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) ↑.
149/149
Filter models
No models match the current search and filters.
| Rank | Model | Company | API error Count | Score | Total Cost | Tests Correct | Response Time (avg) |
|---|---|---|---|---|---|---|---|
| #144 | GPT-6 Luna low | OpenAI | 2 | 0.8 | $0.033 | 12/23 | 23.2s |
| #268 | KAT-Coder-Pro V2.5 medium | Kwaipilot | 2 | 0.6 | $0.669 | 11/23 | 23.9s |
| #383 | Hy3 preview low | Tencent | 7 | 0.5 | $0.042 | 10/21 | 24.6s |
| #281 | KAT-Coder-Pro V2.5 default | Kwaipilot | 1 | 0.6 | $0.742 | 11/23 | 25.0s |
| #109 | DeepSeek V4.1 Flash low | DeepSeek | 1 | 0.8 | $0.494 | 15/23 | 28.0s |
| #395 | gpt-oss-120b none | OpenAI | 3 | 0.4 | $0.016 | 6/20 | 28.6s |
| #422 | Grok Build 0.1 none | X AI | 3 | 0.3 | $0.547 | 7/19 | 28.7s |
| #157 | Inkling Small high | Thinkingmachines | 1 | 0.7 | $0.398 | 14/23 | 29.1s |
| #64 | DeepSeek V4.1 Flash medium | DeepSeek | 1 | 0.9 | $0.591 | 16/23 | 32.9s |
| #63 | DeepSeek V4.1 Flash high | DeepSeek | 1 | 0.9 | $0.617 | 16/23 | 33.3s |
| #228 | Minimax M3.1 Flash high | Minimax | 1 | 0.7 | $0.000 | 9/23 | 34.0s |
| #142 | Muse Wonder xhigh | Meta | 6 | 0.8 | $4.012 | 14/23 | 34.4s |
| #188 | Ember-1 low | Fireworks | 6 | 0.7 | $1.488 | 13/23 | 34.9s |
| #88 | Muse Spark 1.1 high | Meta | 1 | 0.8 | $2.570 | 13/23 | 37.4s |
| #390 | Cobuddy medium | Baidu | 2 | 0.4 | $0.000 | 7/22 | 38.0s |