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
80/80
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| Rank | Model | Company | Wrong answer Count | Category Score | Total Cost | Tests Correct | Response Time (avg) |
|---|---|---|---|---|---|---|---|
| #248 | MiMo-V2.5-Pro medium | Xiaomi | 1 | 0.7 | $0.332 | 1/2 | 18.8s |
| #351 | MiniMax M2.7 medium | Minimax | 1 | 0.6 | $0.326 | 1/2 | 21.9s |
| #141 | Muse Glimmer 30B medium | Meta | 1 | 0.7 | $0.288 | 1/2 | 7.20s |
| #333 | Kimi K2.5 none | Moonshot AI | 1 | 0.7 | $0.262 | 1/2 | 42.1s |
| #368 | Nemotron 3.5 Lightning medium | NVIDIA | 1 | 0.4 | $0.195 | 0/2 | 23.2s |
| #305 | Seed 2.1 Turbo none | Bytedance Seed | 1 | 0.7 | $0.182 | 1/2 | 2.63s |
| #378 | Nemotron 3.5 Lightning low | NVIDIA | 1 | 0.3 | $0.175 | 0/2 | 31.3s |
| #363 | Hy4 preview none | Tencent | 1 | 0.9 | $0.165 | 1/2 | 22.8s |
| #302 | GPT-5 Nano medium | OpenAI | 2 | 0.4 | $0.159 | 0/2 | 21.4s |
| #253 | Qwen3.6 27B none | Qwen | 1 | 0.7 | $0.148 | 1/2 | 2.06s |
| #183 | MiMo-V2.5 medium | Xiaomi | 1 | 0.3 | $0.130 | 0/2 | 6.33s |
| #223 | Mercury 2 medium | Inception | 1 | 0.7 | $0.121 | 1/2 | 1.11s |
| #373 | DeepSeek V3.2 none | DeepSeek | 1 | 0.6 | $0.119 | 1/2 | 9.42s |
| #371 | Granite 4.2 8B high | IBM Granite | 1 | 0.4 | $0.111 | 0/2 | 56.5s |
| #300 | Ring 2.6 1t medium | Inclusionai | 1 | 0.6 | $0.102 | 1/2 | 37.4s |