One problem is that $30 per run is really noisy for many verifiable tasks. Ours usually run at least an order of magnitude more for a model in GLM 5.3's price class.

We just published GLM 5.3 results on our multi-agent coding evaluations and it's definitely an impressive model, coming in around #6. For the price, it's actually not Pareto optimal, falling slightly behind Grok 4.6 (which is faster and the same price) and Sol 5.6 (which uses far fewer thinking tokens for comparable results). As with most Chinese models, it excels at iterating in a harness while its first answer/base fluid intelligence is below the American frontier.

Data at https://gertlabs.com/rankings