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BenchLM

Artificial Analysis Global-MMLU-Lite (AA Global-MMLU-Lite)

An independently evaluated multilingual knowledge result from Artificial Analysis.

Data verified 25 confirmed releases in the last 30 daysStart the free Radar Brief

Benchmark score on AA Global-MMLU-Lite — August 29, 2026

We mirror the published score view for AA Global-MMLU-Lite. Gemini 3.1 Pro leads the public snapshot at 93.2%, followed by Gemini 3 Flash (92.7%) and Gemini 3 Pro (92.2%). We do not use these results to rank models overall.

1Closed

Gemini 3.1 Pro

Google

93.2%
Overall 56.25Context 1M
2Closed

Gemini 3 Flash

Google

92.7%
Overall 60.09Context 1M
3Closed

Gemini 3 Pro

Google

92.2%
Overall 67.64Context 2M
5 modelsMultilingualCurrentDisplay onlyUpdated August 29, 2026

Benchmark score table (5 models)

Score
1
Gemini 3.1 ProGoogle · Closed
93.2%
2
Gemini 3 FlashGoogle · Closed
92.7%
3
Gemini 3 ProGoogle · Closed
92.2%
4
Claude Opus 4.6 (Adaptive)Anthropic · Closed
92.2%
5
GPT-OSS 120BOpenAI · Open weight
82.8%

The published AA Global-MMLU-Lite snapshot places Gemini 3.1 Pro first at 93.2%. The third row is 1.0 points behind. The broader top-10 range is 10.4 points, so the table still separates the published systems.

5 models have been evaluated on AA Global-MMLU-Lite. The benchmark falls in the Multilingual category. This category carries a 7% weight in BenchLM.ai's overall scoring system. AA Global-MMLU-Lite is currently displayed for reference but excluded from the scoring formula, so it does not directly affect overall rankings.

About AA Global-MMLU-Lite

Year

2026

Tasks

Multilingual knowledge questions

Format

Accuracy

Difficulty

Multilingual professional knowledge

Stored as a display-only multilingual score.

Artificial Analysis Global-MMLU-Lite Benchmark Leaderboard

BenchLM freshness & provenance

Version

AA Global-MMLU-Lite 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 AA Global-MMLU-Lite measure?

An independently evaluated multilingual knowledge result from Artificial Analysis.

Which model scores highest on AA Global-MMLU-Lite?

Gemini 3.1 Pro by Google currently leads with a score of 93.2% on AA Global-MMLU-Lite.

How many models are evaluated on AA Global-MMLU-Lite?

5 AI models have been evaluated on AA Global-MMLU-Lite on BenchLM.

Compare Top Models on AA Global-MMLU-Lite

Gemini 3.1 Pro vs Gemini 3 FlashGemini 3 Flash vs Gemini 3 ProGemini 3 Pro vs Claude Opus 4.6 (Adaptive)Claude Opus 4.6 (Adaptive) vs GPT-OSS 120B
Last updated: August 29, 2026 · BenchLM version AA Global-MMLU-Lite 2026

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