Gemini 4 Argon — Specifications
Compiled by Mustafa Ihsan from the vendor’s published documentation · Last updated
| Sviluppatore | Google DeepMind |
|---|---|
| Tipo | Ragionamento / agenziale |
| Modalità | Text, vision, video |
| Parametri | Non divulgato |
| Output massimo | 1 milione |
| Licenza | Proprietaria |
| Pesi aperti | No |
| Pubblicato | 2026-09 |
| Prezzo dell’input | $2.00 /1M |
| Prezzo dell’output | $10.00 /1M |
| Provider API | Google (limited access: Fairwind Program; paid API customers first) |
Benchmark
| Google-reported | DeepSWE v1.1 77.9%; AutomationBench 51.3% (#1); LVBench 91.7%; CWE-bench v1 68% (tied first). Prices are introductory; $4 / $20 per 1M afterwards. |
|---|
Cos'è Gemini 4 Argon?
Gemini 4 Argon is Google DeepMind’s frontier model, announced on 30 September 2026 as the first model of the Gemini 4 generation. According to Google, it is built for long, multi-step work in software engineering, enterprise knowledge work such as law and finance, and cybersecurity defence, and its output limit rises to 1 million tokens from 64,000.
At announcement it was available only to trusted cyber defenders through the Fairwind Program; Google says wider access starts with paid API customers and Google AI Ultra subscribers, with no date given. The introductory API price is $2 per million input tokens and $10 output (cached input 95% off), rising to $4 / $20 after the introductory period. A plain-language guide: Gemini 4 Argon spiegato.
Gemini 4 Argon pricing: API cost per 1M tokens
| Input (per ogni milione di token) | $2.00 |
|---|---|
| Output (per ogni milione di token) | $10.00 |
| Rapporto output/input | 5× |
| Combinato (4:1 in:out) | $3.60 per 1 milione di token |
What Gemini 4 Argon costs per month
Spesa mensile reale con un mix input-to-output 4:1 — il rapporto effettivamente prodotto da un tipico carico di lavoro basato su chat o RAG.
| Carico di lavoro | Token/mese | Costo/mese |
|---|---|---|
| Progetto secondario | 1 milione in ingresso / 0,25 milioni in uscita | $4.50 |
| Piccolo team | 20 milioni in ingresso / 5 milioni in uscita | $90 |
| Produzione | 200 milioni in ingresso / 50 milioni in uscita | $900 |
Calcola i tuoi numeri personalizzati nel Calcolatore dei costi delle API per l'IA.
Cheaper alternatives to Gemini 4 Argon
| Modello | Costo combinato ($/1 milione) | Risparmi |
|---|---|---|
| Mistral 7B aperta | $0.0220 | 99% più economico |
| Llama 3.1 8B aperta | $0.0220 | 99% più economico |
| Mistral NeMo 12B aperta | $0.0240 | 99% più economico |
Domande frequenti
How much does Gemini 4 Argon cost per 1M tokens?
Gemini 4 Argon costs $2.00 per 1M input tokens and $10.00 per 1M output tokens. At a typical 4:1 input-to-output mix that blends to about $3.60 per 1M tokens.
How much does Gemini 4 Argon cost per month?
A small-team workload of 20M input and 5M output tokens a month costs about $90 on Gemini 4 Argon. A side project (1M in / 0.25M out) costs roughly $4.50.
What is a cheaper alternative to Gemini 4 Argon?
Mistral 7B is the strongest cheaper option in our database at $0.0220 per 1M blended — about 99% less than Gemini 4 Argon. It is also open-weight, so self-hosting is an option.
Can I run Gemini 4 Argon locally?
No. Gemini 4 Argon is a closed, API-only model — the weights are not released, so it cannot be self-hosted.
Why does Gemini 4 Argon charge more for output than input?
Output tokens are generated one at a time and cannot be batched the way a prompt can, so they cost the provider more to serve. Gemini 4 Argon charges 5× more for output, which is why prompt-heavy workloads are far cheaper to run than generation-heavy ones.
I prezzi indicati sono le tariffe ufficiali pubblicate per l'API principale del modello e vengono aggiornati man mano che i fornitori li modificano. Sconti per volumi elevati, elaborazione batch e input memorizzati nella cache non sono inclusi. Confronta tutti i modelli fianco a fianco nel database dei modelli AI o il Classifica LLM.