek-V4-Pro is DeepSeek’s preview flagship model for agentic coding, complex reasoning, world knowledge, mathematics, STEM, and coding workloads. It is an open-weight model with selectable thinking and non-thinking modes. [4][1]

## Positioning and core capabilities

DeepSeek positions V4-Pro as the higher-capability model in its V4 Preview family, with agentic capabilities and reasoning-oriented performance. [4] The model was announced as part of the live, open-sourced DeepSeek-V4 Preview on April 24, 2026. [4]

V4-Pro supports text input and text output, structured JSON output, tool calls, chat-prefix completion, and fill-in-the-middle completion. [1] Thinking mode is the default, while non-thinking mode is also available. [1]

## Capabilities and specs

DeepSeek-V4-Pro combines a long context window with a large maximum output allowance for extended reasoning and generation tasks. [1]

| Specification | Value |
|---|---|
| Total parameters | 1.6T [4] |
| Active parameters | 49B [4] |
| Context window | 1M tokens [1] |
| Maximum output | 384K tokens [1] |
| Modes | Thinking and non-thinking; thinking is the default [1] |
| Structured output | JSON output [1] |
| Tool use | Supported [1] |
| Completion features | Chat-prefix completion and fill-in-the-middle completion, both beta features [1] |

DeepSeek documents compatibility with OpenAI-format and Anthropic-format API interfaces for V4-Pro. [1]

## Use cases

DeepSeek-V4-Pro is positioned for coding agents, complex software tasks, mathematical reasoning, STEM problem solving, and knowledge-intensive work. [4] Its 1M-token context window also supports workloads that require large source collections, lengthy documents, or extended conversational state. [1]

Tool calling and structured JSON output support agentic workflows that combine model responses with external systems or structured application pipelines. [1] Chat-prefix and fill-in-the-middle completion features also support code-completion-oriented generation flows. [1]

## Material limitations

Fill-in-the-middle completion is available only in non-thinking mode. [1] Chat-prefix completion and fill-in-the-middle completion are documented as beta features. [1]

DeepSeek applies a default account-level concurrency limit of 500 simultaneous V4-Pro requests; requests exceeding that limit receive HTTP 429 responses. [5]

## Sources

- [1] [DeepSeek models and pricing documentation](https://api-docs.deepseek.com/quick_start/pricing/)
- [4] [DeepSeek V4 Preview Release](https://api-docs.deepseek.com/news/news260424/)
- [5] [Rate Limit & Isolation](https://api-docs.deepseek.com/quick_start/rate_limit/)


## Code examples

### cURL

```bash
curl https://api.moleapi.com/v1/responses \
  -H "Authorization: Bearer $MOLEAPI_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{"model":"deepseek-v4-pro","input":"Explain this problem step by step."}'
```

### Python

```python
from openai import OpenAI

client = OpenAI(base_url="https://api.moleapi.com/v1", api_key="YOUR_MOLEAPI_API_KEY")
response = client.responses.create(model="deepseek-v4-pro", input="Explain this problem step by step.")
print(response.output_text)
```

### TypeScript

```typescript
import OpenAI from "openai";

const client = new OpenAI({ baseURL: "https://api.moleapi.com/v1", apiKey: process.env.MOLEAPI_API_KEY });
const response = await client.responses.create({ model: "deepseek-v4-pro", input: "Explain this problem step by step." });
console.log(response.output_text);
```

## More related models

- [deepseek-v4-flash](https://www.moleapi.com/en/models/deepseek/deepseek-v4-flash) — DeepSeek
- [deepseek-v4-flash-260425](https://www.moleapi.com/en/models/deepseek/deepseek-v4-flash-260425) — DeepSeek
- [deepseek-v4-flash-vision-exp](https://www.moleapi.com/en/models/deepseek/deepseek-v4-flash-vision-exp) — DeepSeek
- [gpt-5.6-luna](https://www.moleapi.com/en/models/openai/gpt-5.6-luna) — OpenAI
- [gpt-5.6-sol](https://www.moleapi.com/en/models/openai/gpt-5.6-sol) — OpenAI
- [gpt-5.6-terra](https://www.moleapi.com/en/models/openai/gpt-5.6-terra) — OpenAI

## Frequently asked questions

### How is deepseek-v4-pro priced?

Prices are read from the MoleAPI console API and update with model prices, context tiers, and account groups.

### How can I access deepseek-v4-pro?

The catalog currently lists openai, openai-response, anthropic, gemini, openai-response-compact, openai-alpha-search.

### How do I switch an existing project to deepseek-v4-pro?

Keep the MoleAPI API address and key, replace the model parameter, and check protocol-specific parameters.

### Where do the deepseek-v4-pro details come from?

Capabilities and limitations are checked against DeepSeek and the other cited pages; pricing and protocols come from the MoleAPI console.