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.
Failure Reasons
80/80
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| Rank | Model | Company | Wrong answer Count | Category Score | Total Cost | Tests Correct | Response Time (avg) |
|---|---|---|---|---|---|---|---|
| #346 | KAT Coder AIR V2.5 medium | Kwaipilot | 1 | 0.6 | $0.048 | 1/2 | 3.65s |
| #350 | Mercury 2.5 Preview low | Inception | 1 | 0.6 | $0.015 | 1/2 | 1.12s |
| #351 | MiniMax M2.7 medium | Minimax | 1 | 0.6 | $0.326 | 1/2 | 21.9s |
| #354 | KAT Coder AIR V2.5 low | Kwaipilot | 1 | 0.6 | $0.046 | 1/2 | 2.82s |
| #357 | Qwen3 Coder Next default | Qwen | 1 | 0.6 | $0.067 | 1/2 | 1.32s |
| #363 | Hy4 preview none | Tencent | 1 | 0.9 | $0.165 | 1/2 | 22.8s |
| #366 | GLM 4.7 Flash none | Z.ai | 1 | 0.7 | $0.027 | 1/2 | 4.82s |
| #367 | Mercury 2.5 Preview default | Inception | 1 | 0.6 | $0.023 | 1/2 | 1.04s |
| #368 | Nemotron 3.5 Lightning medium | NVIDIA | 1 | 0.4 | $0.195 | 0/2 | 23.2s |
| #371 | Granite 4.2 8B high | IBM Granite | 1 | 0.4 | $0.111 | 0/2 | 56.5s |
| #372 | Qwen3 Coder Next medium | Qwen | 1 | 0.6 | $0.071 | 1/2 | 81.8s |
| #373 | DeepSeek V3.2 none | DeepSeek | 1 | 0.6 | $0.119 | 1/2 | 9.42s |
| #374 | GPT-5.4 Nano none | OpenAI | 1 | 0.6 | $0.068 | 1/2 | 1.11s |
| #378 | Nemotron 3.5 Lightning low | NVIDIA | 1 | 0.3 | $0.175 | 0/2 | 31.3s |
| #382 | Ling 2.6 Flash default | Inclusionai | 1 | 0.6 | $0.002 | 1/2 | 8.48s |