Best LLMs for Instruction Following — Cohere
The best Cohere model for instruction following is North Mini Code (free), satisfying 57.6% of IFBench's verifiable prompt constraints. Command A (36.5%) is next.
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north-mini-code:freeReasoningTools19.8 intel · Free/M · 19 t/s57.6%IFBench - 2command-aJSON7.7 intel · $2.50/M · 39 t/s36.5%IFBench
How this is ranked
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.
Frequently asked
Which Cohere model follows instructions most reliably?
The best Cohere model for instruction following is North Mini Code (free), satisfying 57.6% of IFBench's verifiable prompt constraints. Command A (36.5%) is next.
What's a good alternative to North Mini Code (free)?
Command A (36.5%) is the closest alternative on this metric. See the full ranking above for the tradeoffs.
How many Cohere models are there?
modelgrep tracks 5 Cohere models with live benchmarks, speed, latency and per-provider pricing, led on intelligence by North Mini Code (free). 2 of them qualify for this ranking.