GPT-4o vs GPT-4o (2024-08-06): Benchmark Comparison
Detailed comparison of GPT-4o and GPT-4o (2024-08-06) covering benchmarks, pricing, context window, and compliance.
Key Specifications
| Specification | GPT-4o | GPT-4o (2024-08-06) |
|---|---|---|
| Vendor | openai | openai |
| Version | 4o | 4o-2024-08-06 |
| Release Date | 2024-05-13 | 2024-08-06 |
| Context Window | 128000 tokens | 128000 tokens |
| Input Modalities | text, image, audio | text, image, audio |
| Output Modalities | text, audio | text, audio |
| License | Proprietary | Proprietary |
| SOC2 | ✓ | ✓ |
| HIPAA | ✓ | ✓ |
| GDPR | ✓ | ✓ |
| ISO 27001 | ✓ | ✓ |
Benchmark Results
| Benchmark | GPT-4o | GPT-4o (2024-08-06) | Winner |
|---|---|---|---|
| ARC | — | 95.9 | GPT-4o (2024-08-06) |
| BBH | 83.1 | 84.9 | GPT-4o (2024-08-06) |
| GPQA | — | 62 | GPT-4o (2024-08-06) |
| GSM8K | 95.8 | 93.3 | GPT-4o |
| HUMANEVAL | 90.2 | 85.1 | GPT-4o |
| IFEVAL | — | 85.5 | GPT-4o (2024-08-06) |
| MATH | 76.6 | 68.2 | GPT-4o |
| MMLU | 88.7 | 87.6 | GPT-4o |
| MUSR | — | 62.9 | GPT-4o (2024-08-06) |
| WINOGRANDE | — | 87.7 | GPT-4o (2024-08-06) |
Pricing Comparison
| Tier (per Mtok) | GPT-4o | GPT-4o (2024-08-06) |
|---|---|---|
| Input | $2.5 | $2.5 |
| Output | $10 | $10 |
| Cache Read | $1.25 | $0 |
| Cache Write | $2.5 | $0 |
GPT-4o 대 GPT-4o (2024-08-06)
모델 개요
GPT-4o and GPT-4o (2024-08-06) are both notable options in the AI model market. This page compares their benchmarks, pricing, and compliance.
핵심 사양
| 공급업체 | 출시일 | 컨텍스트 창 | 라이선스 |
|---|---|---|---|
| Openai / Openai | 2024-05-13 / 2024-08-06 | 128K / 128K | Proprietary / Proprietary |
벤치마크 성능
| 벤치마크 | GPT-4o | GPT-4o (2024-08-06) | 승자 |
|---|---|---|---|
| ARC | — | 95.9 | B |
| BBH (BIG-Bench Hard) | 83.1 | 84.9 | B |
| GPQA | — | 62.0 | B |
| GSM8K (Grade School Math 8K) | 95.8 | 93.3 | A |
| HumanEval | 90.2 | 85.1 | A |
| IFEval | — | 85.5 | B |
| MATH | 76.6 | 68.2 | A |
| MMLU (Massive Multitask Language Understanding) | 88.7 | 87.6 | A |
| MUSR | — | 62.9 | B |
| WinoGrande | — | 87.7 | B |
가격 비교
| 입력 | 출력 | 캐시 읽기 | 캐시 쓰기 |
|---|---|---|---|
| — / — | — / — | — / — | — / — |
백만 토큰당 — A / B
강점 & 약점
GPT-4o
- ✅ MMLU score 88.7, strong knowledge reasoning.
- ✅ HumanEval 90.2, excellent code generation.
- ✅ GSM8K 95.8, robust math reasoning.
- ✅ 支持文本、图像、音频多模态输入。
- ⚠️ 闭源专有模型，不支持自托管。
GPT-4o (2024-08-06)
- ✅ MMLU score 87.6, strong knowledge reasoning.
- ✅ HumanEval 85.1, excellent code generation.
- ✅ GSM8K 93.3, robust math reasoning.
- ✅ 支持文本、图像、音频多模态输入。
- ⚠️ 闭源专有模型，不支持自托管。
편집자 의견
GPT-4o and GPT-4o (2024-08-06) each have their strengths. Choose based on workload (code, long context, vision), referencing the tables above.
FAQ
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.
참고문헌
Editor's Take
See Editor's Take section.