Coding Ranking
See which AI models perform best on Coding, which ones stay reliable, and where the biggest gaps appear. Sort by: Tests Correct ↑.
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| Rank | Model | Company | Coding Score | Score | Total Cost | Tests Correct | Response Time (avg) |
|---|---|---|---|---|---|---|---|
| #333 | Mercury 2.5 Preview default | Inception | 0.5 | 0.5 | $0.023 | 0/3 | 459ms |
| #334 | Nemotron 3.5 Lightning medium | NVIDIA | 0.4 | 0.5 | $0.195 | 0/3 | 285.5s |
| #335 | North Mini Code default | Cohere | 0.4 | 0.5 | $0.000 | 0/3 | 22.0s |
| #336 | Laguna S 2.1 none | Poolside | 0.3 | 0.5 | $0.044 | 0/3 | 550ms |
| #337 | Granite 4.2 8B high | IBM Granite | 0.4 | 0.5 | $0.111 | 0/3 | 515.3s |
| #338 | Qwen3 Coder Next medium | Qwen | 0.4 | 0.5 | $0.071 | 0/3 | 924ms |
| #339 | DeepSeek V3.2 none | DeepSeek | 0.3 | 0.5 | $0.119 | 0/3 | 14.5s |
| #340 | GPT-5.4 Nano none | OpenAI | 0.5 | 0.5 | $0.068 | 0/3 | 2.22s |
| #343 | Laguna S 2.1 low | Poolside | 0.4 | 0.5 | $0.108 | 0/3 | 167.5s |
| #344 | Nemotron 3.5 Lightning low | NVIDIA | 0.4 | 0.5 | $0.175 | 0/3 | 224.4s |
| #351 | Mimo V2 Omni default | Xiaomi | 0.4 | 0.4 | $0.021 | 0/3 | 2.75s |
| #352 | Nemotron 3 Super none | NVIDIA | 0.3 | 0.4 | $0.016 | 0/3 | 2.64s |
| #353 | KAT Coder AIR V2.5 default | Kwaipilot | 0.3 | 0.4 | $0.070 | 0/3 | 14.3s |
| #354 | Trinity Large Preview default | Arcee AI | 0.4 | 0.4 | $0.008 | 0/3 | 14.3s |
| #356 | Cobuddy medium | Baidu | 0.4 | 0.4 | $0.000 | 0/3 | 79.2s |