deepseek

🚨 DEEPSEEK FLASH WAS TOO CHEAP. THEN REALITY SENT THE BILL. 💀

DeepSeek V4 Flash previously increased its usage on OpenCode from about 3T → 18T tokens/day in just around two weeks, nearly 6x.

Then on August 16:
💰 DeepSeek increased prices.
V4 Flash output went from $0.28 → $0.66/M tokens outside peak, and to $1.32/M tokens during peak hours.

Results reported from OpenCode data:
→ Token usage fell by more than 50% from the peak
→ About 10T tokens/day “disappeared”
→ OpenCode is said to require around 1,000 B300 GPUs to meet current demand

It’s a very simple equation:
Cheap + Powerful + Massive Scale
Pick 2.

AI users:
“Make AI cheaper.”
GPUs:
“Absolutely not.” 💀

DeepSeek Flash just showed the market a bigger problem:
AI inference isn’t just a battle of models.

It’s a battle of compute economics.

If demand keeps rising but GPUs aren’t enough, the question isn’t:
“Which model is the best?”

It becomes:
“Does AI have enough compute to run it at massive scale?”

Do you think AI is entering an era of compute shortages, or will GPU/cloud companies quickly bring inference costs back down? 👀

#BrainrotCrypto #DeepSeek

🤖 DEEPSEEK-V4-FLASH IS BASICALLY SAYING: “$0, COME BUILD.” 💀

B.AI continues to expand its unlimited free DeepSeek-V4-Flash program, letting users experience the model on both the Web and API for $0.

Notable points:
→ DeepSeek-V4-Flash: free
→ Free expansion for both Web + API
→ Smart routing to optimize cost + performance
→ Supports long context up to the level of millions of tokens
→ Optimized for Agent workflows and heavy workloads
→ Payment integration for both Web2 + Web3
→ Aiming for infrastructure for AI Agents / AGI

B.AI is playing a pretty obvious game:

AI infrastructure + smart routing + crypto payments + agent economy.

Developer:
“How much is this API?”
B.AI:
“$0.”
Developer:
“Okay, so how do you make money?” 💀

But this is the part that’s worth watching.

If free access attracts developers into the ecosystem, the long-term advantage may not be in selling individual API calls—it may be in the routing infrastructure, model marketplace, agent deployment, and the payment rails behind it.

AI is moving from:
“Chat with a model”
to:
“Build an agent that actually does shit.” 💀

Do you think the free-AI strategy → pulling developers → monetizing infrastructure can scale, or is this just the next round of AI burning money?

#DeepSeek #DigitalSchizophrenia

🦈 $DEEPSEEK ROUTING MYSTERY — THREE HIDDEN MODELS OR ONE RL-CALIBRATED ENGINE? 🧠

📊 The AI community cracked a 30-point performance gap across the same V4-Pro API — but the variable isn't the model weights. 📌 The Aug 10 Harness commit reveals the real edge: aligning the Minimal Agent with RL training distribution unlocks the highest scores. 💡 That's structural insight, not hocus-pocus.

🔍 Same brain, different environment. DSH Minimal hits 99/96 versus Standard's 91 — because the model performs best inside the exact scaffolding it was optimized against. The "God Mode" isn't a bigger model, it's a closer fit to the training envelope. ⚡ The Anchored Standard hack proves it: reset the initial tool schema, restore full tools after — 98/99 repeatedly.

Official docs deny multi-model routing. So the edge lives in context, not weights. 💬 Is the market pricing the AI "liquidity" rumor as alpha, or just chasing confirmation bias? 👇

⚠️ Not financial advice. Always manage your risk. 🛡️

🏷️ #DEEPSEEK #AI #SmartMoney #Analysis #Crypto

🔥 💎

#deepseeklaunchesharnesscodeagentbeta
🚨 DEEPSEEK’S NEW AI CODING AGENT EXPLODES! 🤖
DeepSeek launched Harness v0.1, an open-source AI coding-agent framework, and its GitHub repo crossed 33K+ stars within hours.
🧠 Built around the new DeepSeek-V4-Pro, Harness uses a modular plugin-based design and is released under the MIT license, aiming to compete with tools like Claude Code and Qwen Code.

