VTC-Bench (Interface Tools) - Robust OCR: leaderboard

Metric: Pass rate (%) on robust OCR (50 questions on degraded text), answering VTC-Bench's 680 visual questions (538 multiple-choice, 142 open-ended) that call for chains of image operations with the same 32 OpenCV-based tools invoked through a function-calling interface, up to 20 rounds; rule matching plus a GPT-4o judge for open answers; proprietary models in high reasoning mode; higher is better. Source: arxiv.org. Saturation forecast: Around May 2027. 19 models tracked.

Top models

#ModelScoreOverall rank
1Gemini 3 Pro (High)70#77 (Gemini 3 Pro)
2Gemini 3 Flash (High)68#93 (Gemini 3 Flash)
3Qwen 3 VL 235B A22B Instruct40#264
4Qwen 3 VL 30B A3B Instruct40#365
5Qwen 3 VL 235B A22B (Thinking)40#228 (Qwen 3 VL 235B A22B)
6Qwen 3 VL 32B Instruct34#276
7Qwen 3 VL 8B Instruct30#401
8Qwen 3 VL 32B (Thinking)30#287 (Qwen 3 VL 32B)
9Qwen 3 VL 30B A3B (Thinking)28#338 (Qwen 3 VL 30B A3B)
10GPT-5.2 (High)28#105 (GPT-5.2)
11O3 (High)28#121 (O3)
12O4 Mini (High)24#172 (O4 Mini)
13GPT-4o20#333
14Qwen 3 VL 8B (Thinking)20

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

Interactive version: theaggregate.ai/benchmark?slug=vtc-bench-interface-tools-robust-ocr · How It Works · Data refreshed daily, snapshot 2026-10-11.