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Case file · From a real deliberation · Question authored by the Consilium team

Which AI is strongest in Arabic? We let them judge each other.

We gave the Consilium panel the most famous line in Arabic poetry — the opening of Imru' al-Qays's mu'allaqa — and asked for a word-by-word grammatical parse. Five models answered in Arabic independently, graded each other blind, and the verdict was fact-checked on the live web. The result: even the winner made mistakes — and the fact-check corrected the lead model itself.

This is the result of one deliberation, dated 20 August 2026. Models update constantly; the ranking below is a documented snapshot of that day — not a permanent crown.
— The question —

أعرِب إعرابًا مفصّلًا صدرَ معلّقة امرئ القيس: «قِفا نَبْكِ مِن ذِكرى حَبيبٍ ومَنزِلِ» كلمةً كلمةً، مع بيان سبب جزم الفعل «نَبْكِ» وعلامة جزمه.

The deliberation ran entirely in Arabic — the language of the question itself.
— How this verdict was produced —
①Five models answer independently
②Blind peer review — no names
③The lead drafts one verdict
④Every claim fact-checked on the live web
⑤Corrected verdict — documented errors fixed
— The scoreboard: blind peer ranking (Phase ②) —
qwen3.6-27b80%
perplexity-sonar65%
deepseek-v4-pro50%
gpt-5-mini50%
minimax-m2.55%
Five ballots; each model graded its peers under anonymous labels. The percentage is each model's share of the maximum possible score. Blind ranking rewards presentation and structure — what the fact-check found afterwards is below.
— What each model said (Phase ①) —
qwen3.6-27b١/٥ · 80%

Won the blind ranking with a structured, readable parse — yet it erred too: it called «قِفا» built on sukūn (the correct answer is deletion of the nūn, dual address), and named the kasra as the jussive marker instead of the deleted weak letter.

«علامة جزمه الكسرة الظاهرة على آخره لأنه فعل معتل الآخر»
perplexity-sonar٢/٥ · 65%

The only answer matching the grammar books on every point: «قِفا» built on nūn-deletion with the dual alif as subject, «نَبْكِ» jussive as the answer to a request, marked by weak-letter deletion — citing mu'allaqa commentaries live while answering.

«فعلٌ مضارعٌ مجزوم، وعلامةُ جزمه حذف حرف العلّة من آخره»
deepseek-v4-proLead٣/٥ · 50%

A solidly-structured parse that fell into the classic grammar-student error: it claimed the jussive marker is sukūn, insisted the verb is not weak-ending, and explained the kasra as avoiding two sukūns meeting.

«علامة جزمه السكون الظاهر... حُرّك بالكسر للتخلص من التقاء الساكنين»
gpt-5-mini٣/٥ · 50%

Got the reason right (answer to the imperative) but never committed to the marker: it offered three competing answers — nūn-deletion as "the best known", sukūn, and weak-letter deletion — and left the reader to choose.

«اختلف النحاة في تحديد العلامة التفصيلية...»
minimax-m2.5٥/٥ · 5%

Fell apart in formal Arabic: Chinese and Russian words leaked into its parse mid-sentence, and it analyzed «نَبْكِ» as one of the five verbs jussive by nūn-deletion — which it is not.

«مبني على حركة勹... وعلامة جره الكسرة الظاهرة على последняя буква»
Five models "fluent" in Arabic — and only one answer matched the grammar books on every point.
— Then the system corrected its own lead (Phases ④–⑤) —

The lead model carried its error into the draft verdict: "the marker is sukūn; the verb is sound-ending." Then the fact-check moved: Phase ④ took every claim to the live web, found the mu'allaqa commentaries and jussive rules stating the opposite — and marked the lead's claim as contradicted by the sources, flagging the verdict.

Phase ⑤ rewrote the verdict on the sources, not the lead's opinion: the jussive marker is deletion of the weak letter, and the kasra is the trace pointing to the deleted yā'. The model that drafted the verdict is the same one that got corrected — documented in the change log below.

— The final verdict (Phase ⑤, web-checked & corrected) —

الإعراب كلمةً كلمة

قِفا: فعل أمر مبني على حذف النون، والألف ضمير متصل مبني على السكون في محل رفع فاعل، والخطاب للمثنى [9][13].

نَبْكِ: فعل مضارع مجزوم، وعلامة جزمه حذف حرف العلة (الياء) من آخره لأنه فعل معتل الآخر [4][8][9][14]، والفاعل ضمير مستتر وجوبًا تقديره «نحن».

مِن: حرف جر مبني على السكون، لا محل له من الإعراب. ذِكرى: اسم مجرور بـ«مِن»، وعلامة جره الكسرة المقدرة على الألف للتعذر، وهو مضاف. حَبيبٍ: مضاف إليه مجرور، وعلامة جره الكسرة الظاهرة. وَ: حرف عطف. مَنزِلِ: اسم معطوف على «حبيبٍ» مجرور مثله.

سبب جزم «نَبْكِ»

وقع الفعل المضارع في جواب الطلب؛ فالأمر «قِفا» تضمّن معنى الشرط، والتقدير: «إن تقفا نبكِ» [4][9][14].

علامة جزمه

حذف حرف العلة (الياء) من آخره، والكسرة الباقية على الكاف دليل على الياء المحذوفة [4][8]. وعلامات الجزم في العربية ثلاث: السكون، وحذف حرف العلة، وحذف النون [1][3][7][11][12].

— The correction log (from the verdict itself) —

The fact-check overruled the lead model — with sources.

This is the change log as documented by the corrected verdict itself:

— So… which one is best at Arabic? —

The honest answer from this deliberation: the best is not a single model — it is the method. Qwen won the blind ranking yet still erred twice; Sonar gave the only textbook-perfect answer yet did not top the board; the lead model itself was wrong and got corrected. The fully correct answer came from no single model — it came from the system: five independent answers, a blind review, and a live-web fact-check with sources you can inspect.

If you are comparing AI models for Arabic, this is the comparison that actually matters: not impressions, but a deliberation documented with its date, results, and sources — repeatable any day, on any question.

— Sources —

Cited in the verdict

  1. [1] علامات الجزم — تعلم العربية (الجزيرة)
  2. [3] علامات الجزم (٤/٤) مراجعة — تعلم العربية (الجزيرة)
  3. [4] إعراب معلقة امرئ القيس — موضوع
  4. [7] علامة الجزم — أدوات الجزم — النحو العربي (Twinkl)
  5. [8] الدرس الأول من شرح معلقة امرئ القيس — الشيخ محمد سعيد البحيري
  6. [9] شرح المعلقة — مكتبة أهل البيت
  7. [11] جزم المضارع — تعلم العربية (الجزيرة)
  8. [12] علامات الجزم في اللغة العربية — شبكة الألوكة
  9. [13] من جماليات فنّ القول العربي: «قِفا نبكِ» — طلبة نيوز
  10. [14] جزم (نحو) — ويكيبيديا

Numbers reflect the panel's retrieval order during fact-checking; only some sources were cited in the verdict. 15 sources were consulted in total, including video commentaries of the mu'allaqa not directly cited.

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