Braintrust(@braintrust):We built a Braintrust-native eval in collaboration with Baseten to test whether GLM-5.2 can preserve exact long-context retrieval under production serving constraints. GLM-5.2's retrieval score is effectively flat as context grows from 25K to 50K, which is the result users most want to see from a sparse-attention long-context model. Read the full GLM-5.2 eval →

Braintrust

@braintrust

Active observability for agents in production.

Joined August 2023

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Braintrust@braintrust

2026.07.06 21:32

We built a Braintrust-native eval in collaboration with Baseten to test whether GLM-5.2 can preserve exact long-context retrieval under production serving constraints. GLM-5.2's retrieval score is effectively flat as context grows from 25K to 50K, which is the result users most want to see from a sparse-attention long-context model. Read the full GLM-5.2 eval →