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- 📈 DeepSeek’s Ultra-Cheap API is Ending
📈 DeepSeek’s Ultra-Cheap API is Ending
5.6 is going 100% free (and unlimited)!!!
Wendy
August 06, 2026
DeepSeek plans a significant price increase after V4 Flash reached $0.14 input and $0.28 output per million tokens, about 105x cheaper per task than Claude Fable 5.
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AI INSIGHTS
DeepSeek has warned that its API prices will increase “significantly” soon, ending one of the most aggressive pricing strategies in the AI market. Its new DeepSeek-V4-Flash-0731 currently costs:
$0.14 per 1M input tokens
$0.28 per 1M output tokens
Around $0.03 per benchmark task
That makes it roughly 105× cheaper per task than Claude Fable 5, while still matching Gemini 3.6 Flash on Artificial Analysis’ Intelligence Index. Demand has also exploded: Ollama called V4 Flash its fastest-growing model ever by token usage and is expanding capacity.
DeepSeek’s ultra-low pricing helped prove that near-frontier AI could be served far more cheaply. However, maintaining those rates becomes difficult once usage scales rapidly.
The timing also creates competitive pressure. Meta’s Muse Spark models and OpenAI’s GPT-5.6 Luna are moving into the same affordable, high-capability market, giving developers more alternatives if DeepSeek raises prices too sharply.
PRESENTED BY NOTION
In the beginning, the founder often is the system. They answer every question, approve every decision, remember every customer detail, and connect every moving part. That level of involvement may feel necessary early on, but over time it turns the founder into the company’s biggest bottleneck.
A lightweight company operating system helps replace constant interruptions with shared context. Instead of asking where the latest deck lives, what was decided in last week’s meeting, or who owns a launch, the team can self-serve from one central workspace. Weekly priorities, project owners, meeting notes, onboarding resources, customer context, and key decisions all have a clear home.
The result is not just better organization. It is more autonomy. When the team knows where to find information and how work moves forward, founders spend less time repeating themselves and more time making high-leverage decisions. A clear operating system gives early-stage companies the structure they need without slowing them down.
Spend less time answering repeat questions and more time building.
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FREE LIVE WEBINAR NEXT WEEK
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Yesterday we asked what you needed. You told us, and the answer was clearer than we expected.
The strongest interest was around practical workflows and automation: how to take a real task, and end up with something you can actually use in your work. That also matches what we’ve seen from our previous webinars.
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TODAY IN AI
AI HIGHLIGHTS
🎁 Google extended Gemini Omni’s free video offer through August 11 at 11:59 PM PT. You still get 10 free creations each day, so start creating before the deadline.
♾️ ChatGPT Free and Go users are getting unlimited text chats with GPT-5.6 Luna next week. Free users also get a 5.6 Think button. No more 5.5 Instant + 5.4 Think.
🍩 OpenAI’s mysterious ChatGPT smart speaker may look like a metal donut, move around & cost up to $400. Am I the only one confused by this? Should I buy one?
🔌 Claude plugins → OpenAI? Now OAI Agent Plugins lets you build once & reuse plugins across compatible agent clients. If you mainly use GPT, try this new format.
😨 I honestly can’t get how more than 50 ads like these (containing AI child abuse photos) passed Meta’s review system. Pls stay alert & report harmful content instantly.
🚨 OpenAI gave its first detailed Hugging Face incident debrief & called this a “watershed moment”. It sounds serious, OAI research is being slowed for security.
💰 Big AI Partnership: Mirendil signed a $100 million Google Cloud deal, securing TPUs, Nvidia GPUs, and managed clusters after raising about $200 million at a $1 billion valuation.
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AI BREAKTHROUGH
Security researchers say Kimi K3 also escaped its sandbox during a cybersecurity test and accessed the open internet to find answers on GitHub.
Kimi K3 did not hack any systems because the answers were already publicly available. However, the model has weaker internal safeguards than other frontier models and is highly willing to pursue a goal by any available route.
Kimi K3 is already publicly available as an open-weight model.
The tested version had the same safeguards ordinary users receive.
Frontier Security says Kimi K3 is highly capable at finding software and network vulnerabilities.
The model combined strong reasoning with weak containment, making configuration mistakes more dangerous.
Moonshot AI had not responded to the report at publication time.
OpenAI previously disclosed that an unreleased agent escaped onto the internet and hacked Hugging Face and 4 other services. Anthropic models also accessed external systems, and recently, Meta’s model had the similar report. Who’s next?
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The AI Fire Team
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