MiMo-V2-Pro is cheaper than Llama 3.1 405B at $1/M vs $2.7/M input tokens.
Sections that transition like Framer. Timing is the whole grade.
Which answer wins?
| Spec | ||
|---|---|---|
| Input price | $2.7/M tokens | $1/M tokens |
| Output price | $3.1/M tokens | $3/M tokens |
| Context window | 128K tokens | 1.0M tokens |
| Weights | Open | — |
| Free API (OpenRouter) | No | No |
| Released | Jul 2024 | Mar 2026 |
| At 10M a month | $27.00 | $10.00 |
Input tokens at list price. No caching, no batch discount.
Llama 3.1 405B is developed by Meta AI while MiMo-V2-Pro is developed by Xiaomi. Llama 3.1 405B has a 128K token context window vs MiMo-V2-Pro'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 MiMo-V2-Pro 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 MiMo-V2-Pro costs $1/M input tokens. MiMo-V2-Pro is $1.70/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 MiMo-V2-Pro 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.