Coding: Wrong answer
Coding
Wrong answer
See which AI models are most likely to hit Wrong answer on Coding, 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) |
|---|---|---|---|---|---|---|---|
| #240 | GLM 5 Turbo none | Z.ai | 3 | 3.9 | $0.047 | 0/3 | 2.41s |
| #241 | North Mini Code none | Cohere | 3 | 3.9 | $0.000 | 0/3 | 22.0s |
| #243 | Laguna S 2.1 low | Poolside | 3 | 3.8 | $0.082 | 0/3 | 167.5s |
| #244 | DeepSeek V3.2 none | DeepSeek | 2 | 3.1 | $0.054 | 0/3 | 14.5s |
| #245 | GPT-4o-mini none | OpenAI | 3 | 3.2 | $0.010 | 0/3 | 1.63s |
| #248 | Nemotron 3 Super none | NVIDIA | 3 | 3.3 | $0.008 | 0/3 | 2.64s |
| #250 | Nemotron 3.5 Lightning low | NVIDIA | 3 | 4.0 | $0.140 | 0/3 | 224.4s |
| #251 | GPT-5.4 Nano none | OpenAI | 3 | 4.6 | $0.041 | 0/3 | 2.22s |
| #252 | Trinity Large Thinking high | Arcee AI | 1 | 3.7 | $0.624 | 0/3 | 245.0s |
| #254 | KAT-Coder-Air V2.5 none | Kwaipilot | 1 | 3.3 | $0.070 | 0/3 | 14.3s |
| #255 | GLM 4.7 Flash none | Z.ai | 3 | 4.3 | $0.016 | 0/3 | 2.54s |
| #256 | Trinity Large Preview none | Arcee AI | 1 | 3.7 | $0.008 | 0/3 | 14.3s |
| #260 | Cobuddy medium | Baidu | 1 | 3.7 | $0.000 | 0/3 | 79.2s |
| #261 | Mercury 2 none | Inception | 3 | 3.4 | $0.030 | 0/3 | 1.03s |
| #262 | Qwen3 Coder Next medium | Qwen | 2 | 3.7 | $0.034 | 0/3 | 924ms |