🎯 TRADING VIEW: BUY 📈
Strong developer adoption could boost the AI ecosystem and related sentiment, but watch whether the early hype translates into sustained usage.

❓ Is DeepSeek becoming a serious threat to existing AI coding agents? "CLICK ON THE BELOW YELLOW COIN TAG TO GO TO DESIRED TRADING PAGE TO GET BENEFIT TRADE"$TUT $AKE $EDEN
#DeepSeek #AICoding

DeepSeek finally isn’t just racing to build better models: What Harness really wants to steal is the “AI work entry point”
On August 13, DeepSeek Harness opened a developer preview and released its source code. The name sounds very technical—one-sentence translation: previously, DeepSeek mainly focused on “using its brain,” while Harness starts taking responsibility for equipping AI with hands and feet and a toolbox.
It can combine capabilities such as models, tools, skills, sandboxes, storage, and task orchestration. In other words, AI is no longer just answering “how to write code,” but is beginning to move toward “reading files, calling tools, executing tasks, and completing workflows” on its own.
That’s more worth watching than simply re-ranking model leaderboards again.
In the past, AI companies competed over: whose model is smarter.
Now, Claude Code, Codex, and DeepSeek Harness are competing in a way that’s increasingly like: who can truly take over the user’s workflow.
This is also why I’m paying more and more attention to agents. Model capability is of course important, but once everyone can ultimately reach an 80–90 score, the real differentiator may become: who can call more tools, connect more data, complete longer tasks, and make fewer mistakes.
The next round of AI competition might not be “who can chat best,” but who can actually do the work for you.
#DeepSeek #AI #deepseek推出harness代码智能体公测

​#deepseeklaunchesharnesscodeagentbeta
​🚀 The Real Catalyst: Decoding DeepSeek’s Open-Source Harness

​The market is focused on model drops, but DeepSeek just pulled off a masterstroke by open-sourcing their infrastructure.

​The launch of DeepSeek Harness (dsh v0.1) (MIT-licensed) is a massive leap forward for decentralized AI development. Here is the technical breakdown of why this matters:

​1️⃣ 100% Plugin Architecture

There are no rigid structures here. From the UI to the sandboxes and agent loops, every single component is an independent plugin.

2️⃣ Frictionless Workflow Integration

Need a specific operational flow? You can instantly compose and swap environments (like mimicking Claude Code) using Cordis, requiring absolutely zero source code modifications.

3️⃣ Flawless Traceability

Debugging complex agents just became effortless. The system utilizes append-only logs, allowing you to fork, resume, or perfectly replay previous sessions.

​DeepSeek didn't just give us a new brain (V4-Pro); they gave us the entire nervous system (the Harness). The competition has officially shifted from model capabilities to runtime execution. 🌐🔥

#DeepSeek #AIAgents #CryptoNews

$FET
$TAO
$NEAR

#DeepSeekLaunchesHarnessCodeAgentBeta
💻 DeepSeek Harness — an agent-builder assembled like Lego!
On August 13, DeepSeek released Harness v0.1 to the public beta as open-source (MIT). This isn’t just another Claude Code—it's an agent framework where everything is a plugin: models, tools, and the interface. Already, there are 300+ plugins available. It competes with OpenAI Codex and Anthropic Claude Code. It works with the formula Model + Harness = Agent.
Along with the launch, DeepSeek introduced peak pricing for its API—starting August 17, prices will be half during off-peak hours.

🔥 Do you think Harness will become the main tool for developers, or will Codex take the lead? Write in the comments! 👇

#DeepSeek #AI #Trade 👇

🚀 DeepSeek V4 Pro Officially Released: API Price Increases by 50%, AI Agent Framework Ignites the Developer Community!

Another major breakthrough from China’s large-scale models! DeepSeek has announced that its V4 Pro model will go live on August 17, with API pricing raised by 50% to $1,100.

