Kimi K2 Thinking is cheaper than Llama 3.1 405B at $0.6/M vs $2.7/M input tokens.
Sections that transition like Framer. Timing is the whole grade.
Which answer wins?
| Spec | ||
|---|---|---|
| Input price | $0.6/M tokens | $2.7/M tokens |
| Output price | $2.5/M tokens | $3.1/M tokens |
| Context window | 262K tokens | 128K tokens |
| Parameters | 1T (32B active) | 405B |
| Weights | Open | Open |
| Free API (OpenRouter) | No | No |
| Released | Nov 2025 | Jul 2024 |
| At 10M a month | $6.00 | $27.00 |
Input tokens at list price. No caching, no batch discount.
No hosts listed on OpenRouter.
Per million tokens. Prices and uptime via OpenRouter, checked 5 Oct 2026.
Kimi K2 Thinking is developed by Moonshot AI while Llama 3.1 405B is developed by Meta AI. Kimi K2 Thinking has a 262K token context window vs Llama 3.1 405B's 128K. You can compare their actual outputs across 12 challenges on Rival to see how they differ in practice.
It depends on your use case. Kimi K2 Thinking and Llama 3.1 405B 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.
Kimi K2 Thinking costs $0.6/M input tokens and Llama 3.1 405B costs $2.7/M input tokens. Kimi K2 Thinking is $2.10/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 Kimi K2 Thinking and Llama 3.1 405B 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.