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Opus 5.5: Anthropic lowers the cost of working with its larger Claude
The larger Claude has new rates: $4 per million input tokens and $20 for output. Let’s look at what the claimed savings mean for longer jobs.
How to choose a model for a task: Claude and OpenAI releases, comparisons on your own tasks, JEV (AI judging AI), RAG and local models.
Start with the guide to comparing models on your own tasks, then try JEV and catch an error before you trust an answer.
The larger Claude has new rates: $4 per million input tokens and $20 for output. Let’s look at what the claimed savings mean for longer jobs.
Anthropic says Sonnet 5.5 generates responses more than 30 percent faster. Token rates stay unchanged; the claimed savings come from a shorter route to the result.
Close your laptop and let Codex keep working. Add a cheaper Sol and Dots for recurring tasks, and there is plenty to unpack from DevDay. Here is where we would start.

The assistant quoted a ticket price. The trouble is, the source had no price list. We have twelve such situations: see how JEV, GPT-6 Luna and you judge them.
One model answers; another judges it. Sounds sensible, until we ask who checks the judge. We take a look at JEV and share an exercise of our own.
Running a model on your own hardware sounds appealing. With Gemma 4, we start with one task, then look at variants, memory and everyday maintenance.
Which model should you choose? Give both the same proposal and see what they do with the price, deadline and missing information. Time spent correcting them counts too.
You upload the current policy, but the chat still gives the old terms. Before changing the model, let’s inspect the passages it actually received.