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: Tests Correct ↓.
Failure Reasons
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| Rank | Model | Company | Wrong answer Count | Category Score | Total Cost | Tests Correct | Response Time (avg) |
|---|---|---|---|---|---|---|---|
| #189 | gpt-oss-120b medium | OpenAI | 1 | 6.4 | $0.020 | 1/2 | 1.98s |
| #194 | Trinity Large Thinking medium | Arcee AI | 1 | 6.3 | $0.756 | 1/2 | 16.4s |
| #199 | Trinity Large Thinking low | Arcee AI | 1 | 7.3 | $0.625 | 1/2 | 14.3s |
| #213 | Seed 2.1 Turbo none | Bytedance Seed | 1 | 7.1 | $0.092 | 1/2 | 2.63s |
| #225 | KAT-Coder-Air V2.5 high | Kwaipilot | 1 | 6.5 | $0.077 | 1/2 | 3.59s |
| #231 | KAT-Coder-Air V2.5 medium | Kwaipilot | 1 | 6.5 | $0.048 | 1/2 | 3.65s |
| #234 | Qwen3.6 27B none | Qwen | 1 | 7.3 | $0.062 | 1/2 | 2.06s |
| #236 | Qwen3.8 27B none | Qwen | 1 | 6.5 | ~$0.006 | 1/2 | 1.14s |
| #240 | KAT-Coder-Air V2.5 low | Kwaipilot | 1 | 6.5 | $0.046 | 1/2 | 2.82s |
| #243 | Kimi K2.5 none | Moonshot AI | 1 | 7.3 | $0.101 | 1/2 | 42.1s |
| #254 | Granite 4.2 8B medium | IBM Granite | 1 | 6.5 | $0.009 | 1/2 | 1.43s |
| #258 | Granite 4.2 8B low | IBM Granite | 1 | 6.5 | $0.012 | 1/2 | 1.39s |
| #259 | Qwen3 Coder Next none | Qwen | 1 | 6.5 | $0.026 | 1/2 | 1.32s |
| #264 | MiniMax M2.7 medium | Minimax | 1 | 6.3 | $0.208 | 1/2 | 21.9s |
| #265 | Mercury 2.5 Preview low | Inception | 1 | 6.3 | $0.011 | 1/2 | 1.12s |