Claude Opus 4.7 vs Kimi K2.6: benchmarks and Connect Four

Claude Opus 4.7 and Kimi K2.6 are the focus of this model comparison, which pairs an Artificial Analysis leaderboard review with a Connect Four match. The speaker recommends evaluating models against a concrete business task and using benchmarks to narrow the candidates.

In the leaderboard shown, Opus 4.7 at maximum reasoning effort leads the intelligence index, followed by Gemini 3.1 Pro Preview, GPT 5.4 at extra-high effort, and Kimi K2.6. The speaker notes that Kimi is labeled open weight, a distinction from the looser use of open source. The video does not cover how to run models locally or give hardware requirements.

The speaker also discusses Opus 4.7's adaptive thinking, which he says must remain enabled. He reports that its tokenizer can produce up to 35% more tokens for the same input. He describes an ultra review command for checking recent work for potential bugs.

Opus wins the Connect Four game by creating a double threat that Kimi recognizes too late. The speaker estimates that the accelerated match took about an hour and a half. He explicitly calls this test unscientific, so the result is an example of game performance rather than evidence of a universal winner.