- TheTip.AI - AI for Business Newsletter
- Posts
- DeepSeek V4 undercuts every frontier model on price
DeepSeek V4 undercuts every frontier model on price
Could V4 Pro replace your cloud AI dependency?

Hi ,
DeepSeek just dropped their biggest model yet.
V4 Pro has 1.6 trillion parameters. Biggest open-weight model available anywhere.
Outperforms GPT-5.2 and Gemini 3.0 Pro on some tasks. Comparable to GPT-5.4 on coding benchmarks.
And it costs less than every frontier model on the market right now.
Today's prompt turns your newsletter into a sponsor magnet. Marketing Monday covers the copywriting technique that closes arguments before you even make them. Then the full breakdown on what DeepSeek just shipped.
π₯ Prompt of the Day π₯
Newsletter Sponsorship Pitch Deck: Use ChatGPT or Claude
Create one advertiser-attracting media kit.
"Act as a newsletter monetization specialist. Create one sponsorship pitch framework for [NEWSLETTER] that attracts premium advertisers.
Essential Details:
Subscriber Count: [LIST SIZE]
Open Rate: [ENGAGEMENT %]
Niche Focus: [AUDIENCE TYPE]
Audience Demographics: [READER PROFILE]
Ad Slot Types: [PLACEMENT OPTIONS]
Pricing Strategy: [CPM/FLAT]
Create one pitch deck including:
Audience insights page
Engagement proof metrics
Past sponsor results
Ad placement options
Pricing tier breakdown
Booking process outline
Turn subscribers into sponsor revenue."
Variables:
NEWSLETTER: What your newsletter is called and covers
LIST SIZE: How many subscribers you have
ENGAGEMENT %: Your open and click rates
AUDIENCE TYPE: What niche or industry you serve
READER PROFILE: Who your audience is β role, income, interests
PRICING STRATEGY: How you want to charge sponsors
Why This Works:
Advertisers don't buy reach. They buy proof. AI builds the pitch deck that leads with the metrics that matter β open rates, audience demographics, past results. Structures your ad slots clearly. Prices them strategically. Makes the booking process frictionless. A professional media kit closes sponsors faster than any cold email ever will.
π‘ Marketing Monday π‘
Contrast Copy
Before-and-after is not just for transformation photos.
It's the sharpest persuasion tool in copywriting. And most businesses barely use it.
Why Contrast Works
The human brain doesn't evaluate things in isolation.
It compares. Before versus after. Pain versus relief. Where they are versus where they want to be.
Contrast makes the gap visible. And when the gap is visible, the decision gets easier.
The Problem With Most Copy
Most businesses lead with benefits.
"Get more leads." "Save time." "Grow faster."
These are adjectives. They don't land because they don't connect to anything real.
Benefits tell people what they get. Contrast shows them what they're escaping.
Nobody wants the before. Sell the distance between.
How To Write Contrast Copy
Open with the before state in visceral detail.
Not "managing your inbox is frustrating." More like "You open your laptop Monday morning to 247 unread emails, three missed deadlines buried in threads, and a calendar that somehow got double-booked again."
That's a before state people feel. They recognize it. They don't want to be there anymore.
Then paint the after with specifics, not adjectives.
Not "feel organized and in control." More like "Your inbox clears in 20 minutes. Every follow-up sends itself. You close your laptop at 4pm with nothing outstanding."
Specifics create pictures. Pictures create desire.
Let The Contrast Close The Argument
You don't need a hard sell when the contrast is sharp enough.
The before state makes them uncomfortable. The after state makes them want it. The gap between the two does the persuasion for you.
By the time you make the offer, they've already decided.
How To Test It
Run two versions of your next email.
Version A leads with benefits. "Here's what you get with X."
Version B leads with contrast. Open with the before. Paint the after. Let the gap close the argument.
Track which one gets more replies. More clicks. More conversions.
In most markets contrast wins. But your audience will tell you for certain.
What To Do
Pick one email, ad, or landing page you're running right now.
Rewrite the opening using a visceral before state your audience recognizes.
Follow it with a specific after state they actually want.
Let the distance between the two do the work.
Contrast copy doesn't just persuade. It makes people feel understood before you ask for anything.
