@EMostaque: So @deepseek_ai v4.1 Flash I estimate cost $10m to train, 100x less than GPT-6 Astra. It also costs 100x less to run an…
Summary
A tweet estimates that DeepSeek AI's v4.1 Flash model cost $10 million to train, 100 times less than GPT-6 Astra, with lower running costs and similar benchmark performance, prompting questions about the bull case for frontier AI labs.
View Cached Full Text
Cached at: 09/16/26, 09:58 AM
So @deepseek_ai v4.1 Flash I estimate cost $10m to train, 100x less than GPT-6 Astra.
It also costs 100x less to run and scores about the same on everyday design and other benchmarks
What’s the bull case for the frontier AI labs once the open source models are competent enough https://t.co/0qi59qioI4
Similar Articles
DeepSeek's new AI model is by far the cheapest of well-known models to run, research firm says (4 minute read)
DeepSeek's new V4-Flash AI model is reported to be the cheapest well-known model to run, costing 105 times less than Anthropic's Claude Fable 5.
A cheaper AI model is not necessarily cheaper once retries are counted
A side-by-side coding experiment comparing GPT-5.6 Luna and DeepSeek V4 Flash shows that DeepSeek's apparent 5x price advantage shrinks when retries are included. The article argues for more comprehensive benchmarks reporting cost per attempt and cost per verified success.
DeepSeek R2 just went open-source and it's matching GPT-4o on 9 of 12 benchmarks — for literally $0 in API costs
DeepSeek R2, a new open-source model, matches GPT-4o on nine of twelve benchmarks while running locally on a single A100 for zero API cost, potentially transforming the economics of AI deployment.
Deepseek v4.1 Flash reaches 98% of Astra’s score at 1.4% of cost on OpenDesign Arena
DeepSeek V4.1 Flash achieves 98% of GPT-6 Astra's design score at only 1.4% of the cost, as reported in OpenDesign Arena benchmarks.
@cyrilXBT: CHINA JUST BUILT AN AI MODEL THAT IS COMPETING WITH OPENAI AND ANTHROPIC AT A FRACTION OF THE COST. And someone just dr…
DeepSeek, a Chinese AI model built by a quant hedge fund, is reportedly competing with GPT-4 level performance at roughly 5% of the training cost, causing significant market disruption including a $600B drop in NVIDIA's market cap. A free 1 hour 50 minute course has been released teaching users how to leverage DeepSeek V4 locally and via API.