Jev vs GLM 5.3 at chess!

Pitted Jev against GLM 5.3 at chess, where Jev moved in ~0.3s for under $0.0001 while GLM won by checkmate in 29 moves.

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Jev vs GLM 5.3 at chess!

Results:

◾ GLM 5.3 won by checkmate in 29 moves

◾ Jev: ~0.3s and <$0.0001 per move

◾ GLM 5.3: ~5.8s and ~$0.008 per move

◾ The whole game cost 24 cents

My main takeaway is that it's often useful to use each one to their strengths:

◾ Fast, well-defined classification → specialized models like Jev

◾ Classifications that need reasoning or lookahead → LLMs like GLM 5.3

◾ Real classification pipelines → hybrid. Jev handles the easy calls, an open model handles the hard ones.

The future is multi-model!

Engagement when collected

Numbers are a snapshot taken from X when the case was added to the library (schema v1, collected 2026-09-19); they will not match today.