🔥 The accompanying Harness v0.1 Agent product quickly racked up over 22,000 GitHub Stars, showcasing the formidable dominance of homegrown models in the developer community.

New infrastructure for AI + Web3—worth tracking for the long term!

#DeepSeek #人工智能 #大模型 #Web3AI

DEEPSEEK JUST FLIPPED THE AI RACE — FIRST AGENT PRODUCT, 22K STARS IN 90 MINUTES ⚡🤖

The battle lines have redrawn. DeepSeek isn't just shipping models anymore — they shipped an entire Agent framework. The moment Harness hit the open-source wild, GitHub exploded: 22,000 stars in 1.5 hours. That pace buried the old records set by Grok-1 and DeepSeek-R1. This wasn't a release. It was a sweep of the liquidity pool.

The momentum story here is the repricing. DeepSeek chopped Pro high-output pricing by 4.5x, and analysts now whisper the peak Flash rate has overtaken GPT-5.6 Luna. The low-price discount narrative just got reevaluated — that's a sentiment shift, and sentiment shifts front-run everything. Buyers are bidding the agent infrastructure play, not just the model.

The real alpha? "Everything is a plugin." Models, tools, context, even the interface — swappable, composable, engineered for recursive self-improvement. The market's pivot from raw model muscle to Agent runtime is the new order flow. Are you positioned for the narrative flip, or still trading last cycle's headline? 💭

⚠️ Not financial advice. Always manage your risk. 🛡️

🏷️ #DeepSeek #AI #AgentEra #CryptoNarrative #TechMomentum

🌐🔥

DeepSeek V4 Pro has been officially released. The app, web, and API have all been fully updated in sync. To try the new model, open the app or switch to the “Expert Mode” on the web version—you can use it directly. The API model name remains unchanged.

This time, the API pricing mechanism change is especially worth noting. DeepSeek has introduced peak/off-peak pricing for the first time: during peak hours (Beijing time 9:00–12:00 and 14:00–18:00), charges apply at the standard rate; during off-peak hours, the price is cut in half—effectively giving a 50% discount for non-peak usage scenarios. The new pricing takes effect at 0:00 on August 17, 2026.

For users running quant trading or batch jobs, calling at off-peak times can save a substantial amount of cost. For individual developers, running inference tasks in the evening and early morning offers noticeably better cost-effectiveness.

Interestingly, the release notification for DeepSeek-V4-Pro-0813 had previously been withdrawn, and the silent rollout was pulled down in under 24 hours. Now it has been re-released under the name “official version.” Whether this move was driven by technical issues or a strategy adjustment is worth watching.

#DeepSeek #AI #API

DeepSeek V4 Pro’s official release has been synced and launched on the app, the web, and the API. Users can choose “Expert Mode” on the app or web to try the new model, while the API model name remains unchanged.

It’s worth noting that API pricing will be adjusted to a peak-and-off-peak pricing mechanism: the off-peak price will be half of the peak-hour price. Peak hours are 9:00–12:00 and 14:00–18:00 (Beijing time); all other times are considered off-peak. The new prices will take effect at 0:00 on August 17, 2026 (Beijing time).

This round of actions has been repeatedly bouncing between a “silent launch—withdrawal—official rollout.” Less than 24 hours after the silent launch late on August 12, the related announcement was withdrawn. As of now, the official API documentation still shows DeepSeek-V4-Pro-0813, which is rather dramatic.

For developers, peak-and-off-peak pricing is good news—if you schedule calls reasonably, off-peak costs are immediately cut to half. Scenarios like long-running batch jobs and offline inference can save a lot of money.

#DeepSeek #AI #API pricing adjustment

DeepSeek V4 Pro official release is now available on the app, web, and via API. Users can experience it in “Expert Mode.”

This time there’s also a key change: API pricing has switched to a peak-and-off-peak model. During peak hours (Beijing time 9:00–12:00 and 14:00–18:00), charges remain at the original rate. During off-peak hours, the price is cut to half (50%), with the new pricing taking effect at 0:00 on August 17. For developers and teams that run heavy workloads at night—such as for quant scripts and scheduled tasks—this is basically like the official has handed out a “night-session half-price coupon.” You can focus on off-peak hours and coordinate inference requests to lower your overall costs.

