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) |
|---|---|---|---|---|---|---|---|
| #189 | LongCat 2.0 high | Meituan | 3.6 | 6.7 | $0.492 | 0/2 | 11.0s |
| #199 | Qwen3.6 27B medium | Qwen | 3.5 | 6.5 | $0.770 | 0/2 | 37.3s |
| #208 | MiMo-V2.5 medium | Xiaomi | 2.7 | 6.4 | $0.104 | 0/2 | 6.33s |
| #236 | GPT-5 Nano medium | OpenAI | 3.7 | 6.0 | $0.118 | 0/2 | 21.4s |
| #240 | Dots 3 Note Preview medium | Dots Studio | 4.5 | 5.9 | $0.000 | 0/2 | 78.5s |
| #290 | Nemotron 3.5 Lightning medium | NVIDIA | 3.7 | 5.1 | $0.155 | 0/2 | 23.2s |
| #310 | Ring-2.6-1T none | Inclusionai | 3.0 | 4.8 | $0.026 | 0/2 | 45.9s |
| #311 | Nemotron 3.5 Lightning low | NVIDIA | 2.9 | 4.8 | $0.139 | 0/2 | 31.3s |
| #323 | Granite 4.2 8B high | IBM Granite | 3.8 | 4.6 | $0.135 | 0/2 | 56.5s |
| #325 | MiniMax M2.5 medium | Minimax | 4.6 | 4.6 | $0.327 | 0/2 | 7.48s |
| #332 | Granite 4.2 8B none | IBM Granite | 2.9 | 4.3 | $0.037 | 0/2 | 1.05s |
| #337 | MiMo-V2-Flash none | Xiaomi | 2.9 | 4.0 | $0.025 | 0/2 | 19.7s |
| #339 | Granite 4.1 8B none | IBM Granite | 3.0 | 4.0 | $0.007 | 0/2 | 575ms |
| #341 | Grok Build 0.1 none | X AI | 3.8 | 4.0 | $0.547 | 0/2 | 9.33s |
| #342 | Mercury 2.5 none | Inception | 2.8 | 3.9 | $0.016 | 0/2 | 885ms |