Gemini 4 Argon is cheaper than Llama 3.1 405B at $2/M vs $2.7/M input tokens.
Sections that transition like Framer. Timing is the whole grade.
Which answer wins?
Not enough votes to call it. On the specs, Gemini 4 Argon has the edge: newer, bigger context window. Llama 3.1 405B costs 3.2x less per token.
| Spec | ||
|---|---|---|
| Input price | $2/M tokens | $2.7/M tokens |
| Output price | $10/M tokens | $3.1/M tokens |
| Context window | 1.0M tokens | 128K tokens |
| Weights | Closed | Open |
| Free API (OpenRouter) | No | No |
| Released | Oct 2026 | Jul 2024 |
| At 10M a month | $20.00 | $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 13 Oct 2026.
Gemini 4 Argon is developed by Google AI while Llama 3.1 405B is developed by Meta AI. Gemini 4 Argon has a 1.0M 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. Gemini 4 Argon 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.
Gemini 4 Argon costs $2/M input tokens and Llama 3.1 405B costs $2.7/M input tokens. Gemini 4 Argon 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 Gemini 4 Argon 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.