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) |
|---|---|---|---|---|---|---|---|
| #188 | Cobuddy medium | Baidu | 1 | 6.3 | $0.000 | 1/2 | 17.4s |
| #193 | Elephant Alpha none | Openrouter | 1 | 6.5 | $0.000 | 1/2 | 1.04s |
| #195 | Elephant Alpha medium | Openrouter | 1 | 6.5 | $0.000 | 1/2 | 979ms |
| #207 | Nemotron 3 Nano Omni 30b A3b Reasoning medium | NVIDIA | 1 | 7.3 | $0.000 | 1/2 | 2.72s |
| #208 | Nemotron 3 Nano Omni 30b A3b Reasoning none | NVIDIA | 2 | 3.8 | $0.000 | 0/2 | 1.42s |
| #210 | LFM2-24B-A2B none | Liquid | 2 | 3.0 | $0.001 | 0/2 | 714ms |
| #178 | Ling-2.6-flash none | Inclusionai | 1 | 6.5 | $0.002 | 1/2 | 8.48s |
| #201 | Granite 4.1 8B none | IBM Granite | 2 | 3.0 | $0.007 | 0/2 | 575ms |
| #176 | GLM 4.7 Flash none | Z.ai | 1 | 7.3 | $0.016 | 1/2 | 4.82s |
| #121 | gpt-oss-120b medium | OpenAI | 1 | 6.4 | $0.019 | 1/2 | 1.98s |
| #166 | Qwen3 Coder Next none | Qwen | 1 | 6.5 | $0.025 | 1/2 | 1.32s |
| #179 | Ring-2.6-1T none | Inclusionai | 1 | 3.0 | $0.026 | 0/2 | 45.9s |
| #189 | Mercury 2 none | Inception | 1 | 7.3 | $0.030 | 1/2 | 667ms |
| #187 | Qwen3 Coder Next medium | Qwen | 1 | 6.5 | $0.032 | 1/2 | 81.8s |
| #180 | GPT-5.4 Nano none | OpenAI | 1 | 6.5 | $0.041 | 1/2 | 1.11s |