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) |
|---|---|---|---|---|---|---|---|
| #254 | Granite 4.2 8B medium | IBM Granite | 1 | 6.5 | $0.009 | 1/2 | 1.43s |
| #265 | Mercury 2.5 Preview low | Inception | 1 | 6.3 | $0.011 | 1/2 | 1.12s |
| #258 | Granite 4.2 8B low | IBM Granite | 1 | 6.5 | $0.012 | 1/2 | 1.39s |
| #280 | GLM 4.7 Flash none | Z.ai | 1 | 7.3 | $0.016 | 1/2 | 4.82s |
| #270 | Mercury 2.5 Preview none | Inception | 1 | 6.3 | $0.018 | 1/2 | 1.04s |
| #189 | gpt-oss-120b medium | OpenAI | 1 | 6.4 | $0.020 | 1/2 | 1.98s |
| #179 | Ling-3.0-flash high | Inclusionai | 1 | 7.3 | $0.021 | 1/2 | 7.15s |
| #296 | Granite 4.2 8B none | IBM Granite | 2 | 2.9 | $0.026 | 0/2 | 1.05s |
| #259 | Qwen3 Coder Next none | Qwen | 1 | 6.5 | $0.026 | 1/2 | 1.32s |
| #274 | Ring-2.6-1T none | Inclusionai | 1 | 3.0 | $0.026 | 0/2 | 45.9s |
| #286 | Mercury 2 none | Inception | 1 | 7.3 | $0.030 | 1/2 | 667ms |
| #288 | Qwen3 Coder Next medium | Qwen | 1 | 6.5 | $0.034 | 1/2 | 81.8s |
| #276 | GPT-5.4 Nano none | OpenAI | 1 | 6.5 | $0.041 | 1/2 | 1.11s |
| #240 | KAT-Coder-Air V2.5 low | Kwaipilot | 1 | 6.5 | $0.046 | 1/2 | 2.82s |
| #231 | KAT-Coder-Air V2.5 medium | Kwaipilot | 1 | 6.5 | $0.048 | 1/2 | 3.65s |