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DeepSeek V4 Flash 0731 Fast API

DeepSeek

63% cheaper than OpenRouter

DeepSeek V4 Flash 0731 Fast is Venice’s low-latency serving profile for the 0731 DeepSeek V4 Flash checkpoint, with a 1M-token context window and reasoning, coding, tool, and structured-output support.

About DeepSeek V4 Flash 0731 Fast

DeepSeek V4 Flash 0731 Fast is a large language model developed by DeepSeek. It's particularly well-suited for tackling complex, multi-step reasoning problems, orchestrating tool-using agents that call APIs and external services, grounding responses in real-time web search results, producing structured outputs for reliable data extraction, and handling large contexts of up to 1M tokens. Its 1M-token context window means you can pass in entire documents, codebases, or conversation histories without losing context. Developers choose DeepSeek V4 Flash 0731 Fast when they need reliable, production-quality AI inference through a simple API — and on Qubax, it's available at a fraction of the cost of traditional providers.

In the broader AI landscape, DeepSeek V4 Flash 0731 Fast sits among the frontier-tier offerings from DeepSeek With advanced reasoning and agentic tool use, it competes with the most frontier-tier models on the market. What sets it apart on Qubax isn't just the model itself — it's the accessibility. Rather than dealing with enterprise contracts or traditional payment rails, you get instant access via an OpenAI-compatible endpoint. That means you can drop DeepSeek V4 Flash 0731 Fast into Cursor, Cline, LangChain, or any framework that speaks the OpenAI protocol and start building immediately.

Qubax offers DeepSeek V4 Flash 0731 Fast at 63% below OpenRouter's price — just $0.131 per million input tokens and $0.263 per million output tokens. That pricing advantage compounds quickly at scale: a high-volume application sending millions of tokens per day can save significantly compared to using OpenRouter or the provider directly. And because Qubax runs on crypto-native infrastructure, you can pay with USDC, USDT, ETH, BTC, or 200+ other cryptocurrencies — no credit card or bank account required.

Pricing

Token TypeQubaxOpenRouterYou Save
Input (per 1M tokens)$0.131$0.35063%
Output (per 1M tokens)$0.263$0.70063%

Prices per 1 million tokens. Pay with 200+ cryptocurrencies.

Price History (60 Days)

Sep 1 Sep 13 49.44% cheaper than last week

This model's price over the last 60 days. Compare against all top AI models →

Estimated Monthly Cost

AI Chatbot
$11.81/mo
$31.50 on OpenRouter
Coding Copilot
$23.62/mo
$63.00 on OpenRouter
AI Agent
$23.62/mo
$63.00 on OpenRouter

Specifications

Context Window
1M
Max Output
33K
Provider
DeepSeek
Modality
TEXT

Use Cases

Complex Reasoning
Multi-step problem solving, math, and logical analysis
Function Calling
Build agents and tool-using applications
Long Documents
Process entire codebases, books, or lengthy conversations
Chat & Conversation
Build AI chatbots and conversational assistants
Content Generation
Write articles, code, emails, and more

Capabilities

Reasoning reasoning Configurable Tool Use Streaming Structured Output json Schema Web Search logprobs Seed Control

Quick Start

Python
from openai import OpenAI

client = OpenAI(
    base_url="https://api.qubax.ai/v1",
    api_key="qbx_live_YOUR_API_KEY",
)

response = client.chat.completions.create(
    model="deepseek-v4-flash-0731-fast",
    messages=[
        {"role": "user", "content": "Hello!"}
    ],
)

print(response.choices[0].message.content)
JavaScript
import OpenAI from "openai";

const client = new OpenAI({
  baseURL: "https://api.qubax.ai/v1",
  apiKey: "qbx_live_YOUR_API_KEY",
});

const response = await client.chat.completions.create({
  model: "deepseek-v4-flash-0731-fast",
  messages: [{ role: "user", content: "Hello!" }],
});

console.log(response.choices[0].message.content);
cURL
curl https://api.qubax.ai/v1/chat/completions \
  -H "Content-Type: application/json" \
  -H "Authorization: Bearer qbx_live_YOUR_API_KEY" \
  -d '{
    "model": "deepseek-v4-flash-0731-fast",
    "messages": [{"role": "user", "content": "Hello!"}]
  }'

Get your API key from the dashboard.

Why use DeepSeek V4 Flash 0731 Fast on Qubax?

