A display-only MMLU-Pro reference from Arcee AI's Trinity-Large-Thinking launch chart.
As of March 2026, Claude Opus 4.6 leads the MMLU-Pro (Arcee) leaderboard with 89.1% , followed by Kimi K2.5 (87.1%) and GLM-5 (85.8%).
Claude Opus 4.6
Anthropic
Kimi K2.5
Moonshot AI
GLM-5
Zhipu AI
According to BenchLM.ai, Claude Opus 4.6 leads the MMLU-Pro (Arcee) benchmark with a score of 89.1%, followed by Kimi K2.5 (87.1%) and GLM-5 (85.8%). The scores show moderate spread, with meaningful differences between the top tier and mid-tier models.
5 models have been evaluated on MMLU-Pro (Arcee). The benchmark falls in the Knowledge category. This category carries a 12% weight in BenchLM.ai's overall scoring system. MMLU-Pro (Arcee) is currently displayed for reference but excluded from the scoring formula, so it does not directly affect overall rankings.
Year
2026
Tasks
Professional academic QA
Format
10-way multiple choice
Difficulty
Professional level
BenchLM stores this chart-specific MMLU-Pro row separately so it does not overwrite the standardized weighted MMLU-Pro benchmark values.
Trinity-Large-Thinking: Scaling an Open Source Frontier AgentVersion
MMLU-Pro (Arcee) 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 MMLU-Pro reference from Arcee AI's Trinity-Large-Thinking launch chart.
Claude Opus 4.6 by Anthropic currently leads with a score of 89.1% on MMLU-Pro (Arcee).
5 AI models have been evaluated on MMLU-Pro (Arcee) on BenchLM.
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