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.
Failure Reasons
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| Rank | Model | Company | Wrong answer Count | Category Score | Total Cost | Tests Correct | Response Time (avg) |
|---|---|---|---|---|---|---|---|
| #204 | GPT-5 Nano medium | OpenAI | 2 | 3.7 | $0.118 | 0/2 | 21.4s |
| #289 | MiniMax M2.5 medium | Minimax | 2 | 4.6 | $0.327 | 0/2 | 7.48s |
| #296 | Granite 4.2 8B none | IBM Granite | 2 | 2.9 | $0.026 | 0/2 | 1.05s |
| #303 | Granite 4.1 8B none | IBM Granite | 2 | 3.0 | $0.007 | 0/2 | 575ms |
| #306 | Ling 3.0 Tiny high | Inclusionai | 2 | 2.8 | $0.000 | 0/2 | 4.16s |
| #314 | Nemotron 3 Nano Omni 30b A3b Reasoning none | NVIDIA | 2 | 3.8 | $0.000 | 0/2 | 1.42s |
| #316 | LFM2-24B-A2B none | Liquid | 2 | 3.0 | $0.001 | 0/2 | 714ms |
| #36 | Claude Opus 4.8 medium | Anthropic | 1 | 7.1 | $1.983 | 1/2 | 12.3s |
| #81 | Qwen3.8 27B medium | Qwen | 1 | 6.5 | ~$0.058 | 1/2 | 8.76s |
| #83 | Claude Opus 4.8 low | Anthropic | 1 | 6.3 | $2.089 | 1/2 | 2.27s |
| #120 | Claude Opus 4.8 none | Anthropic | 1 | 7.3 | $1.166 | 1/2 | 1.77s |
| #123 | Muse Glimmer 30B high | Meta | 1 | 7.3 | $0.397 | 1/2 | 14.9s |
| #126 | Muse Glimmer 30B medium | Meta | 1 | 7.3 | $0.211 | 1/2 | 7.20s |
| #129 | Step 3.7 Flash low | Stepfun | 1 | 7.3 | $0.390 | 1/2 | 2.29s |
| #136 | Mercury 2 medium | Inception | 1 | 7.3 | $0.094 | 1/2 | 1.11s |