HomeAnthropic's New AI: Surprisingly Affordable to Train
Anthropic's latest AI model, Claude 3.7 Sonnet, was reportedly trained for just a few tens of millions of dollars, using less than 10^26 FLOPs of computing power. This info comes from Wharton professor Ethan Mollick, who shared on X that he got this straight from Anthropic's PR team. They told him, "I was contacted by Anthropic who told me that Sonnet 3.7 would not be considered a 10^26 FLOP model and cost a few tens of millions of dollars," though they hinted that future models would be way bigger.
TechCrunch tried to get the scoop from Anthropic but didn't hear back before their article went live.
If Claude 3.7 Sonnet really did cost just a few tens of millions to train, it's pretty wild to think how much cheaper it's getting to roll out top-notch AI models. Just to give you an idea, Claude 3.5, which came out in the fall of 2024, also cost a few tens of millions to train, according to Anthropic's CEO, Dario Amodei.
When you stack these numbers against what it cost to train the big dogs from 2023, it's even more impressive. OpenAI dropped over $100 million to get their GPT-4 model up and running, according to their CEO, Sam Altman. And Google? They spent close to $200 million on their Gemini Ultra model, if you believe a Stanford study.
But hold on, Amodei thinks the price tag for future AI models could hit the billions. And remember, training costs are just one piece of the puzzle. There's also safety testing, fundamental research, and all that jazz. Plus, as the AI world starts leaning into "reasoning" models that chew on problems for longer, the costs to keep these models running are probably gonna keep climbing.
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Comments (37)
0/500
![JonathanRamirez]()
Wait, only tens of millions to train a top-tier model? That's a game-changer for accessibility. Makes you wonder how much the others are spending... and what the real cost of compute will be in a few years. 🤔
![RoyYoung]()
这成本控制也太厉害了吧，几十百万美元就能训出来？看来大模型的门槛在快速降低，未来小团队是不是也有机会搞出惊人的成果？就是不知道这数据质量怎么保证的，别是偷工减料了 😅
![RobertMartin]()
Anthropicのコスト効率すごい！数十億ドルかかると思ってたのに、たった数千万ドルでトレーニング済みなの？🤯 でも本当に倫理的にデータ使ってるのか気になる。他社も追従してAI開発費が下がったら、もっと面白いプロジェクトが増えるかもね。
![MatthewCarter]()
Wow, Anthropic trained Claude 3.7 Sonnet for just tens of millions? That’s a steal in the AI world! Makes me wonder how they optimized to keep costs so low. Exciting for smaller startups, but big players must be sweating. 😅
![EdwardMartinez]()
Wow, training Claude 3.7 for just tens of millions? That’s a steal in AI land! Makes me wonder how they cut corners without losing quality. 🤔 Exciting for startups, though—cheaper AI could shake things up!
![AlbertGarcía]()
Wow, training Claude 3.7 for just tens of millions? That’s a steal in AI world! Makes me wonder how Anthropic pulled it off—clever optimization or cutting corners? 🤔
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Wait, only tens of millions to train a top-tier model? That's a game-changer for accessibility. Makes you wonder how much the others are spending... and what the real cost of compute will be in a few years. 🤔
这成本控制也太厉害了吧，几十百万美元就能训出来？看来大模型的门槛在快速降低，未来小团队是不是也有机会搞出惊人的成果？就是不知道这数据质量怎么保证的，别是偷工减料了 😅
Anthropicのコスト効率すごい！数十億ドルかかると思ってたのに、たった数千万ドルでトレーニング済みなの？🤯 でも本当に倫理的にデータ使ってるのか気になる。他社も追従してAI開発費が下がったら、もっと面白いプロジェクトが増えるかもね。
Wow, Anthropic trained Claude 3.7 Sonnet for just tens of millions? That’s a steal in the AI world! Makes me wonder how they optimized to keep costs so low. Exciting for smaller startups, but big players must be sweating. 😅
Wow, training Claude 3.7 for just tens of millions? That’s a steal in AI land! Makes me wonder how they cut corners without losing quality. 🤔 Exciting for startups, though—cheaper AI could shake things up!
Wow, training Claude 3.7 for just tens of millions? That’s a steal in AI world! Makes me wonder how Anthropic pulled it off—clever optimization or cutting corners? 🤔
