Llama 3.1 405b vs GPT-4o
Model Comparison Overview
Comparison Overview: Side-by-Side Performance Analysis of Llama 3.1 405b vs GPT-4o LLM Models Across Key Metrics and Benchmarks.
LLM Model Performance Overview
Performance Overview : Visualizing and Analyzing Key Metrics of Two Leading LLM Models for Performance Comparison.
| Model | Llama 3.1 405b | GPT-4o |
|---|---|---|
| Context size | 128K | 128K |
| Cutoff date | July 2024 | Oct 2023 |
| Input/output cost | $0.003 / $0.005 | $0.005 / $0.015 |
| Latency (TTFT) | 0.58s | 0.48s |
| Throughput | 28t/s | 80t/s |
Comparing Llama 3.1 405b vs GPT-4o
A detailed comparison of Llama 3.1 405b vs GPT-4o performance and features.
| Benchmark | Llama 3.1 405b | GPT-4o |
|---|---|---|
| MMLU | 88.6% | 88.7% |
| GPQA | 51.1% | 53.6% |
| MMMU | 64.5% | 69.1% |
| HellaSwag | 87% | 94.2% |
| HumanEval | 89% | 90.2% |
| BBHard | 81.3% | 91.3% |
| GSM8K | 96.8% | 89.8% |
| MATH | 73.8% | 76.6% |
These benchmarks test a range of abilities, including general knowledge (MMLU), visual perception (MMMU), domain-specific expertise (GPQA), logical reasoning (HELLASWAG), coding capabilities (HUMANEVAL), and math proficiency (GSM8K, MATH). By analyzing these areas, we can gauge the strengths and limitations of different models.