The best MoonshotAI model for instruction following is Kimi K2.6, satisfying 76.0% of IFBench's verifiable prompt constraints. Kimi K2.5 (70.2%) and Kimi K2 Thinking (68.1%) round out the top three.
AI models ranked by IFBench — how reliably a model obeys explicit, verifiable constraints in the prompt (format, length, inclusion and exclusion rules). High scores mean fewer retries and less prompt-wrangling in production, which often matters more than raw intelligence for pipelines.
The best MoonshotAI model for instruction following is Kimi K2.6, satisfying 76.0% of IFBench's verifiable prompt constraints. Kimi K2.5 (70.2%) and Kimi K2 Thinking (68.1%) round out the top three.
Kimi K2.5 (70.2%) is the closest alternative on this metric, followed by Kimi K2 Thinking (68.1%). See the full ranking above for the tradeoffs.
modelgrep tracks 7 MoonshotAI models with live benchmarks, speed, latency and per-provider pricing, led on intelligence by Kimi K3. 6 of them qualify for this ranking.