Last week, @Gemini 3. Today, @Claude by Anthropic Opus 4.5.

Embraced by the community on X, did Anthropic win the AI coding race?

Yesterday, Meta announced that they have released a new collection of AI models, Llama 4, in its Llama family.

(It consists of Llama 4 Scout, Llama 4 Maverick, and Llama 4 Behemoth.)

Historically, Open AI with its ChatGPT has been on the market for the longest period.

Hi Founders,

I excited to share that I have built ArchitectGBT - Find Your Perfect AI Model and now its BETA live. ArchitectGBT is an AI-powered tool that takes the guesswork out of LLM selection.

Describe your project in natural language Get instant recommendations ranked by speed, cost, and accuracy for your specific use case.

Raycast keeps adding new models every week.

I use @Anthropic's Claude 3.7 Sonnet when coding and @OpenAI's o3-mini when speed matters. Curious what works best for the community.
Over to you! What model are you using and why?

Edit 2025-07-30: Raycast just introduced Auto Models. "Let AI choose the best model for the job at hand." Join the discussion here 

There's a lot of options for models these days. I've been using Claude 3.7 but I'm curious what's been working well for others. What model are you using and why?

Is the thinking version of @Claude by Anthropic worth the extra credit spend? Does @DeepSeek work well enough to save some credits? Is it worth trying any of the @ChatGPT by OpenAI models?

There's a lot of options for models these days. I've been using Claude 3.7 but I'm curious what's been working well for others. What model are you using and why?

Is the thinking version of @Claude by Anthropic worth the extra credit spend? Does @DeepSeek work well enough to save some credits? Is it worth trying any of the @ChatGPT by OpenAI models?

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Anthropic just released two new models for Claude 4: Opus 4 and Sonnet 4. Let's find out how good they are.

What are you using it for?

What s impressed you? What s broken?

Yes, we had this talk on Product Hunt countless times, about whether Apple is behind in AI.

Apple is in early talks with Google to potentially use Gemini AI to power a revamped version of Siri, as part of efforts to catch up in generative AI. They have been considering Anthropic s Claude and OpenAI s ChatGPT + testing their own models.

One of the biggest pain points in AI chatbots has been their forgetfulness having to repeat the same context over and over again. AI memory aims to solve this by allowing models like ChatGPT and the newly launched Gemini to retain past interactions.

But how well do these memory features work? Which AI ChatGPT or Gemini handles memory better? And more importantly, does AI memory provide more value in personal use or enterprise settings?

On their livestream today, OpenAI just released a bunch of new tools for reliably building and using AI agents. From what I can tell, this is what's new-

New APIs:

• Responses API - a new multi-modal API that builds on chat completions to allow for the next-generation of tool calling, starting with the new tools announced today.