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) |
|---|---|---|---|---|---|---|---|
| #267 | DeepSeek V3.2 none | DeepSeek | 1 | 6.3 | $0.054 | 1/2 | 9.42s |
| #270 | Mercury 2.5 Preview none | Inception | 1 | 6.3 | $0.018 | 1/2 | 1.04s |
| #271 | Ling-2.6-flash none | Inclusionai | 1 | 6.5 | $0.002 | 1/2 | 8.48s |
| #276 | GPT-5.4 Nano none | OpenAI | 1 | 6.5 | $0.041 | 1/2 | 1.11s |
| #277 | Trinity Large Thinking high | Arcee AI | 1 | 6.3 | $0.592 | 1/2 | 14.0s |
| #280 | GLM 4.7 Flash none | Z.ai | 1 | 7.3 | $0.016 | 1/2 | 4.82s |
| #285 | Cobuddy medium | Baidu | 1 | 6.3 | $0.000 | 1/2 | 17.4s |
| #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 |
| #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 |
| #313 | Nemotron 3 Nano Omni 30b A3b Reasoning medium | NVIDIA | 1 | 7.3 | $0.000 | 1/2 | 2.72s |
| #160 | LongCat 2.0 high | Meituan | 1 | 3.6 | $0.492 | 0/2 | 11.0s |
| #178 | MiMo-V2.5 medium | Xiaomi | 1 | 2.7 | $0.104 | 0/2 | 6.33s |
| #204 | GPT-5 Nano medium | OpenAI | 2 | 3.7 | $0.118 | 0/2 | 21.4s |