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Claude 3.7 Sonnet and Claude Code

anthropic.com

391–400 of 1001 posts

Re: Claude 3.7 Sonnet and Claude Code

#391

Earlier quoted context omitted.

I'm surprised that Gemini 2.0 is first now. I remember that Google models were under performing on kagi benchmarks.

Having your own hardware to run LLMs will pay dividends. Despite getting off on the wrong foot, I still believe Google is best positioned to run away with the AI lead, solely because they are not beholden to Nvidia and not stuck with a 3rd party cloud provider. They are the only AI team that is top to bottom in-house.

I've used gemini for it's large context window before. It's a great model. But specifically in this benchmark it has always scored very low. So I wonder what has changed.

Re: Claude 3.7 Sonnet and Claude Code

#392
post #9

It's fascinating how close these companies are to each other. Some company comes up with something clever/ground-breaking and everyone else has implemented it a few weeks later. Hard not to think of Kurzweil's Law of Accelerating Returns.

It’s extremely unlikely that everyone is copying in a few weeks for models that themselves take many weeks if not longer to train. Great minds think alike, and everyone is influencing everyone. The history of innovation is filled with examples of similar discoveries around the same time but totally disconnected in the world. Now with the rate of publishing and the openness of the internet, you’re only bound to get ev…

> for models that themselves take many weeks if not longer to train.

they all have foundational heavy-trained model, and then they can do follow up experimental training much faster.

Re: Claude 3.7 Sonnet and Claude Code

#394
post #200
post #91

Hi everyone! Boris from the Claude Code team here. @eschluntz, @catherinewu, @wolffiex, @bdr and I will be around for the next hour or so and we'll do our best to answer your questions about the product.

Why gatekeep Claude Code, instead of releasing the code for it? It seems like a direct increase in revenue/API sales for your company.

I'm not affiliated with Anthropic, but it seems like doing this will commoditize Claude (the AIaaS). Hosted AI providers are doing all they can to move away from being interchangeable commodities; it's not good for Anthropic's revenue for users to be able to easily swap-out the backend of Cloud Code to a local Olama backend, or a cheaper hosted DeepSeek. Open sourcing Claude Code would make this option 1 or 2 forks/PRs away.

Re: Claude 3.7 Sonnet and Claude Code

#395
post #129
post #91

Hi everyone! Boris from the Claude Code team here. @eschluntz, @catherinewu, @wolffiex, @bdr and I will be around for the next hour or so and we'll do our best to answer your questions about the product.

Anthropic is back and cementing its place as the creator of the best coding models—bravo! With Claude Code, the goal is clearly to take a slice of Cursor and its competitors' market share. I expected this to happen eventually. The app layer has barely any moat, so any successful app with the potential to generate significant revenue will eventually be absorbed by foundation model companies in their quest for growth a…

I wonder if they will offer competitive request counts against Cursor. Right now, at least for me, the biggest downside to Claude is how fast I blow through the limits (Pro) and hit a wall.

At least with Cursor, I can use all "premium" 500 completions and either buy more, or be patient for throttled responses.

Re: Claude 3.7 Sonnet and Claude Code

#396

It’s amazingly good, but it will be scaringly good when there will be a way to include the entire codebase in the context and let it create and run various parts of a large codebase autonomously. Right now I can only do patch work and give specific code snippets to make it work. Excited to try this new version out, I’m sure I won’t be disappointed, Edit: I just tried claude code CLI and it's a good compromise, it wor…

Cursor AI is getting there.

Re: Claude 3.7 Sonnet and Claude Code

#397
post #91

Hi everyone! Boris from the Claude Code team here. @eschluntz, @catherinewu, @wolffiex, @bdr and I will be around for the next hour or so and we'll do our best to answer your questions about the product.

Any change there will be a way to copy and paste the responses into other text boxes (i.e., a new email) and not have to re-jig the formatting?

Lists, numbers, tabs, etc. are all a little time consuming... minor annoyance but thought I'd share.

Re: Claude 3.7 Sonnet and Claude Code

#398
post #27

Earlier quoted context omitted.

Well, the companies releasing open weights also need to recoup their investments at some point, they can't coast on VC hype forever. Huge models don't grow on trees.

Or, like Meta, they make their money elsewhere and just seem interested in wrecking the economics of LLMs. As soon as an open-weight model is released, it basically sets a global floor that says "Models with similar or worse performance effectively have zero value," and that floor has been rising incredibly quickly. I'd be surprised if the vast, vast majority of queries ChatGPT gets couldn't get equivalently good res…

I think Meta folks just don't know how to come to this market and build something potentially profitable, and doing random stuff, because need to report some results to management.

Re: Claude 3.7 Sonnet and Claude Code

#400
post #341

Earlier quoted context omitted.

If you are open to alternatives, try https://glama.ai/gateway We currently serve ~10bn tokens per day (across all models). OpenAI compatible API. No rate limits. Built in logging and tracing. I work with LLMs every day, so I am always on top of adding models. 3.7 is also already available. https://glama.ai/models/claude-3-7-sonnet-20250219 The gateway is integrated directly into our chat ( https://glama.ai/chat ). So…

Do you have deepseek r1 support? I need it for a current product I’m working on.

Indeed we do https://glama.ai/models/deepseek-r1

It is provided by DeepSeek and Avian.

I am also midway of enabling a third-provider (Nebius).

You can see all models/providers over at https://glama.ai/models

As another commenter in this tread said, we are just a 'frontend wrapper' around other people services. Therefore, it is not particularly difficult to add models that are already supported by other providers.

The benefit of using our wrapper is that you can use a single API key and you get one bill for all your AI bills, you don't need to hack together your own logic for routing requests between different providers, failovers, keeping track of their costs, worry what happens if a provider goes down, etc.

The market at the moment is hugely fragmented, with many providers unstable, constantly shifting prices, etc. The benefit of a router is that you don't need to worry about those things.

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