AI BENCHY Category
Data parsing and extraction Ranking
See which AI models perform best on Data parsing and extraction, which ones stay reliable, and where the biggest gaps appear. Sort by: Score ↑.
| Rank | Model | Company | Data parsing and extraction Score | Score | Tests Correct | Response Time (avg) |
|---|---|---|---|---|---|---|
| #163 | Granite 4.1 8B none | IBM Granite | 3.0 | 4.0 | 0/2 | 575ms |
| #162 | Nemotron 3 Nano Omni 30b A3b Reasoning none | NVIDIA | 3.8 | 4.1 | 0/2 | 1.42s |
| #161 | Qwen3.5-9B medium | Qwen | 3.6 | 4.2 | 0/2 | 87.3s |
| #160 | LFM2-24B-A2B none | Liquid | 3.0 | 4.2 | 0/2 | 714ms |
| #159 | Ling-2.6-1T none | Inclusionai | 10.0 | 4.3 | 2/2 | 1.37s |
| #158 | GLM 4.7 Flash medium | Z.ai | 6.3 | 4.4 | 1/2 | 1.51s |
| #157 | Grok 4.1 Fast none | X AI | 10.0 | 4.4 | 2/2 | 943ms |
| #156 | Hy3 preview none | Tencent | 6.5 | 4.4 | 1/2 | 2.85s |
| #155 | Mercury 2 none | Inception | 7.3 | 4.5 | 1/2 | 667ms |
| #154 | Qwen3.5-9B none | Qwen | 10.0 | 4.6 | 2/2 | 847ms |
| #153 | Qwen3.6 35B A3B none | Qwen | 10.0 | 4.6 | 2/2 | 1.46s |
| #152 | MiMo-V2-Flash none | Xiaomi | 2.9 | 4.6 | 0/2 | 19.7s |
| #151 | Trinity Large Preview none | Arcee AI | 10.0 | 4.6 | 2/2 | 3.26s |
| #150 | Qwen3 Coder Next medium | Qwen | 6.5 | 4.6 | 1/2 | 81.8s |
| #149 | Nemotron 3 Nano Omni 30b A3b Reasoning medium | NVIDIA | 7.3 | 4.6 | 1/2 | 2.72s |