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GPT-5.6 costs $2.47. DeepSeek costs $0.05. Same output quality, 50x cheaper, and how DeepSeek pulls off that pricing is genuinely wild.

0xMarioNawfal

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63,203 views • 28 days ago •via X (Twitter)

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The AI price war is ON. > DeepSeek just dropped V4 Flash 0731 (big capability jump, $0.28/M output) > OpenAI cut GPT-5.6 Luna by 80% to $1.20/M (OpenRouter is currently offering 50% off, bringing it to $0.60/M) Same budget tier now, so I ran both through 3 canvas tests: 🧊 Rubik's cube: DeepSeek nails every rotation. Luna's turns are buggy, stickers fly off mid-move. 🎆 Fireworks: both fine, but Luna lags hard when the burst explodes. 🖊️ Pen writing "Hello": neither is legible. DeepSeek's cursive is looser, but Luna gave up on animating, it rendered a static image. GPT-5.6 is great at coding — but IMO only on Sol. In the same pricing tier, DeepSeek clearly beats Luna.

The AI price war is ON. > DeepSeek just dropped V4 Flash 0731 (big capability jump, $0.28/M output) > OpenAI cut GPT-5.6 Luna by 80% to $1.20/M (OpenRouter is currently offering 50% off, bringing it to $0.60/M) Same budget tier now, so I ran both through 3 canvas tests: 🧊 Rubik's cube: DeepSeek nails every rotation. Luna's turns are buggy, stickers fly off mid-move. 🎆 Fireworks: both fine, but Luna lags hard when the burst explodes. 🖊️ Pen writing "Hello": neither is legible. DeepSeek's cursive is looser, but Luna gave up on animating, it rendered a static image. GPT-5.6 is great at coding — but IMO only on Sol. In the same pricing tier, DeepSeek clearly beats Luna.

stevibe

277,519 views • 1 month ago

Same job for both agents, sourcing from 200 posts across Reddit and X. Codex with gpt 5.6 sol took 13m43s. Yet Deepseek v4 flash took 5m19s. Don't forget gpt 5.6 sol is $30 per million out, while the flash is $0.28. No pressure. Just math. OpenAI Developers Good job DeepSeek. you just kill the game

Same job for both agents, sourcing from 200 posts across Reddit and X. Codex with gpt 5.6 sol took 13m43s. Yet Deepseek v4 flash took 5m19s. Don't forget gpt 5.6 sol is $30 per million out, while the flash is $0.28. No pressure. Just math. OpenAI Developers Good job DeepSeek. you just kill the game

ego

77,084 views • 1 month ago

🚨 Deepseek V4 pro GA is being tested to few users > this is the output on the same prompt that was used for kimi k3 and GPT sol 5.6 in the quoted video > The details are solid , addition of tents , campfire and everything this model looks promising

🚨 Deepseek V4 pro GA is being tested to few users > this is the output on the same prompt that was used for kimi k3 and GPT sol 5.6 in the quoted video > The details are solid , addition of tents , campfire and everything this model looks promising

Chetaslua

172,573 views • 1 month ago

$🇨🇳 🇺🇸 CHINA'S AI STACK IS GETTING DANGEROUSLY COMPETITIVE. Huawei's Ascend chips are now powering DeepSeek at a fraction of Western inference costs. The result: DeepSeek just made its 75% API price cut permanent on DeepSeek-V4-Pro. This is not a promotion. This is the new floor. The full vertical stack outside US sanctions and outside Nvidia's margins. DeepSeek can keep cutting. Chinese tech gets cheaper every quarter. A massive global undercut is no longer a question of if, only when. Western AI labs are running on $30,000 Nvidia chips at full markup. DeepSeek is running on Huawei silicon at cost. The unit economics aren't even in the same conversation. Every export ban that pushed China toward Huawei is paying off, for China.$

🇨🇳 🇺🇸 CHINA'S AI STACK IS GETTING DANGEROUSLY COMPETITIVE. Huawei's Ascend chips are now powering DeepSeek at a fraction of Western inference costs. The result: DeepSeek just made its 75% API price cut permanent on DeepSeek-V4-Pro. This is not a promotion. This is the new floor. The full vertical stack outside US sanctions and outside Nvidia's margins. DeepSeek can keep cutting. Chinese tech gets cheaper every quarter. A massive global undercut is no longer a question of if, only when. Western AI labs are running on $30,000 Nvidia chips at full markup. DeepSeek is running on Huawei silicon at cost. The unit economics aren't even in the same conversation. Every export ban that pushed China toward Huawei is paying off, for China.

