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
80/80
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| Rank | Model | Company | Wrong answer Count | Category Score | Total Cost | Tests Correct | Response Time (avg) |
|---|---|---|---|---|---|---|---|
| #264 | Trinity Large Thinking low | Arcee AI | 1 | 0.7 | $0.918 | 1/2 | 14.3s |
| #136 | Muse Glimmer 30B high | Meta | 1 | 0.7 | $0.506 | 1/2 | 14.9s |
| #275 | Trinity Large Thinking medium | Arcee AI | 1 | 0.6 | $0.862 | 1/2 | 16.4s |
| #341 | Mimo V2 PRO medium | Xiaomi | 1 | 0.7 | $0.333 | 1/2 | 17.2s |
| #390 | Cobuddy medium | Baidu | 1 | 0.6 | $0.000 | 1/2 | 17.4s |
| #154 | Seed-2.0-Code medium | Bytedance Seed | 1 | 0.7 | $1.275 | 1/2 | 18.8s |
| #248 | MiMo-V2.5-Pro medium | Xiaomi | 1 | 0.7 | $0.332 | 1/2 | 18.8s |
| #302 | GPT-5 Nano medium | OpenAI | 2 | 0.4 | $0.159 | 0/2 | 21.4s |
| #351 | MiniMax M2.7 medium | Minimax | 1 | 0.6 | $0.326 | 1/2 | 21.9s |
| #363 | Hy4 preview none | Tencent | 1 | 0.9 | $0.165 | 1/2 | 22.8s |
| #368 | Nemotron 3.5 Lightning medium | NVIDIA | 1 | 0.4 | $0.195 | 0/2 | 23.2s |
| #378 | Nemotron 3.5 Lightning low | NVIDIA | 1 | 0.3 | $0.175 | 0/2 | 31.3s |
| #300 | Ring 2.6 1t medium | Inclusionai | 1 | 0.6 | $0.102 | 1/2 | 37.4s |
| #333 | Kimi K2.5 none | Moonshot AI | 1 | 0.7 | $0.262 | 1/2 | 42.1s |
| #384 | Ring 2.6 1t default | Inclusionai | 1 | 0.3 | $0.026 | 0/2 | 45.9s |