MMTIT-Bench - Other to English: leaderboard

Metric: COMET-22 score times 100 (0-100) of end-to-end text-image translation on MMTIT-Bench's 1,400 images (100 each in 14 languages other than English and Chinese; menus, posters, books, documents, products, attractions), against Gemini 2.5 Flash reference translations chosen by model voting and corrected by language experts, identical prompts, final translation only, translating into English; higher is better. Source: arxiv.org. Saturation forecast: Estimated already saturated. 8 models tracked.

Top models

#ModelScoreOverall rank
1Gemini 2.5 Flash79.26#237
2Seed-1.6 (Thinking)76.23#257 (Seed-1.6)
3Qwen 3 VL 235B A22B (Thinking)76.21#228 (Qwen 3 VL 235B A22B)
4Qwen 3 VL 235B A22B Instruct73.67#264
5Qwen 2.5 VL 7B Instruct70.27#643

No result here: #3 Claude Opus 5.5, #5 GPT-6 Astra, #8 Claude Fable 5.1.

Interactive version: theaggregate.ai/benchmark?slug=mmtit-bench-other-to-english · How It Works · Data refreshed daily, snapshot 2026-10-11.