GPT-4o vs GPT-4o (2024-08-06)

Model Overview

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.

Key Specifications

Benchmark Performance

Pricing Comparison

per million tokens — A / B

Strengths & Weaknesses

GPT-4o

• ✅ MMLU score 88.7, strong knowledge reasoning.
• ✅ HumanEval 90.2, excellent code generation.
• ✅ GSM8K 95.8, robust math reasoning.
• ✅ Input Modalities: text, image, audio.
• ⚠️ Proprietary, not self-hostable.

GPT-4o (2024-08-06)

• ✅ MMLU score 87.6, strong knowledge reasoning.
• ✅ HumanEval 85.1, excellent code generation.
• ✅ GSM8K 93.3, robust math reasoning.
• ✅ Input Modalities: text, image, audio.
• ⚠️ Proprietary, not self-hostable.

Editor’s Take

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.

References

• GPT-4o Documentation
• GPT-4o (2024-08-06) Documentation