Gemini 4 Argon: Dostępność API
Potwierdzone27 odnośników źródłowych
Oryginał angielski

USD / 1 mln tokenów
| Wejście | Wyjście | Wejście z pamięci podręcznej |
|---|---|---|
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| Model | Odnośniki źródłowe | Cena wejścia/wyjścia |
|---|---|---|
gemini-4-argonbatch | gemini Trasa API jest niedostępna | $1,00 / $5,00 |
gemini-4-argonflex | gemini Trasa API jest niedostępna | $1,00 / $5,00 |
gemini-4-argonpriority | gemini Trasa API jest niedostępna | $3,60 / $18,00 |
gemini-4-argonstandard | gemini Trasa API jest niedostępna | $2,00 / $10,00 |
gemini-4-argonstandard · tekst | 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 to model AI od Google, wydany 2026-10-13. Okno kontekstowe wynosi 1 048 576 tokenów. Maksymalna długość odpowiedzi to 1 048 576 tokenów. Cena za milion tokenów wynosi $2,00 na wejściu i $10,00 na wyjściu.
Okno kontekstowe wynosi 1 048 576 tokenów. Maksymalna długość odpowiedzi to 1 048 576 tokenów.
Cena za milion tokenów wynosi $2,00 na wejściu i $10,00 na wyjściu. Wejście z pamięci podręcznej kosztuje $0,10 za milion tokenów.
2026-10-13. Signal Forge zarejestrował model po raz pierwszy 2026-09-30, 12 dni przed premierą.