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) |
|---|---|---|---|---|---|---|---|
| #102 | LongCat 2.0 high | Meituan | 1 | 3.6 | $0.469 | 0/2 | 11.0s |
| #107 | MiMo-V2.5 medium | Xiaomi | 1 | 2.7 | $0.082 | 0/2 | 6.33s |
| #134 | GPT-5 Nano medium | OpenAI | 2 | 3.7 | $0.114 | 0/2 | 21.4s |
| #185 | Ring-2.6-1T none | Inclusionai | 1 | 3.0 | $0.026 | 0/2 | 45.9s |
| #196 | MiniMax M2.5 medium | Minimax | 2 | 4.6 | $0.340 | 0/2 | 7.48s |
| #207 | Granite 4.1 8B none | IBM Granite | 2 | 3.0 | $0.007 | 0/2 | 575ms |
| #208 | Grok Build 0.1 none | X AI | 1 | 3.8 | $0.547 | 0/2 | 9.33s |
| #214 | Nemotron 3 Nano Omni 30b A3b Reasoning none | NVIDIA | 2 | 3.8 | $0.000 | 0/2 | 1.42s |
| #216 | LFM2-24B-A2B none | Liquid | 2 | 3.0 | $0.001 | 0/2 | 714ms |
| #17 | Claude Opus 4.8 medium | Anthropic | 1 | 7.1 | $1.931 | 1/2 | 12.3s |
| #45 | Claude Opus 4.8 low | Anthropic | 1 | 6.3 | $2.077 | 1/2 | 2.27s |
| #70 | Claude Opus 4.8 none | Anthropic | 1 | 7.3 | $1.166 | 1/2 | 1.77s |
| #71 | Step 3.7 Flash low | Stepfun | 1 | 7.3 | $0.454 | 1/2 | 2.29s |
| #82 | Mercury 2 medium | Inception | 1 | 7.3 | $0.093 | 1/2 | 1.11s |
| #85 | KAT-Coder-Pro V2.5 medium | Kwaipilot | 1 | 7.3 | $0.467 | 1/2 | 4.70s |