Llama 3.1 405BvsQwen3.8 2.4T A95B

Llama 3.1 405B is developed by Meta AI while Qwen3.8 2.4T A95B is developed by Qwen. Llama 3.1 405B has a 128K token context window vs Qwen3.8 2.4T A95B's 1.0M. You can compare their actual outputs across 12 challenges on Rival to see how they differ in practice.

It depends on your use case. Llama 3.1 405B and Qwen3.8 2.4T A95B each have strengths in different areas. Rival lets you compare their real outputs side-by-side across 12 challenges so you can judge which fits your needs best.

Llama 3.1 405B costs $2.7/M input tokens and Qwen3.8 2.4T A95B costs $2/M input tokens. Qwen3.8 2.4T A95B is $0.70/M cheaper per input. Check their side-by-side outputs on Rival to see if the price difference is justified by quality.

This page shows a side-by-side comparison of Llama 3.1 405B and Qwen3.8 2.4T A95B across shared challenges. You can vote on which model produced the better output in a blind duel. Browsing and voting are free. No account is needed to look; signing in only saves your votes and likes.