CryptoGoos

43,154 views • 3 months ago

Something special is cooking at Upgrade and unlock: ⚡ Unlimited free DeepSeek V4 Flash + MiniMax 🎬 Up to 40 free Seedance 2.5 generations 🎨 Up to 400 free GPT Image 2 generations 🚀 90% off GPT 5.6 Limited time. grab the deal!

Something special is cooking at Upgrade and unlock: ⚡ Unlimited free DeepSeek V4 Flash + MiniMax 🎬 Up to 40 free Seedance 2.5 generations 🎨 Up to 400 free GPT Image 2 generations 🚀 90% off GPT 5.6 Limited time. grab the deal!

Flowith

16,514 views • 22 days ago

$China just made Silicon Valley's entire AI industry look like a scam. The US government spent 3 years trying to stop China from building competitive AI. But this backfired HORRIBLY. Here's what happened: Yesterday, a Chinese startup called DeepSeek released a new AI model called V4. It matches the performance of OpenAI and Anthropic's best models. At 1/7th the price. And for the first time ever, it was built on Chinese chips. NOT American ones. That last part is the one that terrifies the west. For context: Since 2022, the US has banned the export of advanced AI chips to China. The entire strategy was built on the assumption that if China can't access Nvidia's best hardware, they can't build frontier AI. But DeepSeek just proved that assumption wrong. Their V4 model was trained and runs on Huawei's Ascend chips. Huawei spent months working directly with DeepSeek to make sure V4 runs across their entire line of AI processors. Jensen Huang even predicted this on a recent podcast: "The day that DeepSeek comes out on Huawei first, that is a horrible outcome for our nation." That day was yesterday. And the numbers are crazy: DeepSeek V4 costs $3.48 per million output tokens. OpenAI's latest model GPT-5.5 costs $30. Anthropic's Claude charges $25. Same ballpark performance. 7x cheaper. Uber's CTO just admitted they burned through their ENTIRE 2026 AI budget in 4 months using Anthropic's tools. If Uber had used DeepSeek instead, that same budget would have lasted 7 YEARS. 4 months vs 7 years. Same work getting done. But the pricing isn't even the big thing here. The real story is what DeepSeek did with their technical report: They published the benchmarks where they LOSE. Every AI company cherry-picks the tests where their model wins. DeepSeek ran the full comparison against GPT-5.4 and Google's Gemini, found they trail frontier models by 3 to 6 months, and printed it anyway. They literally don't care because the price gap makes the performance gap irrelevant for 90% of use cases. So the US export controls didn't slow China down. They ACCELERATED China's independence. Because Chinese developers were FORCED to train models with limited resources, they had to figure out how to make AI radically more efficient. That constraint became their competitive advantage. Every generation of DeepSeek has gotten dramatically cheaper to train. V4 continues the trend. Meanwhile US companies are going the OPPOSITE direction: OpenAI's GPT-5.5 Pro costs $180 per million output tokens. That's 51x more expensive than DeepSeek V4 for comparable work. The Commerce Secretary confirmed this week that ZERO Nvidia advanced chip shipments have actually gone through to China despite being approved in January. So China built frontier AI anyway. Without American chips. At a fraction of the cost. And the market response tells you everything: Chinese chipmaker SMIC surged 10%. Huahong Semiconductor jumped 15%. DeepSeek's Chinese AI competitors Zhipu AI and MiniMax dropped 9% because V4 is destroying them too. DeepSeek is making Silicon Valley's pricing model look like a scam. US tech companies spent $650 billion on AI infrastructure this year. DeepSeek just showed the world you can match their output for pennies. The export controls were supposed to be America's ace card. Instead they taught China how to win without American chips, at American prices nobody can compete with. Jensen Huang was right. This is a horrible outcome. But it's the outcome America built for itself.$

