LLM Rankings
- See also: LLM Comparisons and LLM Benchmarks Timeline
Ranking of large language models (LLMs).
| Model | Average | MMLU (General) | GPQA (Reasoning) | HumanEval (Coding) | Math | BFCL (Tool Use) | MGSM (Multilingual) |
|---|---|---|---|---|---|---|---|
| Claude 3.5 Sonnet | 84.5% | 88.3% | 65% | 93.7% | 78.3% | 90.2% | 91.6% |
| GPT-4o | 80.5% | 88.7% | 53.6% | 90.2% | 76.6% | 83.59% | 90.5% |
| Llama 3.1 405b | 80.4% | 88.6% | 51.1% | 89% | 73.8% | 88.5% | 91.6% |
| GPT-Turbo | 78.1% | 86.5% | 48% | 87.1% | 72.6% | 86% | 88.5% |
| Claude 3 Opus | 76.7% | 85.7% | 50.4% | 84.9% | 60.1% | 88.4% | 90.7% |
| GPT-4 | 75.5% | 86.4% | 41.4% | 86.6% | 64.5% | 88.3% | 85.9% |
| Llama 3.1 70b | 75.5% | 86% | 46.7% | 80.5% | 68% | 84.8% | 86.9% |
| Llama 3.3 70b | 74.5% | 86% | 48% | 88.40% | 77% | 77.5% | 91.1% |
| Gemini 1.5 Pro | 74.1% | 85.9% | 46.2% | 71.9% | 67.7% | 84.35% | 88.7% |
| Claude 3.5 Haiku | 68.3% | 65% | 41.6% | 88.1% | 69.4% | 60% | 85.6% |
| Gemini 1.5 Flash | 66.7% | 78.9% | 39.5% | 71.5% | 54.9% | 79.88% | 75.5% |
| Claude 3 Haiku | 62.9% | 75.2% | 35.7% | 75.9% | 38.9% | 74.65% | 71.7% |
| Llama 3.1 8b | 62.6% | 73% | 32.8% | 72.6% | 51.9% | 76.1% | 68.9% |
| GPT-3.5 Turbo | 59.2% | 69.8% | 30.8% | 68% | 34.1% | 64.41% | 56.3% |
| Gemini 2.0 Flash | – | 76.4% | 62.1% | – | 89.7% | – | – |
| AWS Nova Micro | – | 77.6% | 40% | 81.1% | 69.3% | 56.2% | – |
| AWS Nova Lite | – | 80.5% | 42% | 85.4% | 73.3% | 66.6% | – |
| AWS Nova Pro | – | 85.9% | 46.9% | 89% | 76.6% | 68.4% | – |
| GPT-4o mini | – | 82% | 40.2% | 87.2% | 70.2% | – | 87% |
| Gemini Ultra | – | 83.7% | 35.7% | – | 53.2% | – | 79% |
| OpenAI o1 | – | 91.8% | 75.7% | 92.4% | 96.4% | – | 89.3% |
References
- ↑ Vellum AI LLM Leaderboard https://www.vellum.ai/llm-leaderboard/