Claude, ChatGPT, and Gemini get all the hype, but the most interesting AI models are coming from elsewhere
…At $1.30 per million input tokens and $7.80 per million output tokens, it's also a fraction of the cost of Claude Opus 4.6 or GPT-5.4. Like…
…At $1.30 per million input tokens and $7.80 per million output tokens, it's also a fraction of the cost of Claude Opus 4.6 or GPT-5.4. Like…
…The biggest con for me was the cost and token usage. Because it reads so much context to be accurate, you can burn through your limits quickly if you aren’t careful…
…model's parameters per token, and deliver a quality of output that was previously only accessible through larger, denser models at a fraction of the memory cost. The result is that my…
…and others increasing subscription costs over time, as PC hardware becomes more expensive and these companies need to show revenue growth for their IPOs. The biggest argument in favor of local AI…
I use Claude Pro, Qwen 3-Coder, and Gemma 4 together, and it's the most cost-efficient AI workflow I've ever built
…1.35x more tokens than Opus 4.6. In other words, the exact same prompt you were running before could now cost you up to 35% more. And that's before you…
…VRAM has ceased to be the be-all and end-all of local AI hardware, with the focus shifting to a more balanced approach, combining memory capacity and bandwidth in flexible configurations…
…Fable 5 was already difficult to justify economically The shutdown came before the subscription cutoff Fable 5 cost $10 per million input tokens and $50 per million output tokens, double Opus 4…
…the extended token usage disabled. The productivity angle here is pretty straightforward. Most AI tools start losing the thread as a conversation gets longer, or force you to summarize and re-paste…
…but they also consume significantly more tokens. Lighter models like Haiku are more efficient for everyday tasks, whereas Sonnet is a good balance between cost and capability. The real benefit of the…