Best LLMs for Instruction Following — MiniMax
The best MiniMax model for instruction following is MiniMax M3, satisfying 82.9% of IFBench's verifiable prompt constraints. MiniMax M2.7 (75.7%) and MiniMax M2 (72.3%) round out the top three.
- 1
minimax-m3ReasoningToolsJSON+144.4 intel · $0.300/M · 87 t/s82.9%IFBench - 2minimax-m2.7ReasoningToolsJSON38.1 intel · $0.270/M · 205K ctx75.7%IFBench
- 3minimax-m2ReasoningToolsJSON28.3 intel · $0.255/M · 48 t/s72.3%IFBench
- 4minimax-m2.5ReasoningToolsJSON33.7 intel · $0.150/M · 92 t/s71.6%IFBench
- 5minimax-m2.1ReasoningToolsJSON31.4 intel · $0.300/M · 63 t/s69.9%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 MiniMax model follows instructions most reliably?
The best MiniMax model for instruction following is MiniMax M3, satisfying 82.9% of IFBench's verifiable prompt constraints. MiniMax M2.7 (75.7%) and MiniMax M2 (72.3%) round out the top three.
What's a good alternative to MiniMax M3?
MiniMax M2.7 (75.7%) is the closest alternative on this metric, followed by MiniMax M2 (72.3%). See the full ranking above for the tradeoffs.
How many MiniMax models are there?
modelgrep tracks 8 MiniMax models with live benchmarks, speed, latency and per-provider pricing, led on intelligence by MiniMax M3. 5 of them qualify for this ranking.