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
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| Rank | Model | Company | Wrong answer Count | Category Score | Total Cost | Tests Correct | Response Time (avg) |
|---|---|---|---|---|---|---|---|
| #267 | DeepSeek V3.2 none | DeepSeek | 1 | 6.3 | $0.054 | 1/2 | 9.42s |
| #81 | Qwen3.8 27B medium | Qwen | 1 | 6.5 | ~$0.058 | 1/2 | 8.76s |
| #234 | Qwen3.6 27B none | Qwen | 1 | 7.3 | $0.062 | 1/2 | 2.06s |
| #225 | KAT-Coder-Air V2.5 high | Kwaipilot | 1 | 6.5 | $0.077 | 1/2 | 3.59s |
| #287 | Granite 4.2 8B high | IBM Granite | 1 | 3.8 | $0.084 | 0/2 | 56.5s |
| #213 | Seed 2.1 Turbo none | Bytedance Seed | 1 | 7.1 | $0.092 | 1/2 | 2.63s |
| #136 | Mercury 2 medium | Inception | 1 | 7.3 | $0.094 | 1/2 | 1.11s |
| #243 | Kimi K2.5 none | Moonshot AI | 1 | 7.3 | $0.101 | 1/2 | 42.1s |
| #180 | Ring-2.6-1T medium | Inclusionai | 1 | 6.5 | $0.102 | 1/2 | 37.4s |
| #178 | MiMo-V2.5 medium | Xiaomi | 1 | 2.7 | $0.104 | 0/2 | 6.33s |
| #204 | GPT-5 Nano medium | OpenAI | 2 | 3.7 | $0.118 | 0/2 | 21.4s |
| #275 | Nemotron 3.5 Lightning low | NVIDIA | 1 | 2.9 | $0.140 | 0/2 | 31.3s |
| #255 | Nemotron 3.5 Lightning medium | NVIDIA | 1 | 3.7 | $0.156 | 0/2 | 23.2s |
| #264 | MiniMax M2.7 medium | Minimax | 1 | 6.3 | $0.208 | 1/2 | 21.9s |
| #126 | Muse Glimmer 30B medium | Meta | 1 | 7.3 | $0.211 | 1/2 | 7.20s |