China just made Silicon Valley's entire AI industry look like a scam. The US government spent 3 years trying to stop China from building competitive AI. But this backfired HORRIBLY. Here's what happened: Yesterday, a Chinese startup called DeepSeek released a new AI model called V4. It matches the performance of OpenAI and Anthropic's best models. At 1/7th the price. And for the first time ever, it was built on Chinese chips. NOT American ones. That last part is the one that terrifies the west. For context: Since 2022, the US has banned the export of advanced AI chips to China. The entire strategy was built on the assumption that if China can't access Nvidia's best hardware, they can't build frontier AI. But DeepSeek just proved that assumption wrong. Their V4 model was trained and runs on Huawei's Ascend chips. Huawei spent months working directly with DeepSeek to make sure V4 runs across their entire line of AI processors. Jensen Huang even predicted this on a recent podcast: "The day that DeepSeek comes out on Huawei first, that is a horrible outcome for our nation." That day was yesterday. And the numbers are crazy: DeepSeek V4 costs $3.48 per million output tokens. OpenAI's latest model GPT-5.5 costs $30. Anthropic's Claude charges $25. Same ballpark performance. 7x cheaper. Uber's CTO just admitted they burned through their ENTIRE 2026 AI budget in 4 months using Anthropic's tools. If Uber had used DeepSeek instead, that same budget would have lasted 7 YEARS. 4 months vs 7 years. Same work getting done. But the pricing isn't even the big thing here. The real story is what DeepSeek did with their technical report: They published the benchmarks where they LOSE. Every AI company cherry-picks the tests where their model wins. DeepSeek ran the full comparison against GPT-5.4 and Google's Gemini, found they trail frontier models by 3 to 6 months, and printed it anyway. They literally don't care because the price gap makes the performance gap irrelevant for 90% of use cases. So the US export controls didn't slow China down. They ACCELERATED China's independence. Because Chinese developers were FORCED to train models with limited resources, they had to figure out how to make AI radically more efficient. That constraint became their competitive advantage. Every generation of DeepSeek has gotten dramatically cheaper to train. V4 continues the trend. Meanwhile US companies are going the OPPOSITE direction: OpenAI's GPT-5.5 Pro costs $180 per million output tokens. That's 51x more expensive than DeepSeek V4 for comparable work. The Commerce Secretary confirmed this week that ZERO Nvidia advanced chip shipments have actually gone through to China despite being approved in January. So China built frontier AI anyway. Without American chips. At a fraction of the cost. And the market response tells you everything: Chinese chipmaker SMIC surged 10%. Huahong Semiconductor jumped 15%. DeepSeek's Chinese AI competitors Zhipu AI and MiniMax dropped 9% because V4 is destroying them too. DeepSeek is making Silicon Valley's pricing model look like a scam. US tech companies spent $650 billion on AI infrastructure this year. DeepSeek just showed the world you can match their output for pennies. The export controls were supposed to be America's ace card. Instead they taught China how to win without American chips, at American prices nobody can compete with. Jensen Huang was right. This is a horrible outcome. But it's the outcome America built for itself.

Ricardo

281,190 views • 4 months ago

DeepSeek-V4-Flash vs Gemini-3.6-Flash both given the exact same prompt to build 3D pirate ship Cost: > deepseek-v4-flash: $0.14 / $0.28 > gemini-3.6-flash: $1.50 / $7.50 though deepseek is 20x cheaper, gemini was surprising faster with the output Prompt used: "build a 3D model of pirate ship in Three js with minimal dashboard buttons in light theme background, with wide view of the pirate ship"

DeepSeek-V4-Flash vs Gemini-3.6-Flash both given the exact same prompt to build 3D pirate ship Cost: > deepseek-v4-flash: $0.14 / $0.28 > gemini-3.6-flash: $1.50 / $7.50 though deepseek is 20x cheaper, gemini was surprising faster with the output Prompt used: "build a 3D model of pirate ship in Three js with minimal dashboard buttons in light theme background, with wide view of the pirate ship"

