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DeepSeek V4 Flash

Up to 23%

DeepSeek V4 Flash is an efficiency-optimized Mixture-of-Experts large language model from DeepSeek, featuring a 1M-token context window and fast inference for high-throughput applications.

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What is DeepSeek V4 Flash?

DeepSeek V4 Flash is a 284B-parameter Mixture-of-Experts language model (with 13B active parameters) released by DeepSeek as the high-efficiency member of its V4 series. It is mainly used for general chat, reasoning, coding assistance, and agent-style workflows that need low latency and high throughput over long contexts. It is also adopted in production APIs and gateways as a cost-efficient default model for large-context applications. DeepSeek V4 Flash belongs to the DeepSeek V4 family, released alongside the more compute-intensive DeepSeek V4 Pro and succeeding earlier DeepSeek V3-generation models.

Providers

Different companies host the same model. OpenRouter routes your request to one of them based on the routing mode you pick — Balanced (price + speed), Nitro (fastest), or Exacto (highest tool-calling accuracy).

Provider Input Output Cache read /M Latency Throughput Uptime
Azure $0.19 $0.51 $0.03 — — 100.00%
DeepSeek $0.22 $0.66 $0.01 ~120ms ~80 tps ~99.9%

Try this model

Test DeepSeek V4 Flash right here — free to start.

DeepSeek V4 Flash
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Code snippet

Call the model through the OpenAI-compatible API.

python 
                                        from openai import OpenAI
                                            
                                            client = OpenAI(
                                                api_key="YOUR_API_KEY",
                                                base_url="https://inference.example.com/v1"
                                            )
                                            
                                            response = client.chat.completions.create(
                                                model="deepseek/deepseek-v4-flash",
                                                messages=[
                                                    {
                                                        "role": "user",
                                                        "content": "Describe this image in one sentence."
                                                    }
                                                ],
                                            )
                                            
                                            print(response.to_json())
                                        
                                    
                                        {
                                                "model": "deepseek/deepseek-v4-flash",
                                                "messages": [
                                                    {
                                                        "role": "user",
                                                        "content": "Describe this image in one sentence."
                                                    }
                                                ]
                                            }

5 Core Capabilities

  • Conversational Chat

    Engages in multi-turn, context-aware dialogue, following instructions, answering questions, and adapting tone for various conversational tasks.

  • Image Understanding

    Interprets images to identify objects, scenes, and visual details, supporting vision-language tasks like description and basic reasoning.

  • Text Translation

    Translates text between multiple languages, preserving meaning and style for general-purpose multilingual communication and content localization.

  • Code and Tools

    Helps write, read, and reason about code and APIs, supporting debugging, explanation, and integration with external tools.

  • Text Extraction

    Extracts and structures textual information from visually presented content such as screenshots or documents for downstream processing.

6 Most Valuable Use Cases

  • Customer Support Chatbots
  • Invoice Data Extraction
  • Legal Document Review
  • Regulatory Change Monitoring
  • E-commerce Product Search
  • Code Generation Assistance

Why Build on LLM.API?

One unified API. Every major model. Built-in reliability, cost control, and observability.

  • Unified AI Routing

    Dynamically route each request to the best model across providers based on latency, price, and quality—no client changes required.

    One endpoint, every model

  • Cost-Aware Orchestration

    Control spend with per-route pricing policies, smart downshifts to cheaper models, and detailed cost breakdowns per project, user, and feature.

    Optimize every token

  • Resilient Fallback Flows

    Define provider-agnostic fallback chains so failed or slow calls automatically retry on alternative models without breaking your application.

    Stay up under failure

  • Deep LLM Observability

    Get full traces, logs, and metrics for every call—latency, tokens, costs, and errors—wired into your existing monitoring stack.

    See every token hop

  • Task-Level Abstractions

    Call high-level tasks like chat, tools, or RAG through one stable interface while LLM.API handles provider quirks and prompt wiring.

    Code to tasks, not models

  • High-Throughput Batch

    Process large workloads with parallel, rate-limit-aware batching, automatic retries, and consolidated results to keep pipelines fast and reliable.

    Scale jobs, not stress

When to Use — When NOT to Use

Use it if...

  • You need a low-cost model for high-volume chatbots and customer support automation.
  • You need fast, lightweight inference for simple classification, routing, or tagging tasks.
  • Your use case involves rapid prototyping where model cost and latency dominate accuracy.
  • You need a compact model to embed into resource-constrained backends or services.
  • Your use case involves short-context prompts with straightforward, non-nuanced generation needs.
  • You need a backup or fallthrough model for handling overflow traffic cheaply.

Avoid if...

  • You need frontier-level reasoning quality for complex multi-step planning or code synthesis.
  • Your workload requires best-in-class performance on safety-critical medical, legal, or financial tasks.
  • You need very long-context understanding across large documents, codebases, or research corpora.
  • Your workload requires strong multilingual performance across many low-resource or niche languages.
  • You need highly reliable adherence to strict policies, compliance constraints, or safety guarantees.
  • Your workload requires top-tier creative writing, stylistic control, and subtle narrative coherence.

Frequently Asked Questions

  • What is DeepSeek V4 Flash?

    DeepSeek V4 Flash is a fast, cost-efficient large language model by DeepSeek designed for high-throughput text generation and reasoning workloads.

  • What is the context window of DeepSeek V4 Flash?

    DeepSeek V4 Flash supports a context window of up to 32K tokens for prompts and conversation history.

  • What modalities does DeepSeek V4 Flash support via LLM.API?

    Through LLM.API, DeepSeek V4 Flash currently supports text-in, text-out interactions for chat, reasoning, and tool-augmented workflows.

  • How fast is DeepSeek V4 Flash in terms of latency?

    DeepSeek V4 Flash is optimized for low-latency streaming responses, making it suitable for real-time applications like chatbots and interactive tools.

  • How is DeepSeek V4 Flash priced on LLM.API?

    DeepSeek V4 Flash is billed on a pay-as-you-go basis on LLM.API, with separate per-token rates for input and output tokens.

  • How does DeepSeek V4 Flash compare to heavier DeepSeek models?

    Compared with larger DeepSeek models, DeepSeek V4 Flash trades some peak capability for significantly lower latency and cost-per-token.

  • What are the main strengths of DeepSeek V4 Flash?

    DeepSeek V4 Flash excels at high-volume chat, support automation, code assistance, and lightweight reasoning where low cost and responsiveness are critical.

  • What are known limitations of DeepSeek V4 Flash?

    DeepSeek V4 Flash may underperform frontier models on complex long-horizon reasoning, highly specialized domains, or tasks requiring exhaustive multi-step analysis.

  • How do I call DeepSeek V4 Flash through the LLM.API gateway?

    You can invoke DeepSeek V4 Flash by selecting the DeepSeek provider and specifying the model name "deepseek-v4-flash" in your LLM.API requests.

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