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benchmark evidence

Global-MMLU-Lite German

Artificial Analysis Global-MMLU-Lite accuracy for German.

winner on Global-MMLU-Lite German
direct benchmark result, not a broad vertical composite | source row dated 2000-01-01
scored on 2000-01-01 · stale source data (9646d)
latest mapped results | top 20
#ModelScoreEvidenceTested
1Anthropic: Claude Opus 4.6
Anthropic
93.4
model-only
independent_benchmark
2000-01-01
2Anthropic: Claude Opus 4.5
Anthropic
93.0
model-only
independent_benchmark
2000-01-01
3Google: Gemini 2.5 Pro
Google
92.4
model-only
independent_benchmark
2000-01-01
4Anthropic: Claude Sonnet 4.6
Anthropic
92.3
model-only
independent_benchmark
2000-01-01
5Anthropic: Claude Sonnet 4.5
Anthropic
91.7
model-only
independent_benchmark
2000-01-01
6Google: Gemini 2.5 Flash
Google
90.3
model-only
independent_benchmark
2000-01-01
7Z.ai: GLM 5
Z Ai
88.7
model-only
independent_benchmark
2000-01-01
8OpenAI: GPT-5.2
Openai
88.7
model-only
independent_benchmark
2000-01-01
9DeepSeek: DeepSeek V3.2
Deepseek
88.3
model-only
independent_benchmark
2000-01-01
10Anthropic: Claude Haiku 4.5
Anthropic
87.9
model-only
independent_benchmark
2000-01-01
11Meta: Llama 4 Maverick
Meta Llama
87.8
model-only
independent_benchmark
2000-01-01
12MoonshotAI: Kimi K2 Thinking
Moonshotai
78.0
model-only
independent_benchmark
2000-01-01
13Meta: Llama 4 Scout
Meta Llama
75.7
model-only
independent_benchmark
2000-01-01
what this result means

Artificial Analysis Global-MMLU-Lite accuracy for German.

This benchmark contributes direct public evidence. Read its scope before generalizing the result.

A win here is a win on Global-MMLU-Lite German. Broad task pages require independent corroboration before naming a general winner.

source record
category: multilingual
metric: accuracy
matched models: 13
latest source date: 2000-01-01
direction: higher is better
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