Wrong answer Failures
See which AI models run into Wrong answer most often, so you can spot reliability risks before choosing one. Sort by: Tests Correct ↑.
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| Rank | Model | Company | Wrong answer Count | Score | Total Cost | Tests Correct | Response Time (avg) |
|---|---|---|---|---|---|---|---|
| #418 | Hunter Alpha default | OpenRouter | 9 | 0.3 | $0.000 | 6/18 | 4.70s |
| #419 | Grok 4.20 none | X AI | 10 | 0.3 | $0.057 | 6/18 | 1.11s |
| #433 | d1-ultra default | Liquid | 7 | 0.3 | $0.003 | 4/12 | 531ms |
| #437 | Decider V1.1 27B default | Perplexity | 8 | 0.3 | $0.002 | 4/12 | 320ms |
| #438 | Drex v1.5 default | Nace AI | 8 | 0.2 | $0.002 | 4/12 | 986ms |
| #441 | Jev 1.14 default | Typesafe | 7 | 0.2 | $0.003 | 4/12 | 377ms |
| #213 | Qwen3.5-Flash none | Qwen | 14 | 0.7 | $0.089 | 8/23 | 26.5s |
| #254 | LongCat 2.0 none | Meituan | 13 | 0.6 | $0.104 | 8/23 | 8.50s |
| #256 | Qwen3.6 27B none | Qwen | 11 | 0.6 | $0.148 | 8/23 | 12.7s |
| #259 | Minimax M3.1 Flash medium | Minimax | 9 | 0.6 | $0.000 | 8/23 | 19.5s |
| #267 | Trinity Large Thinking low | Arcee AI | 7 | 0.6 | $0.918 | 8/23 | 95.2s |
| #278 | Trinity Large Thinking medium | Arcee AI | 9 | 0.6 | $0.862 | 8/23 | 84.0s |
| #281 | Qwen3.5 Plus 2026-04-20 none | Qwen | 12 | 0.6 | $0.216 | 8/23 | 18.5s |
| #283 | Granite 4.2 8B medium | IBM Granite | 9 | 0.6 | $0.029 | 8/23 | 50.5s |
| #290 | Seed-2.0-Lite none | Bytedance Seed | 14 | 0.6 | $0.114 | 8/23 | 7.49s |