gpt-oss-120b vs zai-glm-4.6

Capability for the money

zai-glm-4.6 is 5.3× dearer for 11.1 points on tool use (τ²-bench) — worth it only if that is your bottleneck.

1. Following instructions

   extraction, classification, sticking to a format

   IFBench
   gpt-oss-120b69.0%

   zai-glm-4.636.7%

   gpt-oss-120b +32.3

2. Coding

   writing and fixing code

   LiveCodeBench
   gpt-oss-120b87.8%

   zai-glm-4.656.1%

   gpt-oss-120b +31.7

3. Tool use

   multi-step agent work against real tools

   τ²-bench
   gpt-oss-120b65.8%

   zai-glm-4.676.9%

   zai-glm-4.6 +11.1

4. Hard reasoning

   graduate-level science and multi-step analysis

   GPQA Diamond
   gpt-oss-120b78.2%

   zai-glm-4.663.2%

   gpt-oss-120b +15.0

Averaged over the benchmarks both models sat, gpt-oss-120b returns 167.1 points of pass rate per dollar of blended price against 24.5 — 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. And a benchmark is not your workload — it narrows the shortlist, it does not pick for you.