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.
| Rank | Model | Company | Data parsing and extraction Score | Score | Tests Correct | Response Time (avg) |
|---|---|---|---|---|---|---|
| #145 | Laguna M.1 none | Poolside | 10.0 | 4.8 | 2/2 | 3.37s |
| #146 | Laguna Xs.2 none | Poolside | 10.0 | 4.8 | 2/2 | 646ms |
| #147 | GPT-4o-mini none | OpenAI | 10.0 | 4.8 | 2/2 | 1.27s |
| #151 | Trinity Large Preview none | Arcee AI | 10.0 | 4.6 | 2/2 | 3.26s |
| #153 | Qwen3.6 35B A3B none | Qwen | 10.0 | 4.6 | 2/2 | 1.46s |
| #154 | Qwen3.5-9B none | Qwen | 10.0 | 4.6 | 2/2 | 847ms |
| #157 | Grok 4.1 Fast none | X AI | 10.0 | 4.4 | 2/2 | 943ms |
| #159 | Ling-2.6-1T none | Inclusionai | 10.0 | 4.3 | 2/2 | 1.37s |
| #49 | Qwen3.5-Flash medium | Qwen | 7.3 | 7.4 | 1/2 | 57.0s |
| #66 | Qwen3.5-35B-A3B medium | Qwen | 7.3 | 7.1 | 1/2 | 59.3s |
| #81 | Mercury 2 medium | Inception | 7.3 | 6.6 | 1/2 | 1.11s |
| #103 | DeepSeek V4 Pro high | DeepSeek | 7.3 | 6.0 | 1/2 | 23.6s |
| #132 | Mistral Small 4 medium | Mistral | 7.3 | 5.3 | 1/2 | 1.23s |
| #149 | Nemotron 3 Nano Omni 30b A3b Reasoning medium | NVIDIA | 7.3 | 4.6 | 1/2 | 2.72s |
| #155 | Mercury 2 none | Inception | 7.3 | 4.5 | 1/2 | 667ms |