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
80/80
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| Rank | Model | Company | Wrong answer Count | Category Score | Total Cost | Tests Correct | Response Time (avg) |
|---|---|---|---|---|---|---|---|
| #357 | Qwen3 Coder Next default | Qwen | 1 | 0.6 | $0.067 | 1/2 | 1.32s |
| #374 | GPT-5.4 Nano none | OpenAI | 1 | 0.6 | $0.068 | 1/2 | 1.11s |
| #372 | Qwen3 Coder Next medium | Qwen | 1 | 0.6 | $0.071 | 1/2 | 81.8s |
| #170 | Qwen3.8 27B medium | Qwen | 1 | 0.6 | ~$0.073 | 1/2 | 8.76s |
| #340 | KAT Coder AIR V2.5 high | Kwaipilot | 1 | 0.6 | $0.077 | 1/2 | 3.59s |
| #300 | Ring 2.6 1t medium | Inclusionai | 1 | 0.6 | $0.102 | 1/2 | 37.4s |
| #371 | Granite 4.2 8B high | IBM Granite | 1 | 0.4 | $0.111 | 0/2 | 56.5s |
| #373 | DeepSeek V3.2 none | DeepSeek | 1 | 0.6 | $0.119 | 1/2 | 9.42s |
| #223 | Mercury 2 medium | Inception | 1 | 0.7 | $0.121 | 1/2 | 1.11s |
| #183 | MiMo-V2.5 medium | Xiaomi | 1 | 0.3 | $0.130 | 0/2 | 6.33s |
| #253 | Qwen3.6 27B none | Qwen | 1 | 0.7 | $0.148 | 1/2 | 2.06s |
| #302 | GPT-5 Nano medium | OpenAI | 2 | 0.4 | $0.159 | 0/2 | 21.4s |
| #363 | Hy4 preview none | Tencent | 1 | 0.9 | $0.165 | 1/2 | 22.8s |
| #378 | Nemotron 3.5 Lightning low | NVIDIA | 1 | 0.3 | $0.175 | 0/2 | 31.3s |
| #305 | Seed 2.1 Turbo none | Bytedance Seed | 1 | 0.7 | $0.182 | 1/2 | 2.63s |