gpt-oss-120b vs jamba-large-1.6

Capability for the money

gpt-oss-120b is 7.8× cheaper than jamba-large-1.6 and scores higher on every benchmark they share — there is no case for paying more here.

1. Coding

   writing and fixing code

   LiveCodeBench
   gpt-oss-120b87.8%

   jamba-large-1.617.2%

   gpt-oss-120b +70.6

2. Hard reasoning

   graduate-level science and multi-step analysis

   GPQA Diamond
   gpt-oss-120b78.2%

   jamba-large-1.638.7%

   gpt-oss-120b +39.5

Averaged over the benchmarks both models sat, gpt-oss-120b returns 184.4 points of pass rate per dollar of blended price against 8.0 — 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 following instructions or tool use score for one of these models, so those lenses are omitted. And a benchmark is not your workload — it narrows the shortlist, it does not pick for you.