SAHARA - Language Identification: leaderboard

Language identification (lid), naming which African language a text is written in, from the SAHARA African-language LLM leaderboard (UBC-NLP, ACL 2025). The task score is the mean over the languages the task covers; Macro-F1 on a 0-100 scale, higher is better. Most models score near zero.

Metric: Macro-F1 (%). Source: huggingface.co. Saturation forecast: Around 2031. 48 models tracked.

Top models

#ModelScoreOverall rank
1Gemini 3 Pro (Preview)11.84#71
2Gemma 2 27B (IT)4.61#652
3c4ai-command-a-03-20254.57#468
4GPT-4.14.48#258
5GPT-54.23#105
6GPT-5.1 (2025-11-13)4.15#107
7Qwen 3.5 27B4.06#192
8Qwen 3.5 4B4.02#514
9Gemma 3 27B (IT)4#528
10Claude Sonnet 4 (20250514)3.73#223
11Qwen 3.6 35B A3B3.7#238
12Gemma 2 9B (IT)3.6#795
13GPT-5.6 Luna3.54#79
14aya-23-35B3.34#873
15Command-R+ (08-2024)3.32#838

No result here: #3 Claude Opus 5.5, #6 GPT-6 Astra, #7 GPT-6.1 Sol.

Interactive version: theaggregate.ai/benchmark?slug=sahara-language-identification · How It Works · Data refreshed daily, snapshot 2026-11-05.