I'd guess it's because they don't want people to reverse engineer it.
Note that they're the only provider which doesn't make their tokenizer available offline as a library (i.e. the only provider whose tokenizer is secret).
Anthropic is somewhat becoming the Apple of AI in terms of closed ecosystem. Not saying I blame them, I just don't like it as a customer.
The fact that it's impossible to get the actual thinking tokens anymore, but we have to do with a rewritten summary, is extremely off-putting. I understand that it's necessary for users, but when writing agentic applications yourself, it's super annoying not to have the actual reasoning of the agent to understand failure modes.
It's _not_ that it's necessary for users. It's that Anthropic got Opus 4.6 ripped off so hard by MiniMax that they no longer want to expose true thinking tokens to random developers. If you're one of the blessed class, you can still get real thinking tokens, but you need to be a major enterprise customer, like the companies that they gave Mythos access.
It may be free, but it cannot be used without credits.
Error: {"type":"error","error":{"type":"invalid_request_error","message":"Your credit balance is too low to access the Anthropic API. Please go to Plans & Billing to upgrade or purchase credits."},"request_id":"req_011CaGaBf6uTHfbmdZ39nx1Z"}
If anyone has a better workflow for creating lots of captions in kdenlive please let me know. I had to duplicate each title to the media library and drag it into the timeline, because if I simply copy/pasted then the text content/styling would be shared across instances
You should. 3.5 MoE was worse than 3.5 dense, so expecting 3.6 MoE to be superior than 3.5 dense is questionable, one could argue that 3.6 dense (not yet released) to be superior than 3.5 dense.
Ok but you made a claim about the new model by stating a fact about the old model. It's easy to see how you appeared to be talking about different things. As for the claim, Qwen do indeed say that their new 3.6 MoE model is on a par with the old 3.5 dense model:
> Despite its efficiency, Qwen3.6-35B-A3B delivers outstanding agentic coding performance, surpassing its predecessor Qwen3.5-35B-A3B by a wide margin and rivaling much larger dense models such as Qwen3.5-27B.
It's strange that my iPhone 14 is at regular temperature when using the E2B model. But also it's a lot slower (not sure how to measure the exact tokens per second, ~12 if I had to guess)
