North Mini Code is cheaper than Llama 3.1 405B at $0/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 | Free |
| Output price | $3.1/M tokens | Free |
| Context window | 128K tokens | 256K tokens |
| Weights | Open | Closed |
| Free API (OpenRouter) | No | Yes (1 provider) |
| Released | Jul 2024 | Jun 2026 |
| At 10M a month | $27.00 | $0 |
Input tokens at list price. No caching, no batch discount.
No hosts listed on OpenRouter.
Per million tokens. Prices and uptime via OpenRouter, checked 10 Oct 2026.
Llama 3.1 405B is developed by Meta AI while North Mini Code is developed by Cohere. Llama 3.1 405B has a 128K token context window vs North Mini Code's 256K. 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 North Mini Code 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 North Mini Code costs $0/M input tokens. North Mini Code is $2.70/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 North Mini Code 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.