That's like saying "somewhere between Eliza and Haiku 4.5". Haiku is not even a so-called 'reasoning model'.¹
¹ To preempt the easily-offended, this is what the latest Opus 4.6 in today's Claude Code update says: "Claude Haiku 4.5 is not a reasoning model — it's optimized for speed and cost efficiency. It's the fastest model in the Claude family, good for quick, straightforward tasks, but it doesn't have extended thinking/reasoning capabilities."
[0]: https://www-cdn.anthropic.com/7aad69bf12627d42234e01ee7c3630...
> Claude Haiku 4.5, a new hybrid reasoning large language model from Anthropic in our small, fast model class.
> As with each model released by Anthropic beginning with Claude Sonnet 3.7, Claude Haiku 4.5 is a hybrid reasoning model. This means that by default the model will answer a query rapidly, but users have the option to toggle on “extended thinking mode”, where the model will spend more time considering its response before it answers. Note that our previous model in the Haiku small-model class, Claude Haiku 3.5, did not have an extended thinking mode.
I would absolutely believe mar-ticles that Qwen has achieved Haiku 4.5 'extended thinking' levels of coding prowess.
Oh HN never change.
Haiku 4.5 is a reasoning model, regardless of whatever hallucination you read. Being a hybrid reasoning model means that, depending on the complexity of the question and whether you explicitly enable reasoning (this is "extended thinking" in the API and other interfaces) when making a request to the LLM, it will emit reasoning tokens separately prior to the tokens used in the main response.
I love your theory that there was some mix up on their side because they were lazy and it was just some marketing dude being quirky with the technical language.
* Haiku 4.5 by default doesn't think, i.e. it has a default thinking budget of 0.
* By setting a non-zero thinking budget, Haiku 4.5 can think. My guess is that Claude Code may set this differently for different tasks, e.g. thinking for Explore, no thinking for Compact.
* This hybrid thinking is different from the adaptive thinking introduced in Opus 4.6, which when enabled, can automatically adjust the thinking level based on task difficulty.
Yep. And if your heart wants to call Haiku a "reasoning model", obviously you must listen. It doesn't meet that bar for me for a couple reasons: (1) It lacks both "adaptive thinking" and "interleaved thinking" (per Anthropic, both critical for reasoning models), and (2) it also performed unacceptably with a real-world collection of very basic reasoning tasks that I tried using it for.¹ I'm glad you're having better luck with it.
That said, it's a great and affordable little model for what it was designed for!
¹ I once made the mistake of converting a bunch of skills (which require basic reasoning) to use Haiku for Axiom (https://charleswiltgen.github.io/Axiom/). It failed miserably, and wow, did users let me have it. On the bright side, as a result I'm now far better at testing models' ability to reason.