DeepSeek V3
product on 10 shows · 11 statements across 7 episodes · said 93 times in 29 episodes since 2025
Latent Space 27 
the a16z Podcast 20 
TBPN 17 
the MAD Podcast 11 
All-In 8 
Big Technology 6 
No Priors 1 
the Startup Ideas Podcast 1 
Catalyst 1 
20VC 1
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Latent Space 27the a16z Podcast 20TBPN 17the MAD Podcast 11All-In 8Big Technology 620VC 1Catalyst 12 more shows
2026 15 mentions in 5 episodes 3 per episode
- State of LLMs 2026: RLVR, GRPO, Inference Scaling — Sebastian Raschka
- Artificial Analysis: The Independent LLM Analysis House — with George Cameron and Micah Hill-Smith
- ⚡️Every product of the future will be a living system — Ronak Malde, Trajectory.ai
- Stop using Claude. Start using Codex?
- Who Wins if AI Models Commoditize? — With Mistral CEO Arthur Mensch
- every mention in 2026, scene by scene →
2025 78 mentions in 24 episodes 3 per episode
- DeepSeek V3, SGLang, and the state of Open Model Inference in 2025 (Quantization, MoEs, Pricing)
- DeepSeek, Reasoning Models, and the Future of LLMs
- The Future of Artificial Intelligence
- DeepSeek Panic, US vs China, OpenAI $40B?, and Doge Delivers with Travis Kalanick and David Sacks
- DeepSeek Update, Market Crash, Timeline in Turmoil, Is VC Cooked, Zero Cope Policy
- Grok's AI Lovebot, Aqui-Hire-Sition Backlash, OpenAI's ChatGPT Agent Debuts
- Generative AI 101: Tokens, Pre-training, Fine-tuning, Reasoning — With SemiAnalysis CEO Dylan Patel
- What DeepSeek Means For The Future Of AI | Tech Veterans Weigh In
- 16 more episodes that year, every mention in 2025 →
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11 statements about DeepSeek V3, every show
DeepSeek-R1 cost roughly $300,000 to train, 10x cheaper than DeepSeek-V3
“Deep seek version three, they had like a five million dollar price tag on that given the, I think two dollars per GPU, they assume whether that's a correct assumption or not it's a different question, but if you compare it relative to the cost of R one, I thin…”
Bakouch: DeepSeek-V3 uses the same Adam optimizer parameters as Llama 2
“And for example, a good a good way to view that is that DeepSeq rig three is still using the same Adam parameter than Lama two.”
Kantrowitz: Kimi K2 Scores 65.8 on SWE-Bench, Trailing Claude 4 Opus
“Claude IV Opus gets a 72.5 on that. Kimi K-II gets 65.8, so not far behind. And just to, you know, give some context, Deep Seek V-III, which everybody was going crazy over, gets a 38.”
Patel: Model inference costs dropped 60x from GPT-4 to DeepSeek-V3
“And likewise, when we look at from GPT-IV to DeepSeq VIII it's fallen roughly 600 X in cost. Right. So we're not quite at that 1200 X, but it has fallen 600 X in cost from 60 dollars to less than you know, to about a dollar. Right. Or to less than a dollar. So…”
Patel: Meta's next Llama model will match DeepSeek-V3's cost efficiency
“And Meta's Meta is going to release their new llama soon enough. Right. And that one is going to be, you know, a similar level of cost decrease probably similar areas, deep seek V three.”
Mascorro: DeepSeek-V3 features 256 experts, far exceeding typical open-source models
“We talk about it as 256 experts, which is a large, a relative large number of experts in terms of at least open source models that we've seen out there.”
Appenzeller: DeepSeek spent $5.5 million at market rates to train V3
“They quoted 5.5 million dollars, I think, you know, at market rates to train it.”
David Sacks notes DeepSeek V3 self-identified as ChatGPT-4
“A month ago, we had a press cycle in Silicon Valley when DeepSeq's V-three model came out, that DeepSeq V-three was self-identifying as ChatGPT. When you would ask it, who are you? Like, what model are you? Five out of eight times, V-three would tell you that …”
Zhang: DeepSeek-V3 is currently the leading open-source LLM
“Yeah, because DeepSeq VIII, I think, is currently considered the leading open source LLMs based on the benchmark results and the chat area results.”
Zhang: DeepSeek-V3 cannot run on a single 8xH100 GPU node
“You need, I think 671 gigabytes for the weights, and you also need an extra memory for the KV cache, so it's not possible to run that on H-one hundred.”