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.
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| Rank | Model | Company | Data parsing and extraction Score | Score | Total Cost | Tests Correct | Response Time (avg) |
|---|---|---|---|---|---|---|---|
| #354 | Command A+ low | Cohere | 3.0 | 3.0 | $0.000 | 0/2 | 85.4s |
| #355 | Command A+ medium | Cohere | 3.0 | 3.0 | $0.000 | 0/2 | 92.9s |
| #356 | Command A+ none | Cohere | 3.0 | 3.0 | $0.000 | 0/2 | 62.6s |
| #358 | LFM2-24B-A2B none | Liquid | 3.0 | 2.2 | $0.001 | 0/2 | 714ms |
| #311 | Nemotron 3.5 Lightning low | NVIDIA | 2.9 | 4.8 | $0.139 | 0/2 | 31.3s |
| #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 |
| #342 | Mercury 2.5 none | Inception | 2.8 | 3.9 | $0.016 | 0/2 | 885ms |
| #343 | Ling 3.0 Tiny high | Inclusionai | 2.8 | 3.8 | $0.000 | 0/2 | 4.16s |
| #344 | Ling 3.0 Tiny low | Inclusionai | 2.8 | 3.8 | $0.000 | 0/2 | 4.82s |
| #208 | MiMo-V2.5 medium | Xiaomi | 2.7 | 6.4 | $0.104 | 0/2 | 6.33s |
| #347 | Ling 3.0 Tiny medium | Inclusionai | 2.7 | 3.8 | $0.000 | 0/2 | 4.41s |
| #357 | Step 3.5 Flash none | Stepfun | 1.5 | 2.3 | $0.020 | 0/1 | 0ms |
| #359 | Claude Opus 5.5 none | Anthropic | 0.0 | 1.8 | $0.015 | 0/0 | 0ms |