Llama 3.1 405B is cheaper than Mistral Large 2 at $2.7/M vs $8/M input tokens.
Pick a niche, then ship a webapp for it. Tailwind, one file, model's choice.
Which answer wins?
Not enough votes to call it. On the specs, Llama 3.1 405B has the edge: bigger model tier, major provider backing. Llama 3.1 405B costs 7.7x less per token.
| Spec | ||
|---|---|---|
| Input price | $2.7/M tokens | $8/M tokens |
| Output price | $3.1/M tokens | $24/M tokens |
| Context window | 128K tokens | 128K tokens |
| Parameters | 405B | 123B |
| Weights | Open | Open |
| Free API (OpenRouter) | No | No |
| Released | Jul 2024 | Jul 2024 |
| MMLU | 88.6% | 84.0% |
| At 10M a month | $27.00 | $80.00 |
Input tokens at list price. No caching, no batch discount.
No hosts listed on OpenRouter.
Per million tokens. Prices and uptime via OpenRouter, checked 13 Oct 2026.
Llama 3.1 405B is developed by Meta AI while Mistral Large 2 is developed by Mistral AI. Llama 3.1 405B has a 128K token context window vs Mistral Large 2's 128K. You can compare their actual outputs across 8 challenges on Rival to see how they differ in practice.
It depends on your use case. Llama 3.1 405B and Mistral Large 2 each have strengths in different areas. Rival lets you compare their real outputs side-by-side across 8 challenges so you can judge which fits your needs best.
Llama 3.1 405B costs $2.7/M input tokens and Mistral Large 2 costs $8/M input tokens. Llama 3.1 405B is $5.30/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 Mistral Large 2 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.