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: Tests Correct ↓.
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| Rank | Model | Company | Data parsing and extraction Score | Score | Total Cost | Tests Correct | Response Time (avg) |
|---|---|---|---|---|---|---|---|
| #207 | Granite 4.1 8B none | IBM Granite | 3.0 | 4.0 | $0.007 | 0/2 | 575ms |
| #208 | Grok Build 0.1 none | X AI | 3.8 | 4.0 | $0.547 | 0/2 | 9.33s |
| #210 | Qwen3.5-9B medium | Qwen | 3.6 | 3.8 | $0.036 | 0/2 | 87.3s |
| #214 | Nemotron 3 Nano Omni 30b A3b Reasoning none | NVIDIA | 3.8 | 3.2 | $0.000 | 0/2 | 1.42s |
| #215 | Step 3.5 Flash none | Stepfun | 1.5 | 2.3 | $0.020 | 0/1 | 0ms |
| #216 | LFM2-24B-A2B none | Liquid | 3.0 | 2.2 | $0.001 | 0/2 | 714ms |