API error Failures
See which AI models run into API error most often, so you can spot reliability risks before choosing one. Sort by: Response Time (avg) ↑.
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| Rank | Model | Company | API error Count | Score | Total Cost | Tests Correct | Response Time (avg) |
|---|---|---|---|---|---|---|---|
| #298 | DeepSeek V4.1 Flash none | DeepSeek | 1 | 0.6 | $0.391 | 7/23 | 16.6s |
| #429 | Nemotron 3 Nano Omni 30b A3b Reasoning medium | NVIDIA | 6 | 0.3 | $0.000 | 4/19 | 17.1s |
| #78 | Muse Spark 1.3 low | Meta | 1 | 0.9 | $0.911 | 16/23 | 17.7s |
| #17 | Gemini 4 Argon high | 1 | 1.0 | $1.802 | 21/23 | 19.0s | |
| #226 | KAT-Coder-Pro V2.5 low | Kwaipilot | 2 | 0.7 | $0.568 | 11/23 | 19.4s |
| #256 | Minimax M3.1 Flash medium | Minimax | 1 | 0.6 | $0.000 | 8/23 | 19.5s |
| #342 | MiMo-V2-Flash medium | Xiaomi | 1 | 0.5 | $0.043 | 12/21 | 20.1s |
| #319 | GPT-6 Luna none | OpenAI | 1 | 0.5 | $0.026 | 7/23 | 20.5s |
| #235 | KAT-Coder-Pro V2.5 high | Kwaipilot | 1 | 0.6 | $0.506 | 11/23 | 21.2s |
| #32 | Muse Wonder medium | Meta | 4 | 0.9 | $3.397 | 17/23 | 21.6s |
| #243 | Minimax M3.1 Flash xhigh | Minimax | 1 | 0.6 | $0.000 | 10/23 | 21.7s |
| #341 | Mimo V2 PRO medium | Xiaomi | 1 | 0.5 | $0.333 | 12/21 | 22.2s |
| #373 | DeepSeek V3.2 none | DeepSeek | 3 | 0.5 | $0.119 | 6/23 | 22.4s |
| #329 | Ember-1 none | Fireworks | 5 | 0.5 | $0.786 | 8/23 | 22.6s |
| #134 | Muse Wonder high | Meta | 6 | 0.8 | $3.426 | 15/23 | 23.0s |