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: Total Cost ↑.
Failure Reasons
80/80
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| Rank | Model | Company | Wrong answer Count | Category Score | Total Cost | Tests Correct | Response Time (avg) |
|---|---|---|---|---|---|---|---|
| #368 | Nemotron 3.5 Lightning medium | NVIDIA | 1 | 0.4 | $0.195 | 0/2 | 23.2s |
| #333 | Kimi K2.5 none | Moonshot AI | 1 | 0.7 | $0.262 | 1/2 | 42.1s |
| #141 | Muse Glimmer 30B medium | Meta | 1 | 0.7 | $0.288 | 1/2 | 7.20s |
| #351 | MiniMax M2.7 medium | Minimax | 1 | 0.6 | $0.326 | 1/2 | 21.9s |
| #248 | MiMo-V2.5-Pro medium | Xiaomi | 1 | 0.7 | $0.332 | 1/2 | 18.8s |
| #341 | Mimo V2 PRO medium | Xiaomi | 1 | 0.7 | $0.333 | 1/2 | 17.2s |
| #393 | MiniMax M2.5 medium | Minimax | 2 | 0.5 | $0.440 | 0/2 | 7.48s |
| #176 | Step 3.7 Flash low | Stepfun | 1 | 0.7 | $0.449 | 1/2 | 2.29s |
| #136 | Muse Glimmer 30B high | Meta | 1 | 0.7 | $0.506 | 1/2 | 14.9s |
| #422 | Grok Build 0.1 none | X AI | 1 | 0.4 | $0.547 | 0/2 | 9.33s |
| #268 | KAT-Coder-Pro V2.5 medium | Kwaipilot | 1 | 0.7 | $0.669 | 1/2 | 4.70s |
| #165 | LongCat 2.0 high | Meituan | 1 | 0.4 | $0.778 | 0/2 | 11.0s |
| #301 | Trinity Large Thinking high | Arcee AI | 1 | 0.6 | $0.794 | 1/2 | 14.0s |
| #275 | Trinity Large Thinking medium | Arcee AI | 1 | 0.6 | $0.862 | 1/2 | 16.4s |
| #264 | Trinity Large Thinking low | Arcee AI | 1 | 0.7 | $0.918 | 1/2 | 14.3s |