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MMLU-Pro first-party comparison snapshot (MMLU-Pro (Arcee))

A display-only MMLU-Pro reference from Arcee AI's Trinity-Large-Thinking launch chart.

Data verified

Benchmark score on MMLU-Pro (Arcee) — July 11, 2026

BenchLM mirrors the published score view for MMLU-Pro (Arcee). Claude Opus 4.6 leads the public snapshot at 89.1% , followed by Kimi K2.5 (87.1%) and GLM-5 (85.8%). BenchLM does not use these results to rank models overall.

1Closed

Claude Opus 4.6

Anthropic

claude-opus-4-6

89.1%
Overall 83Context 1M
2Open

Kimi K2.5

Moonshot AI

kimi-k2-5

87.1%
Overall 63Context 256K
3Open

GLM-5

Z.AI

glm-5

85.8%
Overall 63Context 200K
6 modelsKnowledgeCurrentDisplay onlyUpdated July 11, 2026

Benchmark score table (6 models)

Score
1
Claude Opus 4.6Anthropic · Closed
89.1%
2
Kimi K2.5Moonshot AI · Open weight
87.1%
3
GLM-5Z.AI · Open weight
85.8%
4
Trinity-Large-ThinkingArcee AI · Open weight
83.4%
5
MiniMax M2.7MiniMax · Open weight
80.8%
6
Trinity-Large-PreviewArcee AI · Open weight
75.2%

The published MMLU-Pro (Arcee) snapshot is tightly clustered at the top: Claude Opus 4.6 sits at 89.1%, while the third row is only 3.3 points behind. The broader top-10 spread is 13.9 points, so the benchmark still separates strong models even when the leaders cluster.

6 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.

About MMLU-Pro (Arcee)

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 Agent

BenchLM freshness & provenance

Version

MMLU-Pro (Arcee) 2026

Refresh cadence

Quarterly

Staleness state

Current

Question availability

Public benchmark set

CurrentDisplay only

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.

FAQ

What does MMLU-Pro (Arcee) measure?

A display-only MMLU-Pro reference from Arcee AI's Trinity-Large-Thinking launch chart.

Which model scores highest on MMLU-Pro (Arcee)?

Claude Opus 4.6 by Anthropic currently leads with a score of 89.1% on MMLU-Pro (Arcee).

How many models are evaluated on MMLU-Pro (Arcee)?

6 AI models have been evaluated on MMLU-Pro (Arcee) on BenchLM.

Compare Top Models on MMLU-Pro (Arcee)

Claude Opus 4.6 vs Kimi K2.5Kimi K2.5 vs GLM-5GLM-5 vs Trinity-Large-ThinkingTrinity-Large-Thinking vs MiniMax M2.7
Last updated: July 11, 2026 · BenchLM version MMLU-Pro (Arcee) 2026

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