7 articles with this tag
Gemma 4 runs on consumer hardware, beats models four times its size, and made local AI viable. But the version you download isn’t the one that produced the benchmarks, and “open weights” still doesn’t mean “open source.”
DeepSeek V4 Pro costs roughly 7 times less than Claude Opus 4.6 for output tokens, not 100 times. The savings are real, but the video title is pure clickbait. Here are the actual numbers, the setup, and the caveats nobody mentions.
Two open-weight models from China just ate Western labs’ lunch on two fronts: sustained autonomous execution and cost-efficient frontier coding. And both are MIT-licensed.
Claude Code’s built-in persistent memory works, but it silently truncates after 200 lines and only retrieves 5 files per turn. Third-party tools are filling the gaps, and the most effective setup is a simple three-file pattern anyone can adopt today.
OpenRouter offers 30+ LLM models for free. What you won’t find on the landing page: you need at least $10 to unlock the actually useful tier, models disappear without warning, and you can accidentally spend money you never intended to.
GPT-5.5 dropped on April 23, one week after Opus 4.7. Both claim to be the smartest model available. Neither is entirely right. The real question is: what are you using it for?
In a real code review on his own library, antirez found that Kimi K2.6 caught a buffer overread bug that GPT-5.4 completely missed on the first pass. The “golden standard” model needed hand-holding to find what the Chinese challenger spotted on its own. This isn’t a leaderboard upset - it’s a reminder that model supremacy is always context-dependent, and that optionality requires investment before you need it.