DeepSeek-V4-Flash
DeepSeek-V4-Flash is an open-weight 1M context AI model scoring 54.4% on SWE-bench at $0.14 per 1M tokens, optimized for agentic coding and reasoning.
deepseekDeepSeek V42026-07-31About DeepSeek-V4-Flash
Learn about DeepSeek-V4-Flash's capabilities, features, and how it can help you achieve better results.
DeepSeek-V4-Flash is an open-weight Mixture of Experts (MoE) language model designed for software engineering and multi-step reasoning tasks. It contains 284 billion total parameters with 13 billion active parameters per token during inference. The model utilizes a native 1,048,576 token context window, allowing developers to process entire code repositories or long technical documents in a single request.
The July 31, 2026 update maintains the architecture of the initial preview model while applying post-training focused on agentic behavior. This re-post-training improved its score on Terminal-Bench 2.1 from 61.8 to 82.7 and increased its SWE-bench result to 54.4%. The model supports variable reasoning effort levels and native responses API integration for streaming intermediate commentary alongside final outputs.
Developers can access the model through DeepSeek's OpenAI-compatible API or run open weights locally on hardware configurations with 128GB to 192GB of unified memory. The standard API pricing is $0.14 per 1 million input tokens and $0.28 per 1 million output tokens, with cached input hits dropping to $0.03 per million tokens.
Use Cases
Discover the different ways you can use DeepSeek-V4-Flash to achieve great results.
Autonomous Agentic Coding
Running multi-step terminal and file modifications using Codex CLI or Cline harnesses to fix GitHub issues and automate test creation.
Local AI Deployment
Hosting the full model on workstations equipped with 128GB unified memory or four GPUs using 4-bit quantizations.
Large-Scale Repository Refactoring
Ingesting up to 1 million tokens of codebase context to map dependencies and execute architectural updates across multiple modules.
Interactive 3D and Front-End Web Generation
Building single-file web applications, Three.js 3D environments, and complex SVG diagrams directly from prompt specifications.
High-Volume Data Processing
Processing extensive text logs and structured documents using context caching to lower API costs to $0.03 per million tokens.
Multi-Step Terminal Automation
Executing shell commands and script pipelines where the model uses internal reasoning to handle unexpected command errors.
Strengths
Limitations
API Quick Start
deepseek/deepseek-v4-flash-0731
import OpenAI from 'openai';
const openai = new OpenAI({
baseURL: 'https://api.deepseek.com',
apiKey: process.env.DEEPSEEK_API_KEY,
});
async function main() {
const completion = await openai.chat.completions.create({
model: 'deepseek-v4-flash',
messages: [{ role: 'user', content: 'Write a TypeScript function to balance a binary search tree.' }],
temperature: 1.0,
top_p: 0.95,
});
console.log(completion.choices[0].message.content);
}
main();Install the SDK and start making API calls in minutes.
Community Feedback
See what the community thinks about DeepSeek-V4-Flash
“DeepSeek V4 Flash 0731 is the undisputed price-performance leader: ~158,000 requests/month within the $60 limit, intelligence 49.9 and agentic score 45.7.”
“We are making the updated DeepSeek V4-Flash 0731 free in Cline. This is the first flash model we've found performs at SOTA levels for autonomous coding.”
“The 'reasoning effort' setting is brilliant. I use low for tests and max for the actual logic. Saves so much time in daily pipelines.”
“DeepSeek V4 Flash 0731 should probably be the number one contender right now if you are into local AI.”
“Models you can run locally now have the intelligence score of top frontier models from 5 months ago. This is absolutely nuts for open weights.”
“DeepSeek V4 Flash is ~150x cheaper than proprietary options while delivering highly competitive UX and design task outputs.”
Related Videos
Watch tutorials, reviews, and discussions about DeepSeek-V4-Flash
“On the SWE-bench, a respected measure of software engineering capability, the model's score jumped from 7.3 to 54.4.”
“DeepSeek V4 Flash is a Mixture of Experts model with 284 billion total parameters, but only 13 billion active parameters.”
“This active parameter size makes the model realistically feasible to run on local hobbyist hardware with 128GB of unified memory.”
“The post-training updates focus primarily on agentic workflows and automated command execution.”
“For the price point of 14 cents per million input tokens, the performance ratio is unmatched right now.”
“Having at least 384,000 tokens of context size set is recommended, with a maximum context window of 1 million for this model.”
“If you are doing agentic work, you would want to adjust your top P to 0.95 instead of 1.0.”
“It is very thinky and does a lot of double-checking, triple-checking, and quadruple-checking during reasoning.”
“DeepSeek V4 Flash 0731 should probably be the number one contender right now if you are into local AI.”
“Running the quantized version locally requires a minimum of 128GB to 138GB of VRAM or system memory.”
“The gains aren't coming from scaling up the model size, they're coming from post-training focused on improving agentic behavior.”
“On Terminal Bench 2.1, it scores an 82.7, which is an enormous jump from its previous 61.8 preview score.”
“It offers near Luna-level intelligence at roughly 60% lower cost per task, making it one of the best performance per dollar models.”
“The native responses API integration allows developers to process tool output streams without custom formatting.”
