API error Failures
See which AI models run into API error most often, so you can spot reliability risks before choosing one. Sort by: Score ↓.
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| Rank | Model | Company | API error Count | Score | Total Cost | Tests Correct | Response Time (avg) |
|---|---|---|---|---|---|---|---|
| #202 | Grok Build 0.1 none | X AI | 3 | 4.0 | $0.547 | 7/19 | 28.7s |
| #204 | Qwen3.5-9B medium | Qwen | 1 | 3.8 | $0.036 | 3/22 | 82.2s |
| #205 | Laguna Xs.2 none | Poolside | 4 | 3.8 | $0.004 | 5/19 | 806ms |
| #206 | gpt-oss-120b none | OpenAI | 3 | 3.7 | $0.010 | 6/19 | 21.6s |
| #207 | Nemotron 3 Nano Omni 30b A3b Reasoning medium | NVIDIA | 6 | 3.4 | $0.000 | 4/19 | 17.1s |
| #208 | Nemotron 3 Nano Omni 30b A3b Reasoning none | NVIDIA | 6 | 3.2 | $0.000 | 2/19 | 728ms |
| #209 | Step 3.5 Flash none | Stepfun | 4 | 2.3 | $0.020 | 6/12 | 39.0s |
| #210 | LFM2-24B-A2B none | Liquid | 4 | 2.2 | $0.001 | 2/16 | 782ms |