# DeepSeek: deepseek-v4-flash - Model ID: `deepseek-v4-flash` - Provider: DeepSeek - Web version: https://www.moleapi.com/en/models/deepseek/deepseek-v4-flash - Content status: verified ## Model introduction DeepSeek V4-Flash is the fast, economical open-weight V4 model. It supports a 1M context window, thinking and non-thinking modes, and OpenAI- and Anthropic-compatible APIs. ## Model capabilities - OpenAI compatible - Responses API - Anthropic compatible - Gemini compatible - Prompt cache - Reasoning ### Verified specifications - Official positioning: Fast, efficient, economical V4 model - Context window: 1,000,000 tokens - Maximum output: 384,000 tokens - Model size: 284B total / 13B active parameters ### Independent capability evaluation - Reasoning, max effort - Intelligence: 40 (#11/97) - Output speed: 120.4 tok/s (#12/97) - Time to first token: 1.26s - Source: https://artificialanalysis.ai/models/deepseek-v4-flash Trades a modest composite-score gap for much higher speed and lower price, making it a throughput-first open-weight option. ## Model pricing and access Pricing is supplied dynamically by the MoleAPI console API. ### Standard (default, x1) - Input: $0.22 / 1M tokens - Output: $0.67 / 1M tokens - Cache read: $0.0075 / 1M tokens - Cache write: $0.275 / 1M tokens ### Discount (discount, x0.8) - Input: $0.176 / 1M tokens - Output: $0.536 / 1M tokens - Cache read: $0.006 / 1M tokens - Cache write: $0.22 / 1M tokens ### Relay (relay, x0.3) - Input: $0.066 / 1M tokens - Output: $0.201 / 1M tokens - Cache read: $0.0023 / 1M tokens - Cache write: $0.0825 / 1M tokens ### Temporary (availability may vary) (temp, x0.1) - Input: $0.022 / 1M tokens - Output: $0.067 / 1M tokens - Cache read: $0.0008 / 1M tokens - Cache write: $0.0275 / 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-flash DeepSeek-V4-Flash is an API model in the DeepSeek V4 series. It supports thinking and non-thinking modes and provides capabilities including long context, JSON Output, tool calling, chat prefix continuation, and FIM Completion.[4] ## Model Positioning and Core Capabilities DeepSeek-V4-Flash is designed for text generation workflows that can switch between thinking and non-thinking modes. Thinking mode is enabled by default.[4] The model supports JSON Output, Tool Calls, chat prefix continuation (Beta), and FIM Completion (Beta).[4] Thinking mode can be used for generation tasks involving reasoning processes, while non-thinking mode provides an alternative generation mode.[4] DeepSeek describes V4 Preview as having stronger Agent capabilities and reasoning capabilities, and it is available on the web, in the App, and through the API.[6] ## Capabilities and Specifications DeepSeek-V4-Flash provides a 1M context window and a maximum output length of 384K, making it suitable for tasks that process long inputs and generate longer results.[4] The officially listed concurrency limit is 2500.[4] | Specification | Parameter | | --- | --- | | Context length | 1M tokens [4] | | Maximum output length | 384K tokens [4] | | Thinking mode | Supported, enabled by default [4] | | Non-thinking mode | Supported [4] | | JSON Output | Supported [4] | | Tool Calls | Supported [4] | | Chat prefix continuation | Supported, Beta [4] | | FIM Completion | Supported, Beta; non-thinking mode only [4] | | Concurrency limit | 2500 [4] | ## Use Cases The 1M context window of DeepSeek-V4-Flash supports long-document processing, multi-turn conversations, and text generation workflows that need to retain substantial context.[4] JSON Output and Tool Calls can be used for structured result generation and tool-calling workflows.[4] Chat prefix continuation is suitable for workflows that continue generating from existing text.[4] FIM Completion can be used for scenarios that require completing content within existing text, but this capability is available only in non-thinking mode.[4] ## Important Limitations FIM Completion supports only non-thinking mode and cannot be used together with thinking mode.[4] Both chat prefix continuation and FIM Completion are labeled as Beta features.[4] The model concurrency limit is 2500. Rate limiting and isolation rules when this limit is exceeded are defined by DeepSeek's applicable service rules.[4] ## Sources [4] [DeepSeek 模型 & 价格文档](https://api-docs.deepseek.com/zh-cn/quick_start/pricing) [6] [DeepSeek 官网](https://deepseek.com/en/index.html) ## 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-flash","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-flash", 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-flash", input: "Explain this problem step by step." }); console.log(response.output_text); ``` ## More related models - [deepseek-v4-pro](https://www.moleapi.com/en/models/deepseek/deepseek-v4-pro) — 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-flash 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-flash? 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-flash? Keep the MoleAPI API address and key, replace the model parameter, and check protocol-specific parameters. ### Where do the deepseek-v4-flash details come from? Capabilities and limitations are checked against DeepSeek and the other cited pages; pricing and protocols come from the MoleAPI console.