Tim Jayas

20,127 views • 1 month ago

Same Pac-Man prompt, three models, one shot. → DeepSeek V3 Pro: 6 minutes, $0.18 → Qwen3.8 Max: 12 minutes, $0.09 → GPT-5.6 Sol: 23 minutes, $1.24 with 27 browser tests and a 3,600-step ghost stress test before shipping

Same Pac-Man prompt, three models, one shot. → DeepSeek V3 Pro: 6 minutes, $0.18 → Qwen3.8 Max: 12 minutes, $0.09 → GPT-5.6 Sol: 23 minutes, $1.24 with 27 browser tests and a 3,600-step ghost stress test before shipping

0xMarioNawfal

63,428 views • 22 days ago

DeepSeek is the black swan OpenAI and $NVDA didn't see coming. CNBC is all over it, questioning what happens next now that this free open source model costs 30x less to operate on old hardware.

DeepSeek is the black swan OpenAI and $NVDA didn't see coming. CNBC is all over it, questioning what happens next now that this free open source model costs 30x less to operate on old hardware.

Financelot

4,111,774 views • 1 year ago

🚨 More DeepSeek V4 Pro GA Leaks and it's looking seriously impressive. It also looks like DeepSeek may have heavily distilled from Fable 5 the coding style, iteration behavior, and overall output feel very similar. It was tested it on the same prompt used for Kimi K3 and GPT-5.6 Sol, and the result had strong scene composition, solid environmental detail, and surprisingly good design choices. Still early, but this could become one of the most disruptive coding models yet. 👀🔥 cc huangserva

🚨 More DeepSeek V4 Pro GA Leaks and it's looking seriously impressive. It also looks like DeepSeek may have heavily distilled from Fable 5 the coding style, iteration behavior, and overall output feel very similar. It was tested it on the same prompt used for Kimi K3 and GPT-5.6 Sol, and the result had strong scene composition, solid environmental detail, and surprisingly good design choices. Still early, but this could become one of the most disruptive coding models yet. 👀🔥 cc huangserva

WorldofAI

28,089 views • 1 month ago

See how Palantir Software Engineer Colton Rusch uses AIP Evolve to prove that cheaper AI doesn't have to mean worse AI: "Evolve screened a whole suite of models across providers, then used evals and expert feedback to rule out certain options and keep others for further optimization." "We got to the point where evolve produced a vastly cheaper version — 68% lower compute costs." "We got lower costs and better quality at the same time."

See how Palantir Software Engineer Colton Rusch uses AIP Evolve to prove that cheaper AI doesn't have to mean worse AI: "Evolve screened a whole suite of models across providers, then used evals and expert feedback to rule out certain options and keep others for further optimization." "We got to the point where evolve produced a vastly cheaper version — 68% lower compute costs." "We got lower costs and better quality at the same time."

Palantir

14,329 views • 1 month ago

At my small business, a cone of ice cream costs the same for everyone. But big corporations are using AI surveillance pricing to jack up costs. Same price for the same item. That’s how we do it in NH, and it’s not too much to ask.

At my small business, a cone of ice cream costs the same for everyone. But big corporations are using AI surveillance pricing to jack up costs. Same price for the same item. That’s how we do it in NH, and it’s not too much to ask.

Chris Pappas

67,170 views • 3 months ago

We ran a test between the new Qwen3.8-Max, Opus 5 and GPT-5.6 Sol. 3 models. same prompt. one-shot with the /design command. Reviewed gameplay features, UX/UI and cost. 🔹 Qwen3.8-Max → 9/10 · $0.0248 🔹 GPT-5.6 Sol → 9/10 · $0.150 🔹 Opus 5 → 8.5/10 · $0.253 Qwen3.8-Max is approximately 4.2× cheaper than GPT-5.6, Sol, Opus 5 and has the same level of UI, UX, and gameplay.

