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benchmark evidence

Global-MMLU-Lite Portuguese

Artificial Analysis Global-MMLU-Lite accuracy for Portuguese.

winner on Global-MMLU-Lite Portuguese
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
93.9
model-only
independent_benchmark
2000-01-01
2Anthropic: Claude Sonnet 4.6
Anthropic
92.5
model-only
independent_benchmark
2000-01-01
3Anthropic: Claude Opus 4.5
Anthropic
92.4
model-only
independent_benchmark
2000-01-01
4Google: Gemini 2.5 Pro
Google
92.1
model-only
independent_benchmark
2000-01-01
5Anthropic: Claude Sonnet 4.5
Anthropic
91.8
model-only
independent_benchmark
2000-01-01
6OpenAI: GPT-5.2
Openai
90.3
model-only
independent_benchmark
2000-01-01
7Google: Gemini 2.5 Flash
Google
89.6
model-only
independent_benchmark
2000-01-01
8Z.ai: GLM 5
Z Ai
88.1
model-only
independent_benchmark
2000-01-01
9DeepSeek: DeepSeek V3.2
Deepseek
88.0
model-only
independent_benchmark
2000-01-01
10Anthropic: Claude Haiku 4.5
Anthropic
87.4
model-only
independent_benchmark
2000-01-01
11Meta: Llama 4 Maverick
Meta Llama
82.4
model-only
independent_benchmark
2000-01-01
12Meta: Llama 4 Scout
Meta Llama
75.0
model-only
independent_benchmark
2000-01-01
13MoonshotAI: Kimi K2 Thinking
Moonshotai
73.9
model-only
independent_benchmark
2000-01-01
what this result means

Artificial Analysis Global-MMLU-Lite accuracy for Portuguese.

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

A win here is a win on Global-MMLU-Lite Portuguese. 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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