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Claude Sonnet 4 now supports 1M tokens of context

anthropic.com

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Re: Claude Sonnet 4 now supports 1M tokens of context

#51

Shame it's only the API. Would've loved to see it via the web interface on claude.ai itself.

Can you even fit 200+k tokens worth of context in the web interface? IMO Claude's API workbench is the worst of the three major providers.

When working on artifacts after a few change requests it definitely can.

Re: Claude Sonnet 4 now supports 1M tokens of context

#52
post #16

This is definitely one of my CORE problem as I use these tools for "professional software engineering." I really desperately need LLMs to maintain extremely effective context and it's not actually that interesting to see a new model that's marginally better than the next one (for my day-to-day). However. Price is king. Allowing me to flood the context window with my code base is great, but given that the price has su…

> it's not clear if the value actually exists here. Having spent a couple of weeks on Claude Code recently, I arrived to the conclusion that the net value for me from agentic AI is actually negative. I will give it another run in 6-8 months though.

Did you try with using Opus exclusively?

Re: Claude Sonnet 4 now supports 1M tokens of context

#56
Before this they supposedly had a longer context window than ChatGPT, but I have workloads that abuse the heck out of context windows (100-120K tokens). ChatGPT genuinely seems to have a 32K context window, in the sense that is legitimately remembers/can utilize everything within that window.

Claude previously had "200K" context windows, but during testing it wouldn't even hit a full 32K before hitting a wall/it forgetting earlier parts of the context. They also have extremely short prompt limits relative to the other services around, making it hard to utilize their supposedly larger context windows (which is suspicious).

I guess my point is that with Anthropic specifically, I don't trust their claims because that has been my personal experience. It would be nice if this "1M" context window now allows you to actually use 200K though, but it remains to be seen if it can even do that. As I said with Anthropic you need to verify everything they claim.

Re: Claude Sonnet 4 now supports 1M tokens of context

#57

Earlier quoted context omitted.

> it's not clear if the value actually exists here. Having spent a couple of weeks on Claude Code recently, I arrived to the conclusion that the net value for me from agentic AI is actually negative. I will give it another run in 6-8 months though.

Did you try with using Opus exclusively?

Do you know if there's a way to force Claude code to do that exclusively? I've found a few env vars online but they don't seem to actually work

Re: Claude Sonnet 4 now supports 1M tokens of context

#58
post #48
post #42

Earlier quoted context omitted.

> I really desperately need LLMs to maintain extremely effective context I actually built this. I'm still not ready to say "use the tool yet" but you can learn more about it at https://github.com/gitsense/chat . The demo link is not up yet as I need to finalize an admin tool but you should be able to follow the npm instructions to play around with. The basic idea is, you should be able to load your entire repo or rep…

Wait that's not how Cursor etc work? (I made assumptions)

Dunno about Cursor but this is exactly how I use Zed to navigate groups of projects

Re: Claude Sonnet 4 now supports 1M tokens of context

#59
post #48
post #42

Earlier quoted context omitted.

> I really desperately need LLMs to maintain extremely effective context I actually built this. I'm still not ready to say "use the tool yet" but you can learn more about it at https://github.com/gitsense/chat . The demo link is not up yet as I need to finalize an admin tool but you should be able to follow the npm instructions to play around with. The basic idea is, you should be able to load your entire repo or rep…

Wait that's not how Cursor etc work? (I made assumptions)

I don't use Cursor so I can't say, but based on what I've read, they optimize for smaller context to reduce cost and probably for performance. The issue is, I think this is severely flawed as LLMs are insanely context sensitive and forgetting to include a reference file can lead to undesirable code.

I am obviously biased, but I still think to get the best results, the context needs to be human curated to ensure everything the LLM needs will be present. LLMs are probabilistic, so the more relevant context, the greater the chances the final output is the most desired.

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