How far behind is Europe in the LLM race?

With the restriction of Mistral and other models πŸ”, we often discuss how Europe is distanced by the US. How is it in reality? How has this gap evolved over time? I built an interactive page to form my own opinion, you can play with it here: lmarena-analysis.

Best LLM Arena score over time for the US, Europe and China

You can check the performance of the best model from the US πŸ‡ΊπŸ‡Έ versus the best model from Europe πŸ‡ͺπŸ‡Ί and China πŸ‡¨πŸ‡³. Without surprise, Europe has been championed solely by Mistral, with two top scores in August 2024 and August 2025 when mistral-medium-2407 and mistral-medium-2508 were respectively introduced.

You can also see another interesting battle: proprietary vs open-weights vs open-source, where deepseek-r1 took the top spot for a short period of time among proprietary models (what an achievement from DeepSeek).

Best LLM Arena score over time for proprietary, open-weights and open-source models

For open-source (e.g. open code and data in addition to weights), the gap has often been significant but has recently been reduced significantly by Olmo3 and Nemotron3 from Ai2 and NVIDIA ❀️.

You can also browse any category in case one is more important for you, such as creative writing or math.

PS: Code is available here, please ping me or send a PR if you find any mistake, in particular in the open-source classification.

Written on July 2, 2026