GPT-4o vs GPT-4 Turbo

Model Overview

GPT-4o and GPT-4 Turbo 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-4 Turbo

• ✅ MMLU score 84.4, strong knowledge reasoning.
• ✅ HumanEval 80.5, excellent code generation.
• ✅ GSM8K 85.2, robust math reasoning.
• ✅ Input Modalities: text, image, audio.
• ✅ Context window 128K.
• ⚠️ Proprietary, not self-hostable.

Editor’s Take

GPT-4o and GPT-4 Turbo 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-4 Turbo Documentation