FCMBench V1.1 - Numerical Calculation: leaderboard

Evaluates visual credit-document understanding on FCMBench V1.1: 26 document types, 5,198 images and 13,806 VQA pairs. Exact-match key/value sets are scored with F1; task scores macro-average fine-grained subtasks. Numeric calculation permits differences below 2. The paper prefers instruct or lowest available reasoning effort. The two-stage DeepSeek-OCR plus V3.2 system stays distinct from either model alone. These are paper V1.1 scores, not the differing repository leaderboard. This series reports FCMBench V1.1 - Numerical Calculation using F1 (%).

Metric: F1 (%). Source: arxiv.org. Saturation forecast: Around February 2027. 28 models tracked.

Top models

#ModelScoreOverall rank
1Gemini 3 Pro59.75#82
2Gemini 3 Flash57.26#103
3Kimi K2.555.87#152
4Qwen 3.5 35B A3B54.71#268
5Qwen 3.5 122B A10B54.64#184
6Qwen 3.5 397B A17B50.16#154
7Claude Opus 4.543.01#87
8Qwen 3 VL 235B A22B Instruct39.89#280
9GLM-4.5V39.7#358
10Qwen 3 VL 32B Instruct35.93#290
11GLM-4.6V32.32#330
12GPT-5.230.02#115
13Qwen 3 VL 8B Instruct29.98#419
14Llama 4 Maverick27.64#486
15Qwen 3 VL 30B A3B Instruct26.04#390

No result here: #3 Claude Opus 5.5, #6 GPT-6 Astra, #7 GPT-6.1 Sol.

Interactive version: theaggregate.ai/benchmark?slug=fcmbench-v1-1-numerical-calculation · How It Works · Data refreshed daily, snapshot 2026-11-05.