MM-CondChain - Chart: leaderboard

Metric: Path F1 (%), the harmonic mean of True-path accuracy (follow every condition to the final answer) and False-path accuracy (stop at the perturbed condition and pick its auxiliary answer), on 200 ChartQA charts; zero-shot multiple choice with a boxed answer, unparseable outputs wrong; higher is better. Source: arxiv.org. Saturation forecast: Around January 2027. 27 models tracked.

Top models

#ModelScoreOverall rank
1Gemini 3 Pro66.04#77
2GPT-565.44#91
3Gemini 3 Flash61.96#93
4Qwen 3 VL 235B A22B (Thinking)59.96#228 (Qwen 3 VL 235B A22B)
5Gemini 2.5 Pro59.66#145
6Qwen 3.5 397B A17B58.55#141
7Qwen 3 VL 235B A22B Instruct57.84#264
8Qwen 3 VL 30B A3B (Thinking)57.24#338 (Qwen 3 VL 30B A3B)
9Qwen 3.5 122B A10B51.95#170
10Kimi K2.548.82#139
11GLM-4.6V45.31#309
12Qwen 3.5 9B42.87#363
13Qwen 3 VL 8B (Thinking)42.35
14Gemini 2.5 Flash40.45#237
15Qwen 3 VL 8B Instruct39.78#401

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

Interactive version: theaggregate.ai/benchmark?slug=mm-condchain-chart · How It Works · Data refreshed daily, snapshot 2026-10-11.