aditya0103's picture
eval: multi-model benchmark - nano is Pareto-optimal (0.896 micro F1 at 0.0116/doc)
bc61ea7
Raw
History Blame Contribute Delete
1.16 kB
{
"generated_at": "2026-07-05T06:50:39.328401+00:00",
"matrix": [
{
"model": "gpt-5-nano",
"reasoning_effort": "minimal"
},
{
"model": "gpt-5-mini",
"reasoning_effort": "minimal"
},
{
"model": "gpt-5",
"reasoning_effort": "minimal"
}
],
"results": {
"gpt-5-nano@minimal": {
"n_docs": 10,
"errors": 0,
"micro_f1": 0.8963,
"macro_f1": 0.8852,
"doc_exact_match": 0.4,
"mean_latency_ms": 5098.0,
"mean_cost_usd": 0.011635,
"total_cost_usd": 0.1164,
"wall_time_s": 51.0
},
"gpt-5-mini@minimal": {
"n_docs": 10,
"errors": 0,
"micro_f1": 0.8639,
"macro_f1": 0.9274,
"doc_exact_match": 0.4,
"mean_latency_ms": 6115.0,
"mean_cost_usd": 0.012694,
"total_cost_usd": 0.1269,
"wall_time_s": 61.16
},
"gpt-5@minimal": {
"n_docs": 10,
"errors": 0,
"micro_f1": 0.8843,
"macro_f1": 0.9393,
"doc_exact_match": 0.3,
"mean_latency_ms": 5377.0,
"mean_cost_usd": 0.011822,
"total_cost_usd": 0.1183,
"wall_time_s": 53.78
}
}
}