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DeepSeekText Generation/v1/ai/chat

DeepSeek V4 Flash

Access DeepSeek V4 Flash through one API key. 1M context, MoE speed, budget pricing.

DeepSeek's V4-generation efficiency model: 284B-parameter MoE with 13B activated, 1M token context, optimized for fast inference at ultra-low cost.

No credit card required. Takes 30 seconds.

2,400+

Developers

1.2M+

API calls served

100+

Endpoints

$0.01

Per call

Yep, that's it.

Try it live

Send a message and see DeepSeek V4 Flash respond in real time.

POST/v1/ai/chat

Maximum tokens in the response.

Real-time tokens

Hit "Send Request" to see the response

Context Window

1.0M tokens

Max Output

384K tokens

Input Price

$0.28 / 1M tokens

Output Price

$0.56 / 1M tokens

Strengths

1M token context

Accepts up to 1,048,576 input tokens, fitting entire codebases or large document sets into one request.

Fast inference

MoE design activates only 13B of its 284B parameters per token, delivering fast, efficient responses.

Ultra low cost

At $0.28 per 1M input tokens, it offers 1M-context, V4-generation capability at budget pricing.

MoE architecture

A 284B-parameter mixture-of-experts with 13B activated, balancing capability and inference efficiency.

Quick start

Copy this snippet and start making calls with DeepSeek V4 Flash.

const res = await fetch('https://api.yepapi.com/v1/ai/chat', {
  method: 'POST',
  headers: {
    'x-api-key': 'YOUR_API_KEY',
    'Content-Type': 'application/json',
  },
  body: JSON.stringify({
    "model": "deepseek/deepseek-v4-flash",
    "messages": [
      {
        "role": "user",
        "content": "Explain API gateways in 2 sentences."
      }
    ],
    "maxTokens": 256
  }),
});
const { data } = await res.json();
console.log(data.message.content);

Why use DeepSeek V4 Flash through YepAPI?

One API key for all models — no separate accounts
OpenAI SDK compatible — just change the base URL
No monthly minimums — pay per token
Switch models with one line of code
Full provider passthrough — citations, search results, and all extras included
Streaming and non-streaming support on every model
Works with Cursor, Claude, LangChain, and any LLM tool
Unified billing across all providers

DeepSeek V4 Flash API: 1M-context MoE efficiency model

DeepSeek V4 Flash is DeepSeek's V4-generation efficiency model, a 284B-parameter MoE with 13B activated, a 1M-token context window, and ultra-low pricing tuned for fast inference. YepAPI serves it through one OpenAI-compatible endpoint.

Your single YepAPI key also reaches Claude, Grok, Gemini, Kimi, and more, plus SEO, SERP, and scraping endpoints, so DeepSeek's cheap 1M context can feed your data pipelines.

What is DeepSeek V4 Flash?

DeepSeek V4 Flash is the efficiency-focused model in DeepSeek's V4 generation. It uses a 284-billion-parameter mixture-of-experts (MoE) architecture that activates just 13 billion parameters per token, which keeps inference fast and cheap while retaining large-model capability. It offers a 1,048,576-token context window and a very large 384,000-token output ceiling, so it can ingest entire codebases or document sets and still produce long responses. Positioned as DeepSeek's fast, low-cost V4 option, it is built for high-throughput workloads that need big context without flagship pricing.

Build with DeepSeek V4 Flash via YepAPI

Use YepAPI's OpenAI-compatible /v1/ai/chat endpoint with any OpenAI client. Set the base URL, add your key, and set the model string to DeepSeek V4 Flash; your existing messages and parameters carry over. Switching models is a single string change. Because one key reaches the full catalog, you can run large-context, high-volume work on V4 Flash and route harder reasoning to DeepSeek V4 Pro or other models, all from one integration.

DeepSeek V4 Flash API pricing — $0.28 input / $0.56 output per 1M tokens

DeepSeek V4 Flash costs $0.28 per 1M input tokens and $0.56 per 1M output tokens. For a V4-generation model with a 1M context window and MoE efficiency, this is exceptional value, far below comparable large-context models. Per-token billing means even very large inputs only cost what they consume, so you can routinely send big prompts in high-throughput pipelines without a steep bill.

DeepSeek V4 Flash for large-context, high-throughput tasks

DeepSeek V4 Flash is a strong fit when you need a big 1M-token context at low cost and fast turnaround, processing whole codebases, large document batches, or long histories at volume. The MoE design keeps inference efficient, and the 384K output ceiling supports long generations. It is the cost-efficient V4 choice for throughput-heavy workloads where you want large context and speed rather than maximum reasoning depth.

Try DeepSeek V4 Flash free

New YepAPI accounts get $5 in free credit with no card required. Given V4 Flash's low prices, that credit goes a long way, enough to test it on real large-context prompts, measure its speed, and compare it against other models on the same key before adding any payment method.

Start generating in 30 seconds

$5 free credit on signup. No credit card required. Pay per call.

What developers say

Switched from SerpAPI and cut our SERP costs by 80%. Same data quality, way simpler billing.

Marcus T.

SEO Platform Founder

One API key for AI models, SERP data, and web scraping. Saved us from managing 4 separate providers.

Priya S.

Full-Stack Developer

The $5 free credit let us prototype our entire rank tracking feature before committing. No other API does that.

Jake R.

Indie Hacker

Frequently asked questions

DeepSeek's V4-generation efficiency model: 284B-parameter MoE with 13B activated, 1M token context, optimized for fast inference at ultra-low cost.

Input tokens cost $0.28 per 1M tokens and output tokens cost $0.56 per 1M tokens through YepAPI. No monthly minimums — you only pay for what you use.

Sign up for a free API key, then send requests to the /v1/ai/chat endpoint.

DeepSeek V4 Flash supports a 1.0M token context window with up to 384K output tokens per request.

Ready to use DeepSeek V4 Flash?

$5 free credit on signup. No credit card required. Pay per call.

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