Did You Know?
AI has reduced the time needed to design new battery chemistries from years of lab experimentation to weeks of computational screening β accelerating the search for cheaper, safer, longer-lasting batteries for electric vehicles and grid-scale energy storage.
ποΈ Breaking AI News ποΈ
DeepSeek Launches V4 β Biggest Open-Weight Model Ever Built
DeepSeek just shipped their most ambitious release yet.
Two models. Both previews. Both available now.
DeepSeek V4 Flash and V4 Pro. Mixture-of-experts architecture. One million token context windows on both.
And priced below every frontier model on the market.
The Numbers
V4 Pro β 1.6 trillion total parameters. 49 billion active. Biggest open-weight model available anywhere. More than double DeepSeek V3.2.
V4 Flash β 284 billion total parameters. 13 billion active. Built for speed and cost efficiency.
Both models beat Moonshot AI's Kimi K 2.6, MiniMax's M1, and every other open-weight competitor on scale.
How They Perform
V4 Pro outperforms open-source peers across reasoning benchmarks.
Beats OpenAI's GPT-5.2 and Gemini 3.0 Pro on some tasks.
Coding performance on both V4 models is comparable to GPT-5.4.
Where they fall short β knowledge tests against GPT-5.4 and Gemini 3.1 Pro. DeepSeek estimates they trail state-of-the-art frontier models by approximately three to six months.
The Pricing
This is where it gets interesting.
V4 Flash β $0.14 per million input tokens. $0.28 per million output tokens. Undercuts GPT-5.4 Nano, Gemini 3.1 Flash, GPT-5.4 Mini, and Claude Haiku 4.5.
V4 Pro β $0.145 per million input tokens. $3.48 per million output tokens. Undercuts Gemini 3.1 Pro, GPT-5.5, Claude Opus 4.7, and GPT-5.4.
Frontier-level performance. Open-weight. Cheaper than everything.
One Limitation Worth Noting
Both V4 models support text only.
No audio. No video. No image understanding or generation.
Most closed-source competitors now offer multimodal capabilities as standard. This is a meaningful gap for teams that need visual workflows.
The Context Around The Launch
The release comes one day after the U.S. accused China of stealing American AI labs' intellectual property at industrial scale using thousands of proxy accounts.
DeepSeek itself has been accused by Anthropic and OpenAI of distilling β essentially copying β their models.
DeepSeek has not publicly responded to those accusations.
Why This Matters
DeepSeek keeps doing the same thing and it keeps working.
Ship a model that performs close to frontier. Price it below everyone. Release the weights openly.
V4 Pro being the largest open-weight model ever built changes what developers can run locally and what enterprises can self-host without cloud dependency.
For developers: Near-frontier reasoning at a fraction of the API cost. Open weights means full control.
For businesses watching AI spend: V4 Pro undercutting Claude Opus 4.7 and GPT-5.5 on price while closing the performance gap is a real procurement consideration.
For the AI market: Every time DeepSeek ships, it forces a conversation about whether frontier pricing is justified. This release is no different.
What To Do With This
The V4 models are in preview now. Worth benchmarking against your current stack before the full release.
If cost is a constraint on your current AI usage, V4 Flash pricing in particular is worth running against your use cases.
If you self-host or want to β V4 Pro being open-weight at 1.6 trillion parameters is a significant development for on-premise deployment.
DeepSeek just reminded everyone that the frontier is not just an American story.
Over to You...
Open weights. Trillion parameter scale. Priced below the competition. DeepSeek just raised the bar again.
Hit reply - what's your first use case?
To building smarter for less,
Jeff J. Hunter
Founder, AI Persona Method | TheTip.ai
P.S. Want to turn AI Agents into a consulting offer? Book your AI Certified Consultant strategy π here.
![]() | Β» NEW: Join the AI Money Group Β« π Zero to Product Masterclass - Watch us build a sellable AI product LIVE, then do it yourself π Monthly Group Calls - Live training, Q&A, and strategy sessions with Jeff |
Sent to: {{email}} Jeff J Hunter, 3220 W Monte Vista Ave #105, Turlock, Don't want future emails? |

Reply