o4-mini (high)

BenchLM is tracking o4-mini (high), but sourced benchmark results are not published on the site yet. This page currently shows the model metadata we can verify now, and score-level benchmark coverage will appear once public evaluations land.

o4-mini (high) is a proprietary model with a 200K token context window. It uses explicit chain-of-thought reasoning, which typically improves performance on math and complex reasoning tasks at the cost of higher latency and token usage.

This profile currently has 0 sourced benchmarks on BenchLM, so the benchmark sections below are intentionally marked as coming soon.

Its strongest category is Multilingual (#38), while its weakest is Instruction Following (#71). This performance profile makes it a well-rounded choice across a range of tasks.