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: Response Time (avg) ↓.
Failure Reasons
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| Rank | Model | Company | Wrong answer Count | Category Score | Total Cost | Tests Correct | Response Time (avg) |
|---|---|---|---|---|---|---|---|
| #314 | Nemotron 3 Nano Omni 30b A3b Reasoning none | NVIDIA | 2 | 3.8 | $0.000 | 0/2 | 1.42s |
| #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 |
| #236 | Qwen3.8 27B none | Qwen | 1 | 6.5 | ~$0.006 | 1/2 | 1.14s |
| #265 | Mercury 2.5 Preview low | Inception | 1 | 6.3 | $0.011 | 1/2 | 1.12s |
| #276 | GPT-5.4 Nano none | OpenAI | 1 | 6.5 | $0.041 | 1/2 | 1.11s |
| #136 | Mercury 2 medium | Inception | 1 | 7.3 | $0.094 | 1/2 | 1.11s |
| #296 | Granite 4.2 8B none | IBM Granite | 2 | 2.9 | $0.026 | 0/2 | 1.05s |
| #270 | Mercury 2.5 Preview none | Inception | 1 | 6.3 | $0.018 | 1/2 | 1.04s |
| #293 | Elephant Alpha none | Openrouter | 1 | 6.5 | $0.000 | 1/2 | 1.04s |
| #295 | Elephant Alpha medium | Openrouter | 1 | 6.5 | $0.000 | 1/2 | 979ms |
| #316 | LFM2-24B-A2B none | Liquid | 2 | 3.0 | $0.001 | 0/2 | 714ms |
| #286 | Mercury 2 none | Inception | 1 | 7.3 | $0.030 | 1/2 | 667ms |
| #303 | Granite 4.1 8B none | IBM Granite | 2 | 3.0 | $0.007 | 0/2 | 575ms |