Overall, Sonnet 5 provides a cost-effective alternative for users who do not require the highest performance levels, making it a valuable addition to the AI landscape.
0:00 Anthropic just released Sonnet 5. So let's run through everything you need to know about it. So let's begin with the benchmarks. And remember Sonnet 5 is a less powerful, less expensive model than things like Opus and definitely Fable. We haven't had an upgrade here since 4.6. Now comparing 5 to 4.6, we see this is a huge leap forward in terms of agentic coding, multiddisciplinary reasoning, computer use, and knowledge work. So straight upgrade across the board. Now when we compare it to Opus 4.8, The question isn't is it close, it's how
0:31 much of a fall-off do we have? And honestly, it's not that much of a fall-off. In fact, it boasts better numbers when we see knowledge work, which is kind of crazy. The computer use is only 2% behind, and it's only 2% behind a coding and only a handful of percentage points behind it on multidisciplinary reasoning. The biggest gap is over here with SWEBench Pro when we look at 63 versus 69%. But hey, Terminal Bench 2.1 80 versus 82. So this isn't much of a gap. And this discussion
1:03 about performance has to be done in the context of the pricing. Remember Fable 5, Mythos 5, we're looking at $10 for input tokens, which is double opus. Opus is $5 per million input input tokens. And for output, it's at $25. So $5, $25. For sonnet 5, we're looking at $2. So only 40% of the cost of Opus in input tokens and for output it's $10. So significantly cheaper, less than half
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