Benchmark Performance
| Benchmark | Score | Unit | Evaluated At | Notes | Source |
|---|
| MMLU | 50.3 | % | 2022-11-30 | 5-shot | view |
| HUMANEVAL | 28.2 | pass@1 | 2022-11-30 | — | view |
| GSM8K | 56.6 | % | 2022-11-30 | 0-shot CoT | view |
| MATH | 29.4 | % | 2022-11-30 | 0-shot CoT | view |
| BBH | 63.9 | % | 2022-11-30 | 3-shot CoT | view |
| GPQA | 26.9 | % | 2022-11-30 | 0-shot | view |
| IFEVAL | 52.8 | % | 2022-11-30 | prompt_strict | view |
| ARC | 81.8 | % | 2022-11-30 | challenge | view |
| MUSR | 40.4 | % | 2022-11-30 | 0-shot | view |
| WINOGRANDE | 72.7 | % | 2022-11-30 | 0-shot | view |
Pricing
| Tier | Price | Currency |
|---|
| Input | $2 / Mtok | USD |
| Output | $2 / Mtok | USD |
| Cache Read | $0 / Mtok | USD |
| Cache Write | $0 / Mtok | USD |
Source:
https://openai.com/api/pricing/
· as of 2022-11-30
Compliance
- Data Residency: US
- SOC2: ✓
- HIPAA: ✓
- GDPR: ✓
- ISO 27001: ✓
GPT-3.5
Przegląd modelu
OpenAI GPT-3.5 基础模型, 4K 上下文, ChatGPT 初始版本所用模型, 推理能力优于 GPT-3。
Podstawowe specyfikacje
| Dostawca | Wersja | Data wydania | Okno kontekstowe | Modalności wejściowe | Modalności wyjściowe | Licencja |
|---|
| Openai | 3.5 | 2022-11-30 | 4K | text | text | Proprietary |
Wydajność benchmarków
| Benchmark | Wynik | Jednostka | Uwagi |
|---|
| MMLU (Massive Multitask Language Understanding) | 50.3 | % | 5-shot |
| HumanEval | 28.2 | pass@1 | — |
| GSM8K (Grade School Math 8K) | 56.6 | % | 0-shot CoT |
| MATH | 29.4 | % | 0-shot CoT |
| BBH (BIG-Bench Hard) | 63.9 | % | 3-shot CoT |
| GPQA | 26.9 | % | 0-shot |
| IFEval | 52.8 | % | prompt_strict |
| ARC | 81.8 | % | challenge |
| MUSR | 40.4 | % | 0-shot |
| WinoGrande | 72.7 | % | 0-shot |
Ceny
| Wejście | Wyjście | Odczyt pamięci podręcznej | Zapis pamięci podręcznej |
|---|
| — | — | — | — |
za milion tokenów
Mocne strony
Słabe strony
- MMLU 仅 50.3，知识推理偏弱。
- HumanEval 28.2，代码能力较弱。
- 闭源专有模型，不支持自托管。
- 上下文窗口 4K 偏小。
Przypadki użycia
Referencje