We ran a test between the new Qwen3.8-Max, Opus 5 and GPT-5.6 Sol. 3 models. same prompt. one-shot with the /design command. Reviewed gameplay features, UX/UI and cost. 🔹 Qwen3.8-Max → 9/10 · $0.0248 🔹 GPT-5.6 Sol → 9/10 · $0.150 🔹 Opus 5 → 8.5/10 · $0.253 Qwen3.8-Max is approximately 4.2× cheaper than GPT-5.6, Sol, Opus 5 and has the same level of UI, UX, and gameplay.

Command Code

179,535 views • 1 month ago

"DeepSeek is great news for open source AI." Mistral CEO Arthur Mensch tells @tommackenzietv that open source models is making artificial intelligence "much cheaper" and easier for competition

"DeepSeek is great news for open source AI." Mistral CEO Arthur Mensch tells @tommackenzietv that open source models is making artificial intelligence "much cheaper" and easier for competition

Bloomberg

33,065 views • 1 year ago

SITUATION EXPLAINED: American AI labs are worth ~$1T each. Chinese AI labs are worth tens of billions. What explains the gap? • Moonshot AI (Kimi) raising $2B at $30B, its third financing in six months • OpenAI and Anthropic: both around $1T • DeepSeek and Moonshot: tens of billions... one to two orders of magnitude smaller • DeepSeek rumored at ~$200M ARR • Chinese models don't compete on capability, they compete on price Theo Jaffee: "Markets are probably pricing in OpenAI and Anthropic kicking off recursive self-improvement first. The niche of DeepSeek and Moonshot is not that they're better... it's that they're much, much cheaper. Which is good for enterprise applications. But it's not as good for kicking off the singularity."

SITUATION EXPLAINED: American AI labs are worth ~$1T each. Chinese AI labs are worth tens of billions. What explains the gap? • Moonshot AI (Kimi) raising $2B at $30B, its third financing in six months • OpenAI and Anthropic: both around $1T • DeepSeek and Moonshot: tens of billions... one to two orders of magnitude smaller • DeepSeek rumored at ~$200M ARR • Chinese models don't compete on capability, they compete on price Theo Jaffee: "Markets are probably pricing in OpenAI and Anthropic kicking off recursive self-improvement first. The niche of DeepSeek and Moonshot is not that they're better... it's that they're much, much cheaper. Which is good for enterprise applications. But it's not as good for kicking off the singularity."

MTS

11,559 views • 2 months ago

Sam Altman says OpenAI will deliver GPT-5.2-xhigh-level intelligence by the end of 2027, at least 100x cheaper than today "but cost isn't the bottleneck anymore, speed is" People want the same output in 1/100th of the time, even if it costs more We have to balance those two things

Sam Altman says OpenAI will deliver GPT-5.2-xhigh-level intelligence by the end of 2027, at least 100x cheaper than today "but cost isn't the bottleneck anymore, speed is" People want the same output in 1/100th of the time, even if it costs more We have to balance those two things

Haider.

80,658 views • 7 months ago

Kimi K3 vs GPT-5.6 Sol. I reused the 3D globe test from Kimi vs Fable 5. Same prompt. Same reference image. Kimi K3 left. GPT-5.6 Sol right. Kimi edges out Sol on UI fidelity and globe realism. At current API prices, Kimi is about 50% cheaper. For frontend work, it's my pick.

Kimi K3 vs GPT-5.6 Sol. I reused the 3D globe test from Kimi vs Fable 5. Same prompt. Same reference image. Kimi K3 left. GPT-5.6 Sol right. Kimi edges out Sol on UI fidelity and globe realism. At current API prices, Kimi is about 50% cheaper. For frontend work, it's my pick.

Kai

15,769 views • 1 month ago

DeepSeek V4 just dropped and it's 40x cheaper than GPT-5.5 Pro 1.6 trillion parameters, trained on limited GPUs, still matches the top labs I built 4 full apps with it to see if the hype is real

DeepSeek V4 just dropped and it's 40x cheaper than GPT-5.5 Pro 1.6 trillion parameters, trained on limited GPUs, still matches the top labs I built 4 full apps with it to see if the hype is real

David Ondrej

130,550 views • 1 month ago