TokenSwap-Bench (Image-Interleaved): leaderboard

TokenSwap-Bench (2026) replaces visualizable words in 1,516 MMLU questions with matching images to measure the modality gap of multimodal LLMs. Accuracy in percent on the image-interleaved questions; higher is better.

Metric: Accuracy (%; 1,516 MMLU questions in which visualizable concepts (4.58 per question on average) are replaced by semantically aligned images inside the text, four-option multiple choice, standard prompt, answer letter extracted by regular expression). Source: arxiv.org. Saturation forecast: Estimated already saturated. 42 models tracked.

Top models

#ModelScoreOverall rank
1Claude Opus 4.692.6#102
2Gemini 3.1 Pro (Preview)91.4#94
3Claude Sonnet 4.690.6#161
4GPT-5.190.3#229
5Gemini 2.5 Pro88.8#266
6GPT-5.288.7#176
7Gemini 2.5 Flash88.5#453
8Gemini 3 Flash88.4#164
9GPT-585.6#167
10Claude Haiku 4.583.3#568
11Qwen 3 VL 8B (Thinking)80.8#887
12Qwen 3 VL 4B (Thinking)78#1296
13Gemini 2.5 Flash Lite76.6#958
14GPT-4.176.1#495
15Gemini 3.1 Flash Lite75.9#364

No result here: #1 Claude Fable 5.2, #2 Gemini 4 Carbon, #5 Claude Opus 5.5.

Interactive version: theaggregate.ai/benchmark?slug=tokenswap-bench-image-interleaved · How It Works · Data refreshed daily, snapshot 2026-11-13.