Gemini 4 Argon: Disponibilidad en API
Confirmado27 enlaces de referencia
Original en inglés

USD / 1 millón de tokens
| Entrada | Salida | Entrada en caché |
|---|---|---|
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| Modelo | Enlaces de referencia | Precio entrada/salida |
|---|---|---|
gemini-4-argonbatch | gemini Ruta de API no disponible | $1,00 / $5,00 |
gemini-4-argonflex | gemini Ruta de API no disponible | $1,00 / $5,00 |
gemini-4-argonpriority | gemini Ruta de API no disponible | $3,60 / $18,00 |
gemini-4-argonstandard | gemini Ruta de API no disponible | $2,00 / $10,00 |
gemini-4-argonstandard · texto | opencode-go | $2,00 (When not (Date >= 2026-12-01)); $4,00 (Date >= 2026-12-01) / $10,00 (When not (Date >= 2026-12-01)); $20,00 (Date >= 2026-12-01) |
google/gemini-4-argonstandard | openrouter | $2,00 / $10,00 |
google/gemini-4-argon:batchbatch | openrouter | $1,00 / $5,00 |
google/gemini-4-argonstandard | vercel-gateway | $2,00 / $10,00 |
This capability becomes a path for simulating a breadth of scenarios in imagined worlds, using Gemini 4 Argon and Genie 4
🚨 Gemini 4 Carbon is out. According to synthetic benchmarks, it’s now the best AI model in the world. The Artificial Analysis Intelligence Index seems to confirm that. But will it actually be usable in practice? I seriously doubt it. Remember when Gemini 4 Argon came out and everyone called it the ultimate AI killer? In reality, it turned out to be such a hallucinating piece of shit that even a grandma with dementia could probably reason better. So I’d take all these impressive numbers with a massive grain of salt. Divide the hype by at least two. I’m pretty sure Carbon won’t even come close to Tera or Sonnet in real-world use. I genuinely have no idea who this is even for.
Gemini 4 Argon benchmarks are out We've actually seen these benchmarks before, back when the model was first announced. Looks really strong in text, vision, etc. thanks to Google's foundation. But I feel like the coding scores are heavily benchmark-optimized. Happy to be wrong.
🚨 Gemini 4 Argon is out! Only Ultra users for now
🚨 Gemini 4 Argon has been added to Google Cloud, which means the release is very close.
🚨 Gemini 4 Argon sits almost right on the Pareto frontier for price vs intelligence, next to Claude Opus 5.5 Medium and High
🚨 Gemini 4 Argon scores 53 and ties for 3rd place with Fable 5.1 and GPT 6 Astra on the AA Intelligence Index
🚨 Gemini 4 Argon takes the #1 spot on Text Arena
🚨 Google announced Gemini 4 Argon Pricing starts at $2 per 1M input tokens and $10 per 1M output tokens. For now, only approved organizations have access.
models/gemini-4-argonGemini 4 Argon es un modelo de Google, lanzado el 2026-10-13. La ventana de contexto es de 1.048.576 tokens. El máximo de salida es de 1.048.576 tokens. El precio por millón de tokens es de $2,00 para la entrada y $10,00 para la salida.
La ventana de contexto es de 1.048.576 tokens. El máximo de salida es de 1.048.576 tokens.
El precio por millón de tokens es de $2,00 para la entrada y $10,00 para la salida. La entrada en caché cuesta $0,10 por millón.
El 2026-10-13. Signal Forge lo registró por primera vez el 2026-09-30, 12 días antes del lanzamiento.