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: Metric ↑.
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| Rank | Model | Company | Data parsing and extraction Score | Score | Total Cost | Tests Correct | Response Time (avg) |
|---|---|---|---|---|---|---|---|
| #327 | Step 3.5 Flash none | Stepfun | 1.5 | 2.3 | $0.020 | 0/1 | 0ms |
| #187 | MiMo-V2.5 medium | Xiaomi | 2.7 | 6.4 | $0.104 | 0/2 | 6.33s |
| #322 | Ling 3.0 Tiny medium | Inclusionai | 2.7 | 3.8 | $0.000 | 0/2 | 4.41s |
| #318 | Ling 3.0 Tiny high | Inclusionai | 2.8 | 3.8 | $0.000 | 0/2 | 4.16s |
| #319 | Ling 3.0 Tiny low | Inclusionai | 2.8 | 3.8 | $0.000 | 0/2 | 4.82s |
| #317 | Mercury 2.5 none | Inception | 2.8 | 3.9 | $0.016 | 0/2 | 885ms |
| #286 | Nemotron 3.5 Lightning low | NVIDIA | 2.9 | 4.8 | $0.140 | 0/2 | 31.3s |
| #307 | Granite 4.2 8B none | IBM Granite | 2.9 | 4.3 | $0.037 | 0/2 | 1.05s |
| #312 | MiMo-V2-Flash none | Xiaomi | 2.9 | 4.0 | $0.025 | 0/2 | 19.7s |
| #285 | Ring-2.6-1T none | Inclusionai | 3.0 | 4.8 | $0.026 | 0/2 | 45.9s |
| #314 | Granite 4.1 8B none | IBM Granite | 3.0 | 4.0 | $0.007 | 0/2 | 575ms |
| #328 | LFM2-24B-A2B none | Liquid | 3.0 | 2.2 | $0.001 | 0/2 | 714ms |
| #179 | Qwen3.6 27B medium | Qwen | 3.5 | 6.5 | $0.577 | 0/2 | 37.3s |
| #169 | LongCat 2.0 high | Meituan | 3.6 | 6.7 | $0.492 | 0/2 | 11.0s |
| #321 | Qwen3.5-9B medium | Qwen | 3.6 | 3.8 | $0.062 | 0/2 | 87.3s |