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) |
|---|---|---|---|---|---|---|---|
| #303 | Granite 4.1 8B none | IBM Granite | 2 | 3.0 | $0.007 | 0/2 | 575ms |
| #286 | Mercury 2 none | Inception | 1 | 7.3 | $0.030 | 1/2 | 667ms |
| #316 | LFM2-24B-A2B none | Liquid | 2 | 3.0 | $0.001 | 0/2 | 714ms |
| #295 | Elephant Alpha medium | Openrouter | 1 | 6.5 | $0.000 | 1/2 | 979ms |
| #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 |
| #296 | Granite 4.2 8B none | IBM Granite | 2 | 2.9 | $0.026 | 0/2 | 1.05s |
| #136 | Mercury 2 medium | Inception | 1 | 7.3 | $0.094 | 1/2 | 1.11s |
| #276 | GPT-5.4 Nano none | OpenAI | 1 | 6.5 | $0.041 | 1/2 | 1.11s |
| #265 | Mercury 2.5 Preview low | Inception | 1 | 6.3 | $0.011 | 1/2 | 1.12s |
| #236 | Qwen3.8 27B none | Qwen | 1 | 6.5 | ~$0.006 | 1/2 | 1.14s |
| #259 | Qwen3 Coder Next none | Qwen | 1 | 6.5 | $0.026 | 1/2 | 1.32s |
| #258 | Granite 4.2 8B low | IBM Granite | 1 | 6.5 | $0.012 | 1/2 | 1.39s |
| #314 | Nemotron 3 Nano Omni 30b A3b Reasoning none | NVIDIA | 2 | 3.8 | $0.000 | 0/2 | 1.42s |
| #254 | Granite 4.2 8B medium | IBM Granite | 1 | 6.5 | $0.009 | 1/2 | 1.43s |