SAHARA - Context-Based QA: leaderboard

Context-based extractive question answering (squad_qa), currently Swahili only, 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
1GPT-584.82#105
2GPT-5.1 (2025-11-13)82.81#107
3Gemma 2 27B (IT)82.49#652
4Qwen 3.6 27B81.57#182
5Qwen 3.6 35B A3B81.36#238
6Llama 4 Scout Instruct81.34#547
7Qwen 3.5 27B81.26#192
8Gemma 2 9B (IT)80.91#795
9c4ai-command-a-03-202580.05#468
10Gemini 2.5 Flash80.03#255
11Gemma 3 27B (IT)79.16#528
12Gemini 2.5 Pro79.03#159
13GPT-5.6 Luna78.3#79
14Llama 3.1 8B Instruct78.04#1017
15Claude Sonnet 4 (20250514)78.02#223

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

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