AI Model Leaderboard
The top AI models ranked by performance across four key benchmarks. Updated weekly.
Claude Opus 4 holds the top overall position as of March 2026, with the highest Arena Elo score and strong performance across all benchmarks. GPT-o3 leads on raw reasoning tasks (GPQA, HumanEval) but trails in user preference ratings.
Overall Rankings — March 2026
| # | Model | Provider | Arena Elo | MMLU | HumanEval | GPQA |
|---|---|---|---|---|---|---|
| 1 | Claude Opus 4 | Anthropic | 1380 | 92.0% | 93.7% | 74.9% |
| 2 | GPT-4o | OpenAI | 1360 | 90.2% | 91.0% | 68.7% |
| 3 | Gemini 2.5 Pro | 1355 | 91.5% | 89.2% | 71.3% | |
| 4 | GPT-o3 | OpenAI | 1348 | 93.1% | 96.2% | 78.1% |
| 5 | Claude Sonnet 4 | Anthropic | 1335 | 89.5% | 92.0% | 65.4% |
| 6 | Grok 3 | xAI | 1318 | 88.7% | 87.1% | 62.3% |
| 7 | Llama 4 Maverick | Meta | 1310 | 88.2% | 85.9% | 58.7% |
| 8 | Mistral Large 2 | Mistral | 1295 | 86.4% | 84.2% | 55.1% |
| 9 | Qwen 3 235B | Alibaba | 1288 | 86.1% | 83.8% | 54.2% |
| 10 | Command R+ | Cohere | 1265 | 83.7% | 79.1% | 48.9% |
How We Rank Models
Our leaderboard combines four data sources: LMSYS Chatbot Arena Elo ratings (user preference), MMLU (broad knowledge), HumanEval (coding ability), and GPQA (expert-level reasoning). We weight Arena Elo highest because it best reflects real-world usefulness.
In our testing, the gap between top models is narrowing. The best model depends on your use case — Claude for long documents, GPT for multimodal tasks, Gemini for grounded search.
Frequently Asked Questions
How often is the leaderboard updated? ▼
We update benchmark scores weekly as new data becomes available from LMSYS Chatbot Arena, official provider announcements, and independent evaluations.
What is Arena Elo? ▼
Arena Elo is a chess-style rating system from the LMSYS Chatbot Arena where users compare AI model responses head-to-head. Higher Elo means users consistently prefer that model's outputs.
Why do some models score high on benchmarks but feel worse in practice? ▼
Benchmarks test specific capabilities in controlled conditions. Real-world performance depends on instruction following, tone, creativity, and consistency — things benchmarks don't fully capture. That's why we include Arena Elo (user preference) alongside academic benchmarks.