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) |
|---|---|---|---|---|---|---|---|
| #172 | Claude Opus 4.8 low | Anthropic | 1 | 0.6 | $3.787 | 1/2 | 2.27s |
| #96 | Claude Opus 4.8 medium | Anthropic | 1 | 0.7 | $3.490 | 1/2 | 12.3s |
| #200 | Claude Opus 4.8 none | Anthropic | 1 | 0.7 | $2.334 | 1/2 | 1.77s |
| #326 | Hy4 preview low | Tencent | 1 | 0.9 | $1.844 | 1/2 | 88.5s |
| #154 | Seed-2.0-Code medium | Bytedance Seed | 1 | 0.7 | $1.275 | 1/2 | 18.8s |
| #264 | Trinity Large Thinking low | Arcee AI | 1 | 0.7 | $0.918 | 1/2 | 14.3s |
| #275 | Trinity Large Thinking medium | Arcee AI | 1 | 0.6 | $0.862 | 1/2 | 16.4s |
| #301 | Trinity Large Thinking high | Arcee AI | 1 | 0.6 | $0.794 | 1/2 | 14.0s |
| #165 | LongCat 2.0 high | Meituan | 1 | 0.4 | $0.778 | 0/2 | 11.0s |
| #268 | KAT-Coder-Pro V2.5 medium | Kwaipilot | 1 | 0.7 | $0.669 | 1/2 | 4.70s |
| #422 | Grok Build 0.1 none | X AI | 1 | 0.4 | $0.547 | 0/2 | 9.33s |
| #136 | Muse Glimmer 30B high | Meta | 1 | 0.7 | $0.506 | 1/2 | 14.9s |
| #176 | Step 3.7 Flash low | Stepfun | 1 | 0.7 | $0.449 | 1/2 | 2.29s |
| #393 | MiniMax M2.5 medium | Minimax | 2 | 0.5 | $0.440 | 0/2 | 7.48s |
| #341 | Mimo V2 PRO medium | Xiaomi | 1 | 0.7 | $0.333 | 1/2 | 17.2s |