G-IdiomAlign - Multiple-Choice Equivalence - English Targets: leaderboard
G-IdiomAlign (Ye et al., 2026) multiple-choice idiom equivalence over the 8 directions whose target language is English. Given a source idiom, the model picks the meaning-equivalent target-language idiom among four options whose three distractors are a literal translation, a lexical look-alike and a contextually associated idiom; accuracy in percent (higher is better), macro-averaged over the directions.
Metric: Accuracy (%; source idiom to its meaning-equivalent target-language idiom among four options, the other three typed distractors (literal translation, lexical cue, contextual association), greedy decoding; macro-average over the 8 directions into English). Source: arxiv.org. Saturation forecast: Around February 2027. 7 models tracked.
Top models
| # | Model | Score | Overall rank |
|---|---|---|---|
| 1 | DeepSeek V3.2 (Thinking) | 66.7 | #403 (DeepSeek V3.2) |
| 2 | Gemini 2.5 Pro | 66.53 | #262 |
| 3 | DeepSeek V3.2 (Non-reasoning) | 57.84 | #403 (DeepSeek V3.2) |
| 4 | Claude Haiku 4.5 | 55.54 | #568 |
| 5 | Qwen 3 8B (Thinking) | 39.57 | #1838 (Qwen 3 8B) |
| 6 | Qwen 3 8B (Non-reasoning) | 33.95 | #1838 (Qwen 3 8B) |
| 7 | Ministral-8B-Instruct-2410 | 30.29 | #4720 |
No result here: #1 Claude Fable 5.2, #2 Gemini 4 Carbon, #5 Claude Opus 5.5.
Interactive version: theaggregate.ai/benchmark?slug=g-idiomalign-multiple-choice-equivalence-english-targets · How It Works · Data refreshed daily, snapshot 2026-11-12.