kimi-k2-0905-preview vs zai-glm-4.7

Capability for the money

Not the same tier: zai-glm-4.7 leads kimi-k2-0905-preview by 26.2 points on following instructions (IFBench), for 2.2× the price.

1. Following instructions

   extraction, classification, sticking to a format

   IFBench
   kimi-k2-0905-preview41.7%

   zai-glm-4.767.9%

   zai-glm-4.7 +26.2

2. Coding

   writing and fixing code

   LiveCodeBench
   kimi-k2-0905-preview61.0%

   zai-glm-4.789.4%

   zai-glm-4.7 +28.4

3. Tool use

   multi-step agent work against real tools

   τ²-bench
   kimi-k2-0905-preview73.4%

   zai-glm-4.795.9%

   zai-glm-4.7 +22.5

4. Hard reasoning

   graduate-level science and multi-step analysis

   GPQA Diamond
   kimi-k2-0905-preview76.7%

   zai-glm-4.785.9%

   zai-glm-4.7 +9.2

Averaged over the benchmarks both models sat, kimi-k2-0905-preview returns 58.8 points of pass rate per dollar of blended price against 35.7 — 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.