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
80/80
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| Rank | Model | Company | Wrong answer Count | Category Score | Total Cost | Tests Correct | Response Time (avg) |
|---|---|---|---|---|---|---|---|
| #429 | Nemotron 3 Nano Omni 30b A3b Reasoning medium | NVIDIA | 1 | 0.7 | $0.000 | 1/2 | 2.72s |
| #305 | Seed 2.1 Turbo none | Bytedance Seed | 1 | 0.7 | $0.182 | 1/2 | 2.63s |
| #176 | Step 3.7 Flash low | Stepfun | 1 | 0.7 | $0.449 | 1/2 | 2.29s |
| #172 | Claude Opus 4.8 low | Anthropic | 1 | 0.6 | $3.787 | 1/2 | 2.27s |
| #253 | Qwen3.6 27B none | Qwen | 1 | 0.7 | $0.148 | 1/2 | 2.06s |
| #289 | gpt-oss-120b medium | OpenAI | 1 | 0.6 | $0.030 | 1/2 | 1.98s |
| #200 | Claude Opus 4.8 none | Anthropic | 1 | 0.7 | $2.334 | 1/2 | 1.77s |
| #280 | Granite 4.2 8B medium | IBM Granite | 1 | 0.7 | $0.029 | 1/2 | 1.43s |
| #431 | Nemotron 3 Nano Omni 30b A3b Reasoning default | NVIDIA | 2 | 0.4 | $0.000 | 0/2 | 1.42s |
| #332 | Granite 4.2 8B low | IBM Granite | 1 | 0.7 | $0.036 | 1/2 | 1.39s |
| #357 | Qwen3 Coder Next default | Qwen | 1 | 0.6 | $0.067 | 1/2 | 1.32s |
| #447 | Microsoft-Decision-1 default | Microsoft | 2 | 0.3 | $0.002 | 0/2 | 1.16s |
| #324 | Qwen3.8 27B none | Qwen | 1 | 0.6 | ~$0.010 | 1/2 | 1.14s |
| #350 | Mercury 2.5 Preview low | Inception | 1 | 0.6 | $0.015 | 1/2 | 1.12s |
| #374 | GPT-5.4 Nano none | OpenAI | 1 | 0.6 | $0.068 | 1/2 | 1.11s |