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DeepSeek V4 Flash (free)

Up to 23%

DeepSeek V4 Flash (free) is an open-source, efficiency-optimized Mixture-of-Experts language model from DeepSeek, offering a 1M-token context window with only 13B parameters activated per token out of 284B total.

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What is DeepSeek V4 Flash (free)?

DeepSeek V4 Flash (free) is a 284B-parameter Mixture-of-Experts transformer language model from DeepSeek, with 13B active parameters per token and a 1M-token context window, positioned as the efficiency-tier model in the V4 series. It is mainly used for high-throughput chat, code generation, and structured reasoning, where low latency and token cost are critical. It also supports tool use, agent workflows, and long-context applications such as enterprise assistants and document-heavy analysis. DeepSeek V4 Flash belongs to the DeepSeek V4 family, alongside DeepSeek V4 Pro and earlier DeepSeek generations like V3 and R1.

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 OpenAI $0.19 $0.51 $0.03 ~250ms ~60 tps 100.00%
DeepSeek $0.22 $0.66 $0.01 ~180ms ~80 tps ~99.9%

Try this model

Test DeepSeek V4 Flash (free) right here — free to start.

DeepSeek V4 Flash (free)
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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-free",
                                                messages=[
                                                    {
                                                        "role": "user",
                                                        "content": "Describe this image in one sentence."
                                                    }
                                                ],
                                            )
                                            
                                            print(response.to_json())
                                        
                                    
                                        {
                                                "model": "deepseek/deepseek-v4-flash-free",
                                                "messages": [
                                                    {
                                                        "role": "user",
                                                        "content": "Describe this image in one sentence."
                                                    }
                                                ]
                                            }

5 Core Capabilities

  • Conversational Chat

    Handles multi-turn conversations, follows instructions, answers questions, and maintains context for a wide range of everyday topics.

  • Code Assistance

    Helps write, review, and explain code snippets, offering suggestions and basic debugging across commonly used programming languages.

  • Multilingual Translation

    Translates text between major languages, preserving general meaning and tone for everyday content and basic technical material.

  • Image Interpretation

    Examines images to identify objects and general scenes, supporting simple descriptions and context-based observations about visual content.

  • Text Extraction

    Reads and extracts legible text from images or screenshots to make the content searchable, editable, and easier to reuse.

6 Most Valuable Use Cases

  • High-volume Q&A
  • Customer Chatbots
  • Code Assistance
  • Long-context Research
  • Workflow Automation
  • Agent Tool Orchestration

Why Build on LLM.API?

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

  • Unified AI Routing

    Automatically route each request to the optimal model across providers based on latency, cost, and quality—without changing your integration or redeploying code.

    One endpoint, every model.

  • Cost-Aware Orchestration

    Control spend with per-route budgets, dynamic model selection, and detailed cost breakdowns so you can optimize for price without sacrificing performance.

    Ship fast, spend less.

  • Automatic Fallbacks

    Define resilient failover chains across providers so timeouts, rate limits, and model outages are handled transparently—keeping your AI features online.

    Resilience by default.

  • Deep Observability

    Get full visibility into every request—latency, errors, cost, and model choice—with searchable traces and metrics to debug, tune, and prove reliability.

    See every token.

  • Task-Level Abstractions

    Describe tasks like chat, classification, or extraction once, and let LLM.API handle prompts, tool-calling, and model quirks across vendors.

    Think tasks, not models.

  • High-Throughput Batching

    Batch thousands of calls into a single request, maximizing throughput and minimizing per-call overhead for large workloads like evaluations, backfills, and bulk inference.

    Scale jobs, not code.

When to Use — When NOT to Use

Use it if...

  • You need a free, fast LLM for everyday coding, writing, and Q&A tasks.
  • You need to prototype an AI feature quickly without worrying about usage costs.
  • Your use case involves high-volume, low-stakes requests like summaries, drafts, or translations.
  • Your use case involves students or hobbyists experimenting with AI on a tight budget.
  • You need a lightweight assistant to generate boilerplate code, scripts, or config snippets.
  • Your use case involves chat-style assistance embedded in tools or small web apps.
  • You need a backup or fallback model when your primary paid model is unavailable.

Avoid if...

  • You need state-of-the-art reasoning quality comparable to top-tier paid frontier models.
  • Your workload requires highly reliable domain expertise in law, medicine, or finance.
  • You need robust handling of extremely long context windows with consistent reasoning quality.
  • Your workload requires strict enterprise guarantees around uptime, SLAs, and compliance certifications.
  • You need advanced multimodal capabilities like image generation, audio understanding, or video reasoning.
  • Your workload requires fine-grained control, tuning, or custom safety policies at enterprise scale.
  • You need optimized inference for on-device or private deployment rather than hosted free access.

Frequently Asked Questions

  • What is DeepSeek V4 Flash (free)?

    DeepSeek V4 Flash (free) is a fast, costless DeepSeek text generation model accessible through the unified LLM.API gateway.

  • What is DeepSeek V4 Flash (free) best suited for?

    It is best for high-throughput chat, drafting, and lightweight reasoning tasks where low latency and zero usage cost are more important than maximum intelligence.

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

    DeepSeek V4 Flash (free) incurs no per-token usage fees, though standard LLM.API account and rate limit policies still apply.

  • What is the context window of DeepSeek V4 Flash (free)?

    DeepSeek V4 Flash (free) supports a 32K token context window for combined input and output via LLM.API.

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

    It is optimized for low latency and high token throughput, making it suitable for interactive applications and streaming responses.

  • Which modalities does DeepSeek V4 Flash (free) support on LLM.API?

    DeepSeek V4 Flash (free) currently supports text-in, text-out workloads only through LLM.API.

  • How do I call DeepSeek V4 Flash (free) via the LLM.API?

    Specify the model name "deepseek-v4-flash-free" in your LLM.API completion or chat endpoint request payload.

  • How does DeepSeek V4 Flash (free) compare to more capable DeepSeek models?

    It trades some reasoning depth, coding ability, and accuracy for significantly higher speed and zero per-token cost.

  • Are there any notable limitations of DeepSeek V4 Flash (free)?

    It may struggle with very complex reasoning, long multi-step tools workflows, or highly specialized domain knowledge compared to larger, paid models.

  • Can I use DeepSeek V4 Flash (free) for production workloads?

    Yes, but you should account for free-tier rate limits, potential availability constraints, and validate outputs for critical or high-risk use cases.

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