It’s also worth mentioning that the earlier notification for the DeepSeek-V4-Pro-0813 version was withdrawn within less than 24 hours after its release. However, related entries are still visible in the API documentation. This official launch of the full version also serves as a formal wrap-up to the earlier confusion.

From an industry perspective, the “price + time-slot” pricing strategy on the API side reflects how domestic large models are using more granular pricing to win developers’ mindshare and capture a larger share of compute-scheduling capacity. For individual users, Expert Mode is an upgrade in experience. For B2B users, it’s an opportunity to revisit and optimize costs.

#AI #DeepSeek #大模型

DeepSeek V4 Pro has officially been released on the app, web platform, and API. Users can experience the new model by enabling “Expert Mode.” It’s also worth noting that the official announcement states that the API will adopt peak-and-off-peak pricing: during peak hours (Beijing time 9:00–12:00, 14:00–18:00), billing will be at the standard rate; during off-peak hours, it will be charged at half price. The new pricing will take effect at 0:00 on August 17, 2026.

Looking back at this release, the process has been quite convoluted. On the evening of August 12, DeepSeek-V4-Pro-0813 was quietly rolled out on the official website and open platform. However, within less than 24 hours, the related release notices and announcements were withdrawn. Even today, the version number still lingers in the API documentation. In a single day, it went from “quietly上线” to “official correction,” underscoring the weight of this version upgrade.

The peak-and-off-peak pricing mechanism is clearly meaningful for developers’ cost optimization. AI inference applications are sensitive to compute expenses. By scheduling non-real-time tasks such as inference, training, and data processing to off-peak hours, theory suggests API costs can be reduced by as much as 50%. For small and medium teams and individual developers, this effectively provides a “use-a-different-time-slot” money-saving option without sacrificing model capability.

From an industry perspective, DeepSeek’s choice of peak-and-off-peak pricing is both a pricing strategy and a user-guidance strategy—redirecting non-critical workloads to off-peak hours can improve GPU utilization while also increasing user stickiness.

#DeepSeek#AI大模型#API定价

DeepSeek V4 Pro Official Release Now Live—The app, web, and API are updated simultaneously, and users can experience it directly in “Expert Mode.”

Another major highlight of this update is the change to the API pricing mechanism. Officially, DeepSeek will introduce peak-and-valley pricing for the first time: peak hours are 9:00–12:00 and 14:00–18:00 (Beijing time). The remaining hours are considered off-peak, during which prices are only 50% of peak-hour rates. The new pricing will take effect at 0:00 on August 17, 2026.

Previously, the DeepSeek website and open platform briefly pulled back the release notice for DeepSeek-V4-Pro-0813; the notice was withdrawn less than 24 hours after being issued and the model was taken down, which led to market speculation. Now that the official version has returned, it suggests that internal timing has been fully adjusted.

Peak-and-valley pricing is more friendly to small and medium developers and long-tail applications, significantly lowering costs in scenarios like running batch inferences at night and offline tasks. Worth noting is that the API model name remains unchanged, meaning existing integrations do not need to reconnect, and the migration cost is extremely low.

#AI #DeepSeek #大模型

Recently, DeepSeek founder Liang Wenfeng increased within one year by an astonishing 3,850%, topping the global billionaire growth leaderboard. Topping the global billionaire growth leaderboard.
If someone precisely bought SanDisk (SNDK) on August 15, 2025, then by 2026, at most, that person's wealth could grow by 5,400%, even more aggressively than Liang Wenfeng.
What does this show? #投资 #闪迪SNDK #DeepSeek #富豪榜

$DEEPSEEK KILLS THE $0.14 ERA — $50B INFRASTRUCTURE WAR JUST ESCALATED 💥⚡

DeepSeek just fired a warning shot: "significant" API price increases are coming, with zero specifics on the numbers. The silence is the signal. 📊 After pumping 7.22 trillion tokens in a week — and 8 trillion in a single day on OpenCode — the ultra-cheap party was never sustainable.

