text-davinci-002: benchmark results
InstructGPT completion model snapshot fine-tuned on the code-davinci-002 base rather than the original GPT-3 base. Provider: OpenAI. Released 2022-03-15. Access: API.
Aggregate Rating 1400 ± 23, rank #1225 of 1656 rated models, from 69 benchmark results.
Strongest benchmark results
| Benchmark | Score | Metric | Percentile |
|---|---|---|---|
| HELM Classic - BBQ | 88.07 | Exact Match (%) | 100 |
| HELM Classic - TruthfulQA | 60.96 | Exact Match (%) | 98.5 |
| HELM Classic - WikiFact | 39.25 | Exact Match (%) | 97 |
| HELM | 90.5 | Mean win rate (imported) | 96.9 |
| HELM Classic - HellaSwag | 81.5 | Exact Match (%) | 96.8 |
| HELM Classic - OpenbookQA | 59.4 | Exact Match (%) | 96.8 |
| HELM Classic - Synthetic Reasoning Natural | 62.29 | F1 (%) | 95.6 |
| HELM Classic - BoolQ | 87.7 | Exact Match (%) | 95.5 |
| HELM Classic - CivilComments | 66.84 | Exact Match (%) | 95.5 |
| HELM Classic - Entity Data Imputation | 84.16 | Exact Match (%) | 95.5 |
| HELM Classic - Entity Matching | 93.08 | Exact Match (%) | 95.5 |
| HELM Classic - NaturalQuestions Open Book | 71.32 | F1 (%) | 95.4 |
Interactive version: theaggregate.ai/model?slug=text-davinci-002 · How It Works · Data refreshed daily, snapshot 2026-10-20.