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.
Failure Reasons
59/59
Filter models
No models match the current search and filters.
| Rank | Model | Company | Wrong answer Count | Category Score | Total Cost | Tests Correct | Response Time (avg) |
|---|---|---|---|---|---|---|---|
| #140 | KAT-Coder-Pro V2.5 medium | Kwaipilot | 1 | 7.3 | $0.478 | 1/2 | 4.70s |
| #152 | MiMo-V2.5-Pro medium | Xiaomi | 1 | 7.3 | $0.221 | 1/2 | 18.8s |
| #160 | LongCat 2.0 high | Meituan | 1 | 3.6 | $0.492 | 0/2 | 11.0s |
| #175 | Dots 3 Note Preview low | Dots Studio | 1 | 7.3 | $0.000 | 1/2 | 11.5s |
| #176 | Dots 3 Note Preview high | Dots Studio | 1 | 7.3 | $0.000 | 1/2 | 12.7s |
| #178 | MiMo-V2.5 medium | Xiaomi | 1 | 2.7 | $0.104 | 0/2 | 6.33s |
| #179 | Ling-3.0-flash high | Inclusionai | 1 | 7.3 | $0.021 | 1/2 | 7.15s |
| #180 | Ring-2.6-1T medium | Inclusionai | 1 | 6.5 | $0.102 | 1/2 | 37.4s |
| #181 | Mimo V2 PRO medium | Xiaomi | 1 | 7.3 | $0.333 | 1/2 | 17.2s |
| #189 | gpt-oss-120b medium | OpenAI | 1 | 6.4 | $0.020 | 1/2 | 1.98s |
| #194 | Trinity Large Thinking medium | Arcee AI | 1 | 6.3 | $0.756 | 1/2 | 16.4s |
| #199 | Trinity Large Thinking low | Arcee AI | 1 | 7.3 | $0.625 | 1/2 | 14.3s |
| #208 | Dots 3 Note Preview medium | Dots Studio | 1 | 4.5 | $0.000 | 0/2 | 78.5s |
| #213 | Seed 2.1 Turbo none | Bytedance Seed | 1 | 7.1 | $0.092 | 1/2 | 2.63s |
| #225 | KAT-Coder-Air V2.5 high | Kwaipilot | 1 | 6.5 | $0.077 | 1/2 | 3.59s |