SAHARA - POS Tagging: leaderboard

Part-of-speech tagging on texts in African languages, 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.

Metric: Macro-F1 (%). Source: huggingface.co. Saturation forecast: Around February 2027. 48 models tracked.

Top models

#ModelScoreOverall rank
1Gemini 3 Pro (Preview)72.81#71
2Gemini 2.5 Pro69.74#159
3GPT-569.24#105
4GPT-5.1 (2025-11-13)66.61#107
5GPT-5.6 Luna63.51#79
6Claude Sonnet 4 (20250514)62.84#223
7Claude Sonnet 454.87#207
8Qwen 3.5 27B44.33#192
9Gemini 2.5 Flash43.36#255
10Qwen 3.6 27B40.89#182
11GPT-4.138.67#258
12Qwen 3.6 35B A3B28.99#238
13c4ai-command-a-03-202527.54#468
14Gemma 4 31B (IT)27.21#178
15Gemma 2 27B (IT)19#652

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

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