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) |
|---|---|---|---|---|---|---|---|
| #158 | Qwen3.6 27B none | Qwen | 1 | 7.3 | $0.087 | 1/2 | 2.06s |
| #107 | MiMo-V2.5 medium | Xiaomi | 1 | 2.7 | $0.082 | 0/2 | 6.33s |
| #150 | KAT-Coder-Air V2.5 high | Kwaipilot | 1 | 6.5 | $0.077 | 1/2 | 3.59s |
| #179 | DeepSeek V3.2 none | DeepSeek | 1 | 6.3 | $0.054 | 1/2 | 9.42s |
| #155 | KAT-Coder-Air V2.5 medium | Kwaipilot | 1 | 6.5 | $0.048 | 1/2 | 3.65s |
| #164 | KAT-Coder-Air V2.5 low | Kwaipilot | 1 | 6.5 | $0.041 | 1/2 | 2.82s |
| #186 | GPT-5.4 Nano none | OpenAI | 1 | 6.5 | $0.041 | 1/2 | 1.11s |
| #193 | Qwen3 Coder Next medium | Qwen | 1 | 6.5 | $0.032 | 1/2 | 81.8s |
| #195 | Mercury 2 none | Inception | 1 | 7.3 | $0.030 | 1/2 | 667ms |
| #185 | Ring-2.6-1T none | Inclusionai | 1 | 3.0 | $0.026 | 0/2 | 45.9s |
| #172 | Qwen3 Coder Next none | Qwen | 1 | 6.5 | $0.025 | 1/2 | 1.32s |
| #127 | gpt-oss-120b medium | OpenAI | 1 | 6.4 | $0.019 | 1/2 | 1.98s |
| #182 | GLM 4.7 Flash none | Z.ai | 1 | 7.3 | $0.016 | 1/2 | 4.82s |
| #207 | Granite 4.1 8B none | IBM Granite | 2 | 3.0 | $0.007 | 0/2 | 575ms |
| #184 | Ling-2.6-flash none | Inclusionai | 1 | 6.5 | $0.002 | 1/2 | 8.48s |