DeepSeek V4 Preview released: 1M context + extremely low price, the Flash version output is only $0.28/ million tokens
DeepSeek released DeepSeek V4 Preview on April 24, bringing two models: deepseek-v4-flash and deepseek-v4-pro. The Flash version outputs only $0.28/ million tokens, and the Pro version outputs $0.87/ million tokens. Both support 1M context window and 384K maximum output. This means a huge cost revolution for AI automated workflows and content production.
Core conclusion
On April 24, 2026, DeepSeek officially released the V4 Preview version, bringing two new models: deepseek-v4-flash and deepseek-v4-pro. There are three major highlights in this release:
- 1M token context window — can handle the entire volume of the "Three-Body Problem" trilogy at one time
- 384K maximum output — Amazing long text generation capabilities
- The price is ridiculously low — The output of the Flash version is only $0.28/ million tokens, less than 1/50 of GPT-4o
For teams doing AI automation, content production, and agent workflows, this may be one of the most noteworthy big model releases in 2026.
Key Points
- Release time: 2026-04-24 -Affected objects: AI automated assembly lines, content production teams, Agent developers
- Core changes: 1M ultra-long context + extremely low API pricing, bringing AI call costs into the "cabbage price" era
Background and release details
DeepSeek V4 Preview replaces the previous V3 series and becomes the current main model on the DeepSeek API. According to official documentation, the V4 series contains two versions:
- deepseek-v4-flash: lightweight and high-speed version, focusing on cost-effectiveness
- deepseek-v4-pro: flagship performance version, stronger reasoning
Both use the OpenAI compatible format API (https://api.deepseek.com) and also support the Anthropic format API (https://api.deepseek.com/anthropic). Developers can migrate without additional adaptation.
Supports Thinking Mode (enabled by default) and non-Thinking mode switching. Full-featured support for JSON Output, Tool Calls, etc. is also retained.
Pricing Comparison: Flash vs Pro
This is the most explosive part of this release. The pricing of DeepSeek V4 is almost the lowest among current mainstream APIs.
| Dimensions | deepseek-v4-flash | deepseek-v4-pro | Compare GPT-4o |
|---|---|---|---|
| context window | 1M tokens | 1M tokens | 128K |
| Maximum output | 384K tokens | 384K tokens | 16K |
| Input (cache hit) | $0.0028/1M | $0.003625/1M | ~$2.50/1M |
| Input (cache miss) | $0.14/1M | $0.435/1M | ~$2.50/1M |
| Output | $0.28/1M | $0.87/1M | ~$10.00/1M |
| Thinking Mode | ✅ Enabled by default | ✅ Enabled by default | ❌ |
| JSON output | ✅ | ✅ | ✅ |
Core conclusion: The output price of the Flash version is only $0.28/ million tokens, which is about 97% cheaper than GPT-4o. The Pro version costs $0.87/ million tokens, which is also more than 90% cheaper than similar flagship models.
What it means for AI automated workflows
This significant price reduction will directly benefit the following scenarios:
1. Mass content production
Previously, if I used GPT-4o or Claude to generate content worth 1 million tokens, the API cost alone would be $10-$20. Now using DeepSeek V4 Flash, only $0.28 is used, and the cost is reduced by 97%.
Want to learn how? Watch: DeepSeek V4 vs Claude Code: 90% Cheaper, Same Quality
2. Ultra-long document processing
1M context means that you can directly throw the entire e-book, the entire code base, and the entire log into it at once, without the need for sharding or RAG.
3. AI Agent workflow
Agent needs to frequently call LLM to make decisions, and each call has a token cost. DeepSeek V4 brings the agent’s marginal cost close to zero.
Real case: Indie Developer: n8n + OpenClaw Automation Workflow Earning $5,000/mo
4. 384K output
The output of most models is limited to 8K-16K tokens, while the V4 series allows 384K tokens to be generated at once.
Adaptation suggestions
Things to do immediately
- Add DeepSeek V4 Flash to existing API calls as a low-cost alternative (OpenAI format compatible, no code changes required)
- Switch scenarios that require 1M context (full document analysis, annual report summary) to V4 Pro
- Test the performance of Thinking Mode on reasoning tasks. If it is better than the current solution, switch it
Be aware of risks
- V4 Preview is still a preview version and is not as stable as the GA version
- Transaction consistency in long context scenarios needs to be tested
- Some advanced features (such as FIM Completion) are only available in non-Thinking mode
Example: Toggle API call
import openai
client = openai.OpenAI(
base_url="https://api.deepseek.com", #
api_key="your-deepseek-key"
)
response = client.chat.completions.create(
model="deepseek-v4-flash",
messages=[
{"role": "system", "content": ""},
{"role": "user", "content": ""}
],
max_tokens=10000
)
print(response.choices[0].message.content)AI DeepSeek、ChatGPT、OpenAI、Claude、GPT-4o、n8n、OpenClaw、Claude Code.
Internal link guidance
Topic hub
AI Coding Tools Hub (2026)
From Copilot pricing changes to Claude Code + DeepSeek cost-saving setups—one place to compare tools, read explainers, and follow tutorials.
Explore AI Coding Tools Hub (2026) →Monetization angle
How can you make money from this trend?
WayToClawEarn focuses on verified earn playbooks—not just news. Start from these cases.
DeepSeek + Claude Code Micro SaaS
Run multiple small products on cheap inference
Claude Code bug bounty
Productize agent skills into security services