gpt-5.6-terra vs zai-glm-4.6

Capability for the money

Not the same tier: gpt-5.6-terra leads zai-glm-4.6 by 34.5 points on following instructions (IFBench), for 1.9× the price.

1. Following instructions

   extraction, classification, sticking to a format

   IFBench
   gpt-5.6-terra71.2%

   zai-glm-4.636.7%

   gpt-5.6-terra +34.5

2. Tool use

   multi-step agent work against real tools

   τ²-bench
   gpt-5.6-terra86.3%

   zai-glm-4.676.9%

   gpt-5.6-terra +9.4

3. Hard reasoning

   graduate-level science and multi-step analysis

   GPQA Diamond
   gpt-5.6-terra92.5%

   zai-glm-4.663.2%

   gpt-5.6-terra +29.3

Averaged over the benchmarks both models sat, zai-glm-4.6 returns 24.8 points of pass rate per dollar of blended price against 18.5 — the ratio that decides whether the dearer model earns its rate.

Each figure is a pass rate: the share of that test set the model answered correctly, measured by a third party rather than self-reported by the lab. Rows are different tests of different difficulty, so compare a model against the other model, not one row against the next. No published coding score for one of these models, so that lens is omitted. And a benchmark is not your workload — it narrows the shortlist, it does not pick for you.