GPT-3.5 Turbo vs GPT-4: Benchmark Comparison
Detailed comparison of GPT-3.5 Turbo and GPT-4 covering benchmarks, pricing, context window, and compliance.
Key Specifications
| Specification | GPT-3.5 Turbo | GPT-4 |
|---|---|---|
| Vendor | openai | openai |
| Version | 3.5-turbo | 4 |
| Release Date | 2023-03-01 | 2023-03-14 |
| Context Window | 16385 tokens | 8192 tokens |
| Input Modalities | text | text |
| Output Modalities | text | text |
| License | Proprietary | Proprietary |
| SOC2 | ✓ | ✓ |
| HIPAA | ✓ | ✓ |
| GDPR | ✓ | ✓ |
| ISO 27001 | ✓ | ✓ |
Benchmark Results
| Benchmark | GPT-3.5 Turbo | GPT-4 | Winner |
|---|---|---|---|
| ARC | 86.8 | 94.1 | GPT-4 |
| BBH | 48.2 | 80.9 | GPT-4 |
| GPQA | 22.4 | 39.2 | GPT-4 |
| GSM8K | 34.3 | 91.7 | GPT-4 |
| HUMANEVAL | 51.3 | 77.6 | GPT-4 |
| IFEVAL | 57.4 | 74.6 | GPT-4 |
| MATH | 17.8 | 43.9 | GPT-4 |
| MMLU | 61.1 | 85.8 | GPT-4 |
| MUSR | 29.2 | 54.6 | GPT-4 |
| WINOGRANDE | 76.7 | 80.3 | GPT-4 |
Pricing Comparison
| Tier (per Mtok) | GPT-3.5 Turbo | GPT-4 |
|---|---|---|
| Input | $0.5 | $30 |
| Output | $1.5 | $60 |
| Cache Read | $0 | $0 |
| Cache Write | $0 | $0 |
GPT-3.5 Turbo mot GPT-4
Modellöversikt
GPT-3.5 Turbo and GPT-4 are both notable options in the AI model market. This page compares their benchmarks, pricing, and compliance.
Nyckelspecifikationer
| Leverantör | Releasedatum | Kontextfönster | Licens |
|---|---|---|---|
| Openai / Openai | 2023-03-01 / 2023-03-14 | 16K / 8K | Proprietary / Proprietary |
Benchmarkprestanda
| Benchmark | GPT-3.5 Turbo | GPT-4 | Vinnare |
|---|---|---|---|
| ARC | 86.8 | 94.1 | B |
| BBH (BIG-Bench Hard) | 48.2 | 80.9 | B |
| GPQA | 22.4 | 39.2 | B |
| GSM8K (Grade School Math 8K) | 34.3 | 91.7 | B |
| HumanEval | 51.3 | 77.6 | B |
| IFEval | 57.4 | 74.6 | B |
| MATH | 17.8 | 43.9 | B |
| MMLU (Massive Multitask Language Understanding) | 61.1 | 85.8 | B |
| MUSR | 29.2 | 54.6 | B |
| WinoGrande | 76.7 | 80.3 | B |
Prisjämförelse
| Inmatning | Utmatning | Cacheläsning | Cacheskrivning |
|---|---|---|---|
| — / — | — / — | — / — | — / — |
per miljon tokens — A / B
Styrkor & Svagheter
GPT-3.5 Turbo
- ✅ 可靠的通用模型。
- ⚠️ 闭源专有模型，不支持自托管。
- ⚠️ 上下文窗口 16K 偏小。
GPT-4
- ✅ MMLU score 85.8, strong knowledge reasoning.
- ✅ GSM8K 91.7, robust math reasoning.
- ⚠️ 闭源专有模型，不支持自托管。
- ⚠️ 上下文窗口 8K 偏小。
Redaktörens åsikt
GPT-3.5 Turbo and GPT-4 each have their strengths. Choose based on workload (code, long context, vision), referencing the tables above.
Vanliga frågor
Which model is better for coding tasks?
Refer to the HumanEval benchmark table; the model with a higher score is better suited for coding tasks.
Which model is cheaper?
Refer to the pricing comparison table above; the model with lower input/output prices is more cost-effective.
Which has a longer context window?
Refer to the key specifications table; the model with a larger context window is better for long documents.
Referenser
Editor's Take
See Editor's Take section.