Here’s the part of the blog post where they describe what’s different about Claude 3.7
We’ve developed Claude 3.7 Sonnet with a different philosophy from other reasoning models on the market. Just as humans use a single brain for both quick responses and deep reflection, we believe reasoning should be an integrated capability of frontier models rather than a separate model entirely. This unified approach also creates a more seamless experience for users.
Claude 3.7 Sonnet embodies this philosophy in several ways. First, Claude 3.7 Sonnet is both an ordinary LLM and a reasoning model in one: you can pick when you want the model to answer normally and when you want it to think longer before answering. In the standard mode, Claude 3.7 Sonnet represents an upgraded version of Claude 3.5 Sonnet. In extended thinking mode, it self-reflects before answering, which improves its performance on math, physics, instruction-following, coding, and many other tasks. We generally find that prompting for the model works similarly in both modes.
Second, when using Claude 3.7 Sonnet through the API, users can also control the budget for thinking: you can tell Claude to think for no more than N tokens, for any value of N up to its output limit of 128K tokens. This allows you to trade off speed (and cost) for quality of answer.
Third, in developing our reasoning models, we’ve optimized somewhat less for math and computer science competition problems, and instead shifted focus towards real-world tasks that better reflect how businesses actually use LLMs.
I assume they’re referring to points 1 and 2. It’s a single model, that can have its reasoning anywhere from 0 tokens (which I imagine is the default non-reasoning model) all the way up to 128k tokens.
Here’s the part of the blog post where they describe what’s different about Claude 3.7
I assume they’re referring to points 1 and 2. It’s a single model, that can have its reasoning anywhere from 0 tokens (which I imagine is the default non-reasoning model) all the way up to 128k tokens.