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
Specifications come from the cited model material. Catalog tags help identify access features; use the source documentation for exact limits.
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
Sources: DeepSeek models and pricing documentation
Independent capability evaluation
Only public measurements matched to the exact model ID and reasoning profile are shown; nearby variants are not substituted.
Intelligence index
40
Cohort rank #11 / 97
Output speed
120.4 tok/s
Cohort rank #12 / 97
First-token latency
1.26s
Reasoning, max effort
Trades a modest composite-score gap for much higher speed and lower price, making it a throughput-first open-weight option.
Evaluation profile: Reasoning, max effort. Artificial Analysis · Methodology
Model pricing and access
Prices are read directly from the MoleAPI console catalog and shown by current billing group and context tier.
Your final charge follows the account group shown in the console.
Live pricing source
Pricing table
USD / 1M tokensStandardx1defaultInput $0.22 · Output $0.67
Input
$0.22 / 1M tokens
Output
$0.67 / 1M tokens
Cache read
$0.0075 / 1M tokens
Cache write
$0.275 / 1M tokens
Discountx0.8discountInput $0.176 · Output $0.536
Input
$0.176 / 1M tokens
Output
$0.536 / 1M tokens
Cache read
$0.006 / 1M tokens
Cache write
$0.22 / 1M tokens
Relayx0.3relayInput $0.066 · Output $0.201
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)x0.1tempInput $0.022 · Output $0.067
Input
$0.022 / 1M tokens
Output
$0.067 / 1M tokens
Cache read
$0.0008 / 1M tokens
Cache write
$0.0275 / 1M tokens
Access protocols
Available billing groups: Standard, Discount, Relay, Temporary (availability may vary)
- 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
Complete model guide
Prepared from vendor sources and independently reviewed. · 2026-07-28
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 [6] DeepSeek 官网
Code examples
These examples use MoleAPI's Responses API endpoint and run after you replace the API key.
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."
}'Frequently asked questions
How is deepseek-v4-flash priced?
This page reads prices from the MoleAPI console API and updates with model prices, context tiers, and account groups.
How can I access deepseek-v4-flash?
Protocols and endpoints come from the supported_endpoint_types field in the MoleAPI model catalog.
How do I switch an existing project to deepseek-v4-flash?
Keep the MoleAPI API address and key, replace the model parameter with the model ID on this page, then check protocol-specific parameter differences.
Where do the deepseek-v4-flash model details come from?
Capabilities and limitations are checked against DeepSeek and the other cited pages. Pricing and available protocols come only from the MoleAPI console.