Data parsing and extraction: Wrong answer
Data parsing and extraction
Wrong answer
See which AI models are most likely to hit Wrong answer on Data parsing and extraction, so you can spot weak points faster. Sort by: Tests Correct ↓.
Failure Reasons
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| Rank | Model | Company | Wrong answer Count | Category Score | Total Cost | Tests Correct | Response Time (avg) |
|---|---|---|---|---|---|---|---|
| #208 | Dots 3 Note Preview medium | Dots Studio | 1 | 4.5 | $0.000 | 0/2 | 78.5s |
| #255 | Nemotron 3.5 Lightning medium | NVIDIA | 1 | 3.7 | $0.156 | 0/2 | 23.2s |
| #274 | Ring-2.6-1T none | Inclusionai | 1 | 3.0 | $0.026 | 0/2 | 45.9s |
| #275 | Nemotron 3.5 Lightning low | NVIDIA | 1 | 2.9 | $0.140 | 0/2 | 31.3s |
| #287 | Granite 4.2 8B high | IBM Granite | 1 | 3.8 | $0.084 | 0/2 | 56.5s |
| #289 | MiniMax M2.5 medium | Minimax | 2 | 4.6 | $0.327 | 0/2 | 7.48s |
| #296 | Granite 4.2 8B none | IBM Granite | 2 | 2.9 | $0.026 | 0/2 | 1.05s |
| #303 | Granite 4.1 8B none | IBM Granite | 2 | 3.0 | $0.007 | 0/2 | 575ms |
| #305 | Grok Build 0.1 none | X AI | 1 | 3.8 | $0.547 | 0/2 | 9.33s |
| #306 | Ling 3.0 Tiny high | Inclusionai | 2 | 2.8 | $0.000 | 0/2 | 4.16s |
| #307 | Ling 3.0 Tiny low | Inclusionai | 1 | 2.8 | $0.000 | 0/2 | 4.82s |
| #310 | Ling 3.0 Tiny medium | Inclusionai | 1 | 2.7 | $0.000 | 0/2 | 4.41s |
| #314 | Nemotron 3 Nano Omni 30b A3b Reasoning none | NVIDIA | 2 | 3.8 | $0.000 | 0/2 | 1.42s |
| #316 | LFM2-24B-A2B none | Liquid | 2 | 3.0 | $0.001 | 0/2 | 714ms |