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: Response Time (avg) ↓.
Failure Reasons
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| Rank | Model | Company | Wrong answer Count | Category Score | Total Cost | Tests Correct | Response Time (avg) |
|---|---|---|---|---|---|---|---|
| #199 | Trinity Large Thinking low | Arcee AI | 1 | 7.3 | $0.625 | 1/2 | 14.3s |
| #277 | Trinity Large Thinking high | Arcee AI | 1 | 6.3 | $0.592 | 1/2 | 14.0s |
| #176 | Dots 3 Note Preview high | Dots Studio | 1 | 7.3 | $0.000 | 1/2 | 12.7s |
| #36 | Claude Opus 4.8 medium | Anthropic | 1 | 7.1 | $1.983 | 1/2 | 12.3s |
| #175 | Dots 3 Note Preview low | Dots Studio | 1 | 7.3 | $0.000 | 1/2 | 11.5s |
| #160 | LongCat 2.0 high | Meituan | 1 | 3.6 | $0.492 | 0/2 | 11.0s |
| #267 | DeepSeek V3.2 none | DeepSeek | 1 | 6.3 | $0.054 | 1/2 | 9.42s |
| #305 | Grok Build 0.1 none | X AI | 1 | 3.8 | $0.547 | 0/2 | 9.33s |
| #81 | Qwen3.8 27B medium | Qwen | 1 | 6.5 | ~$0.058 | 1/2 | 8.76s |
| #271 | Ling-2.6-flash none | Inclusionai | 1 | 6.5 | $0.002 | 1/2 | 8.48s |
| #289 | MiniMax M2.5 medium | Minimax | 2 | 4.6 | $0.327 | 0/2 | 7.48s |
| #126 | Muse Glimmer 30B medium | Meta | 1 | 7.3 | $0.211 | 1/2 | 7.20s |
| #179 | Ling-3.0-flash high | Inclusionai | 1 | 7.3 | $0.021 | 1/2 | 7.15s |
| #178 | MiMo-V2.5 medium | Xiaomi | 1 | 2.7 | $0.104 | 0/2 | 6.33s |
| #280 | GLM 4.7 Flash none | Z.ai | 1 | 7.3 | $0.016 | 1/2 | 4.82s |