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: Response Time (avg) ↑.
| Rank | Model | Company | Data parsing and extraction Score | Score | Tests Correct | Response Time (avg) |
|---|---|---|---|---|---|---|
| #134 | GLM 5 Turbo none | Z.ai | 10.0 | 5.2 | 2/2 | 2.47s |
| #70 | GPT-5.4 Nano medium | OpenAI | 10.0 | 7.0 | 2/2 | 2.54s |
| #44 | Gemini 3.1 Flash Lite medium | 10.0 | 7.5 | 2/2 | 2.60s | |
| #149 | Nemotron 3 Nano Omni 30b A3b Reasoning medium | NVIDIA | 7.3 | 4.6 | 1/2 | 2.72s |
| #22 | Step 3.7 Flash medium | Stepfun | 10.0 | 8.0 | 2/2 | 2.75s |
| #114 | Qwen3.5 Plus 2026-04-20 none | Qwen | 10.0 | 5.7 | 2/2 | 2.82s |
| #156 | Hy3 preview none | Tencent | 6.5 | 4.4 | 1/2 | 2.85s |
| #74 | Qwen3.6 Max Preview none | Qwen | 10.0 | 6.9 | 2/2 | 2.87s |
| #50 | Gemini 3.1 Flash Lite Preview low | 10.0 | 7.4 | 2/2 | 3.00s | |
| #80 | Mimo V2 Omni medium | Xiaomi | 10.0 | 6.7 | 2/2 | 3.04s |
| #24 | GPT-5.2 Chat none | OpenAI | 10.0 | 7.9 | 2/2 | 3.05s |
| #15 | GPT-5.3-Codex medium | OpenAI | 10.0 | 8.4 | 2/2 | 3.07s |
| #42 | GPT-5.2 medium | OpenAI | 10.0 | 7.5 | 2/2 | 3.15s |
| #151 | Trinity Large Preview none | Arcee AI | 10.0 | 4.6 | 2/2 | 3.26s |
| #6 | GPT-5.5 low | OpenAI | 10.0 | 9.0 | 2/2 | 3.28s |