“It handles multi-file repository edits with remarkable accuracy given its lightweight active footprint.”
Supercharge your workflow with AI Automation
Automatio combines the power of AI agents, web automation, and smart integrations to help you accomplish more in less time.
Pro Tips
Expert tips to help you get the most out of DeepSeek-V4-Flash and achieve better results.
Calibrate Top-P for Agent Workflows
Set top_p to 0.95 and temperature to 1.0 when deploying the model in coding harnesses to improve tool execution stability.
Set Minimum Context Size for Max Reasoning
Configure a context buffer of at least 384,000 tokens when using max reasoning effort to ensure room for deep chain-of-thought processing.
Utilize Context Caching
Structure repeated system prompts and codebase context to hit API cache layers, reducing input costs from $0.14 down to $0.03 per million tokens.
Use Off-Peak Processing Windows
Schedule bulk API batch jobs during non-peak hours, as API pricing doubles during high-traffic periods.
Testimonials
What Our Users Say
Join thousands of satisfied users who have transformed their workflow
Jonathan Kogan
Co-Founder/CEO, rpatools.io
Automatio is one of the most used for RPA Tools both internally and externally. It saves us countless hours of work and we realized this could do the same for other startups and so we choose Automatio for most of our automation needs.
Mohammed Ibrahim
CEO, qannas.pro
I have used many tools over the past 5 years, Automatio is the Jack of All trades.. !! it could be your scraping bot in the morning and then it becomes your VA by the noon and in the evening it does your automations.. its amazing!
Ben Bressington
CTO, AiChatSolutions
Automatio is fantastic and simple to use to extract data from any website. This allowed me to replace a developer and do tasks myself as they only take a few minutes to setup and forget about it. Automatio is a game changer!
Sarah Chen
Head of Growth, ScaleUp Labs
We've tried dozens of automation tools, but Automatio stands out for its flexibility and ease of use. Our team productivity increased by 40% within the first month of adoption.
David Park
Founder, DataDriven.io
The AI-powered features in Automatio are incredible. It understands context and adapts to changes in websites automatically. No more broken scrapers!
Emily Rodriguez
Marketing Director, GrowthMetrics
Automatio transformed our lead generation process. What used to take our team days now happens automatically in minutes. The ROI is incredible.
Jonathan Kogan
Co-Founder/CEO, rpatools.io
Automatio is one of the most used for RPA Tools both internally and externally. It saves us countless hours of work and we realized this could do the same for other startups and so we choose Automatio for most of our automation needs.
Mohammed Ibrahim
CEO, qannas.pro
I have used many tools over the past 5 years, Automatio is the Jack of All trades.. !! it could be your scraping bot in the morning and then it becomes your VA by the noon and in the evening it does your automations.. its amazing!
Ben Bressington
CTO, AiChatSolutions
Automatio is fantastic and simple to use to extract data from any website. This allowed me to replace a developer and do tasks myself as they only take a few minutes to setup and forget about it. Automatio is a game changer!
Sarah Chen
Head of Growth, ScaleUp Labs
We've tried dozens of automation tools, but Automatio stands out for its flexibility and ease of use. Our team productivity increased by 40% within the first month of adoption.
David Park
Founder, DataDriven.io
The AI-powered features in Automatio are incredible. It understands context and adapts to changes in websites automatically. No more broken scrapers!
Emily Rodriguez
Marketing Director, GrowthMetrics
Automatio transformed our lead generation process. What used to take our team days now happens automatically in minutes. The ROI is incredible.
Related AI Models
MiMo V2.5 Pro
Other
MiMo V2.5 Pro is Xiaomi's open-source 1.02T parameter MoE model featuring a 1M context window, native multimodality, and elite agentic coding performance.
DeepSeek-V3.2-Speciale
DeepSeek
DeepSeek-V3.2-Speciale is a reasoning-first LLM featuring gold-medal math performance, DeepSeek Sparse Attention, and a 131K context window. Rivaling GPT-5...
MiniMax M2.5
minimax
MiniMax M2.5 is a SOTA MoE model featuring a 1M context window and elite agentic coding capabilities at disruptive pricing for autonomous agents.
Gemini 3.6 Flash
Gemini 3.6 Flash is Google's high-speed model featuring a 17% reduction in token consumption, $1.50/M input pricing, and advanced 3D visualization.
GLM-4.7
Zhipu (GLM)
GLM-4.7 by Zhipu AI is a flagship 358B MoE model featuring a 200K context window, elite 73.8% SWE-bench performance, and native Deep Thinking for agentic...
Kimi K2.7 Code
Moonshot
Kimi K2.7 Code is a 1T parameter MoE model from Moonshot AI. It features a 262k context window and 30% more efficient reasoning for software engineering.
Qwen3-Coder-Next
alibaba
Qwen3-Coder-Next is Alibaba Cloud's elite Apache 2.0 coding model, featuring an 80B MoE architecture and 256k context window for advanced local development.
GPT-4o mini
OpenAI
OpenAI's most cost-efficient small model, GPT-4o mini offers multimodal intelligence and high-speed performance at a significantly lower price point.
Frequently Asked Questions
Find answers to common questions about DeepSeek-V4-Flash