benchmark evidence
Global-MMLU-Lite Bengali
Artificial Analysis Global-MMLU-Lite accuracy for Bengali.
winner on Global-MMLU-Lite Bengali
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
| # | Model | Score | Evidence | Tested |
|---|---|---|---|---|
| 1 | Anthropic: Claude Opus 4.6 | 92.1 | model-only independent_benchmark | 2000-01-01 |
| 2 | Anthropic: Claude Sonnet 4.6 | 90.9 | model-only independent_benchmark | 2000-01-01 |
| 3 | Anthropic: Claude Opus 4.5 | 90.6 | model-only independent_benchmark | 2000-01-01 |
| 4 | Google: Gemini 2.5 Pro | 90.1 | model-only independent_benchmark | 2000-01-01 |
| 5 | Anthropic: Claude Sonnet 4.5 | 90.1 | model-only independent_benchmark | 2000-01-01 |
| 6 | Google: Gemini 2.5 Flash | 87.6 | model-only independent_benchmark | 2000-01-01 |
| 7 | OpenAI: GPT-5.2 | 85.6 | model-only independent_benchmark | 2000-01-01 |
| 8 | Anthropic: Claude Haiku 4.5 | 83.1 | model-only independent_benchmark | 2000-01-01 |
| 9 | Z.ai: GLM 5 | 81.3 | model-only independent_benchmark | 2000-01-01 |
| 10 | DeepSeek: DeepSeek V3.2 | 80.3 | model-only independent_benchmark | 2000-01-01 |
| 11 | Meta: Llama 4 Maverick | 79.8 | model-only independent_benchmark | 2000-01-01 |
| 12 | Meta: Llama 4 Scout | 74.9 | model-only independent_benchmark | 2000-01-01 |
| 13 | MoonshotAI: Kimi K2 Thinking | 74.8 | model-only independent_benchmark | 2000-01-01 |
what this result means
Artificial Analysis Global-MMLU-Lite accuracy for Bengali.
This benchmark contributes direct public evidence. Read its scope before generalizing the result.
A win here is a win on Global-MMLU-Lite Bengali. 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