grok-4.20-0309-reasoning vs kimi-k2-0905-preview

Capability for the money

Not the same tier: grok-4.20-0309-reasoning leads kimi-k2-0905-preview by 41.2 points on following instructions (IFBench), for 2.8× the price.

1. Following instructions

   extraction, classification, sticking to a format

   IFBench
   grok-4.20-0309-reasoning82.9%

   kimi-k2-0905-preview41.7%

   grok-4.20-0309-reasoning +41.2

2. Tool use

   multi-step agent work against real tools

   τ²-bench
   grok-4.20-0309-reasoning96.5%

   kimi-k2-0905-preview73.4%

   grok-4.20-0309-reasoning +23.1

3. Hard reasoning

   graduate-level science and multi-step analysis

   GPQA Diamond
   grok-4.20-0309-reasoning88.5%

   kimi-k2-0905-preview76.7%

   grok-4.20-0309-reasoning +11.8

Averaged over the benchmarks both models sat, kimi-k2-0905-preview returns 59.5 points of pass rate per dollar of blended price against 29.8 — 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.