A display-only instruction-following benchmark reference from Arcee AI's Trinity-Large-Thinking comparison chart.
As of March 2026, MiniMax M2.7 leads the IFBench leaderboard with 75.7% , followed by GLM-5 (72.3%) and Kimi K2.5 (70.2%).
MiniMax M2.7
MiniMax
GLM-5
Zhipu AI
Kimi K2.5
Moonshot AI
According to BenchLM.ai, MiniMax M2.7 leads the IFBench benchmark with a score of 75.7%, followed by GLM-5 (72.3%) and Kimi K2.5 (70.2%). There is significant spread across the leaderboard, making this benchmark effective at differentiating model capabilities.
5 models have been evaluated on IFBench. The benchmark falls in the Instruction Following category. This category carries a 5% weight in BenchLM.ai's overall scoring system. IFBench is currently displayed for reference but excluded from the scoring formula, so it does not directly affect overall rankings.
Year
2026
Tasks
Instruction-following tasks
Format
Constraint and compliance evaluation
Difficulty
Instruction precision
BenchLM tracks IFBench as a display-only instruction-following reference when providers publish exact chart values.
Trinity-Large-Thinking: Scaling an Open Source Frontier AgentVersion
IFBench 2026
Refresh cadence
Quarterly
Staleness state
Current
Question availability
Public benchmark set
BenchLM uses freshness metadata to decide whether a benchmark should still be treated as a strong differentiator, a benchmark to watch, or a display-only reference. For the full scoring policy, see the BenchLM methodology page.
A display-only instruction-following benchmark reference from Arcee AI's Trinity-Large-Thinking comparison chart.
MiniMax M2.7 by MiniMax currently leads with a score of 75.7% on IFBench.
5 AI models have been evaluated on IFBench on BenchLM.
Get notified when new models drop, benchmark scores change, or the leaderboard shifts. One email per week.
Free. No spam. Unsubscribe anytime. We only store derived location metadata for consent routing.