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) |
|---|---|---|---|---|---|---|---|
| #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 |
| #126 | Muse Glimmer 30B medium | Meta | 1 | 7.3 | $0.211 | 1/2 | 7.20s |
| #289 | MiniMax M2.5 medium | Minimax | 2 | 4.6 | $0.327 | 0/2 | 7.48s |
| #271 | Ling-2.6-flash none | Inclusionai | 1 | 6.5 | $0.002 | 1/2 | 8.48s |
| #81 | Qwen3.8 27B medium | Qwen | 1 | 6.5 | ~$0.058 | 1/2 | 8.76s |
| #305 | Grok Build 0.1 none | X AI | 1 | 3.8 | $0.547 | 0/2 | 9.33s |
| #267 | DeepSeek V3.2 none | DeepSeek | 1 | 6.3 | $0.054 | 1/2 | 9.42s |
| #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 |
| #36 | Claude Opus 4.8 medium | Anthropic | 1 | 7.1 | $1.983 | 1/2 | 12.3s |
| #176 | Dots 3 Note Preview high | Dots Studio | 1 | 7.3 | $0.000 | 1/2 | 12.7s |
| #277 | Trinity Large Thinking high | Arcee AI | 1 | 6.3 | $0.592 | 1/2 | 14.0s |
| #199 | Trinity Large Thinking low | Arcee AI | 1 | 7.3 | $0.625 | 1/2 | 14.3s |
| #123 | Muse Glimmer 30B high | Meta | 1 | 7.3 | $0.397 | 1/2 | 14.9s |