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) |
|---|---|---|---|---|---|---|---|
| #302 | GPT-5 Nano medium | OpenAI | 0.4 | 0.6 | $0.159 | 0/2 | 21.4s |
| #306 | Dots 3 Note Preview medium | Dots Studio | 0.4 | 0.6 | $0.000 | 0/2 | 78.5s |
| #368 | Nemotron 3.5 Lightning medium | NVIDIA | 0.4 | 0.5 | $0.195 | 0/2 | 23.2s |
| #371 | Granite 4.2 8B high | IBM Granite | 0.4 | 0.5 | $0.111 | 0/2 | 56.5s |
| #378 | Nemotron 3.5 Lightning low | NVIDIA | 0.3 | 0.5 | $0.175 | 0/2 | 31.3s |
| #384 | Ring 2.6 1t default | Inclusionai | 0.3 | 0.4 | $0.026 | 0/2 | 45.9s |
| #389 | Granite 4.2 8B none | IBM Granite | 0.3 | 0.4 | $0.037 | 0/2 | 1.05s |
| #393 | MiniMax M2.5 medium | Minimax | 0.5 | 0.4 | $0.440 | 0/2 | 7.48s |
| #397 | Mercury 2.5 none | Inception | 0.3 | 0.4 | $0.026 | 0/2 | 885ms |
| #399 | Qwen3.5-9B medium | Qwen | 0.4 | 0.4 | $0.106 | 0/2 | 87.3s |
| #405 | Granite 4.1 8b default | IBM Granite | 0.3 | 0.4 | $0.007 | 0/2 | 575ms |
| #407 | Xing4.0 29b A4b medium | Xingchen AGI | 0.3 | 0.4 | $0.000 | 0/2 | 147.5s |
| #408 | Ling 3.0 Tiny high | Inclusionai | 0.3 | 0.4 | $0.000 | 0/2 | 4.16s |
| #409 | Ling 3.0 Tiny low | Inclusionai | 0.3 | 0.4 | $0.000 | 0/2 | 4.82s |
| #410 | Ling 3.0 Tiny medium | Inclusionai | 0.3 | 0.4 | $0.000 | 0/2 | 4.41s |