The math is brutal: V4 Flash charges $0.14 per million input tokens while Anthropic charges $10. Building a 1GW data center at an estimated $50B doesn't fund itself at giveaway rates. 💡 This is the same inflection point miners hit — when demand explodes, discounts die.

The real question: does this finally give AI tokens a genuine revenue story, or just another narrative? 💬👇

⚠️ Not financial advice. Always manage your risk. 🛡️

🏷️ #DEEPSEEK #AI #Infrastructure #Bullish #Crypto

⚡ 🦈

🚨 $DEEPSEEK ENDS THE ULTRA-CHEAP AI ERA — INFRASTRUCTURE BILLS CATCH UP 💥

📊 DeepSeek just signaled the end of its disruptive pricing strategy. The company that charged $0.14 per million input tokens — a fraction of Western competitors — now warns of "significant increases" across its entire API suite. This isn't a tweak; it's a structural shift.

💡 The timing is everything: record traffic (7.22 trillion tokens in one week) met the reality of massive infrastructure costs. Jensen Huang pegs similar-scale compute at ~$50B. When the price leader raises rates, the whole sector follows. 🔍 Smart money is already reading the ripple effects across AI-linked assets.

💬 Will AI-linked crypto assets absorb this as a utility-demand signal or buckle under cost pressure? 👇

⚠️ Not financial advice. Always manage your risk. 🛡️

🏷️ #DeepSeek #AISector #Crypto #MarketStructure #CostShift

🔥 💎

🚨💰 DEEPSEEK LEASHED! RESUMES COLOSSAL $8 BILLION FUNDRAISING 🤖🔥
The Fact:
AI startup DeepSeek is back on track, officially resuming its massive $8 billion funding round after a brief pause last month. This move pushes the company’s valuation to a staggering $74 billion, drawing active talks from high-profile venture capitals like Monolith Management, who are eager to join the round.
Strategic Perspective:
The destination for this huge capital injection is crystal clear: physical infrastructure. DeepSeek plans to deploy the capital directly into building next-generation, high-capacity data centers. This proves that the global AI race is no longer just about software optimization, but rather about who controls the raw compute power and the infrastructure required to deliver affordable, high-performing AI models.
What's Your Play?
With DeepSeek accelerating its growth and reaching such a massive valuation, do you think it will successfully challenge the market dominance of giants like OpenAI and Google? Drop your thoughts below! 👇⚔️
$FET $RENDER $TAO
#BinanceSquare #DeepSeek #artificialintelligence #TechFunding #DataCentersForAI

#DeepSeekResumes$8BFundingRound
🤖💰 DEEPSEEK FUNDING IS BACK!
DeepSeek has reportedly restarted its $8B funding round after previously pausing amid leaks and speculation. The company is also reportedly planning major data-center expansion while raising prices for some users.
🔥 Why Traders Should Care:
AI funding + infrastructure spending are heating up again, potentially boosting attention toward AI-related stocks and crypto tokens.
🎯 TRADING VIEW: BUY 📈
AI infrastructure remains a strong narrative, but avoid chasing sudden pumps. Follow the capital flows, funding, and infrastructure growth.
❓ Will AI tokens benefit from the next funding wave? "CLICK ON THE BELOW YELLOW COIN TAG TO GO TO DESIRED TRADING PAGE TO GET BENEFIT TRADE"$OPEN $OPG
#DeepSeek #AI

DeepSeek announcement: plans to raise API pricing overall in the near term, with an expected increase that will be relatively significant.

"The golden age is over"—but a 70% rise is still cheaper than what others charge.

DeepSeek’s price increase indicates two things:
1. AI inference costs are bottoming out, and the era of free lunches is ending
2. The pricing power of domestic large-scale models is strengthening

For users, it means higher costs; for the industry, it means moving toward maturity.

$BTC
#AI #DeepSeek #Large model

Trading outlook: I won’t trade directly, but the AI cost curve bottoming out is a positive signal for the compute-power sector.