63% Cheaper

Up to 63% off OpenRouter prices

Pay with Crypto

200+ coins (BTC, ETH, SOL, USDT, USDC & more). No credit card needed.

OpenAI Compatible

Drop-in replacement. Works with Cline, Cursor, any tool.

Get started →

More from DeepSeek

Compare DeepSeek V4 Flash 0731 Fast with alternatives

ModelProviderInput / 1MOutput / 1Mvs DeepSeek V4 Flash 0731 Fast
DeepSeek V4 Flash 0731 FastDeepSeek$0.131$0.263
NVIDIA Nemotron 3 Ultra 550BOther$0.188$0.938More expensive
GPT-5.4 Image 2OpenAI$0.120$0.225 Cheaper
Qwen 3.6 35B A3B (E2EE)Alibaba$0.134$0.867More expensive
Meta: Muse Spark 1.2 ContributorMeta$0.068$0.135 Cheaper

Frequently Asked Questions

How much does the DeepSeek V4 Flash 0731 Fast API cost?

On Qubax, DeepSeek V4 Flash 0731 Fast costs $0.131 per 1M input tokens and $0.263 per 1M output tokens. This is 63% cheaper than OpenRouter's price of $0.350 per 1M input tokens.

Is the DeepSeek V4 Flash 0731 Fast API compatible with OpenAI?

Yes. Qubax provides an OpenAI-compatible API. You can use DeepSeek V4 Flash 0731 Fast as a drop-in replacement by changing your base URL to https://api.qubax.ai/v1 and using your Qubax API key. It works with Cline, Cursor, OpenCode, Hermes Agent, and any tool that supports OpenAI APIs.

Why is DeepSeek V4 Flash 0731 Fast cheaper on Qubax than OpenRouter?

Qubax sources AI inference from an open compute marketplace on the Base blockchain where GPU providers compete on price. We pass the savings to you — 63% cheaper than OpenRouter's price for DeepSeek V4 Flash 0731 Fast.

How do I pay for DeepSeek V4 Flash 0731 Fast API usage?

Qubax uses prepaid crypto credits. Deposit USDC on the Base chain and your balance is automatically deducted as you use the API. No credit card required. Top up from $3.

What is the context window of DeepSeek V4 Flash 0731 Fast?

DeepSeek V4 Flash 0731 Fast supports a context window of 1M tokens, allowing you to process large documents, codebases, or long conversations in a single request.

What can I build with DeepSeek V4 Flash 0731 Fast?

DeepSeek V4 Flash 0731 Fast is versatile enough for a wide range of applications. You can use it to tackle complex multi-step reasoning tasks, build autonomous agents that call external tools and APIs, answer questions with real-time web search, generate structured JSON output for data pipelines, process long documents and entire codebases, and more. Because it's served through Qubax's OpenAI-compatible API, integration into existing apps, agents, or workflows takes just a few lines of code.

How fast is DeepSeek V4 Flash 0731 Fast on Qubax?

DeepSeek V4 Flash 0731 Fast on Qubax supports streaming responses, so tokens begin arriving in real time as they're generated. Latency depends on the provider and prompt complexity, but most requests start streaming within 200–800 milliseconds. Qubax routes requests through an intelligent routing layer, which selects the fastest available compute provider for each request — so you get competitive latency at a lower price.

DeepSeek V4 Flash 0731 Fast vs NVIDIA Nemotron 3 Ultra 550B: which should I choose?

DeepSeek V4 Flash 0731 Fast by DeepSeek and NVIDIA Nemotron 3 Ultra 550B by Other are both strong models in a similar price tier. DeepSeek V4 Flash 0731 Fast excels at complex reasoning. NVIDIA Nemotron 3 Ultra 550B comes from a different lab and may have different strengths depending on your workload. On Qubax, DeepSeek V4 Flash 0731 Fast starts at $0.131/1M input tokens versus NVIDIA Nemotron 3 Ultra 550B's $0.188/1M — making DeepSeek V4 Flash 0731 Fast the more cost-effective option for high-volume workloads. Both are available on Qubax with crypto payments and OpenAI-compatible APIs, so you can try each and switch freely.

Can I use DeepSeek V4 Flash 0731 Fast for commercial projects?

Yes. DeepSeek V4 Flash 0731 Fast on Qubax can be used for commercial purposes. You own the outputs you generate. Qubax provides the API infrastructure — you bring your use case.

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