Gemini 4 Argon pricing, context window and limits
Gemini 4 Argon costs $2 per million input tokens and $10 per million output tokens at Google Gemini list price. It accepts up to 1,048,576 tokens of context and returns up to 32,768 tokens.
- Model id
gemini-4-argon - Snapshot
What does Gemini 4 Argon cost?
| Input | $2 |
|---|---|
| Output | $10 |
| Cached input (read) | $0.1 |
| Cache write | — |
US dollars per million tokens. A dash means no price is published.
How much can Gemini 4 Argon read and write?
| Context window | 1,048,576 |
|---|---|
| Max output | 32,768 |
What can Gemini 4 Argon do?
| Vision (image input) | Yes |
|---|---|
| Tool calling | Yes |
| Structured output | Yes |
| Reasoning | Yes |
| Input | text, image, video, audio, pdf |
| Output | text |
What does a request to Gemini 4 Argon cost?
| A typical request: 1,000 tokens in, 500 out | $0.007 |
|---|---|
| A long request: 10,000 tokens in, 1,000 out | $0.03 |
| 1,000 typical requests | $7 |
| 1 million tokens in and 1 million out | $12 |
Input read from the provider's prompt cache costs $0.1 per million tokens instead of $2, 95% less. A request that repeats a 1,000-token prompt from the cache costs $0.0051 instead of $0.007.
Among 35 Google Gemini models with a published price, Gemini 4 Argon is the 28th cheapest by input price. Its context window is the largest of 40. List prices only; discounts, batch prices and prices above 200K tokens are not shown.
How do I call Gemini 4 Argon through DVARA?
Configure the gemini provider in the DVARA LLM Gateway and send the model id gemini-4-argon. DVARA, the AI governance platform, applies your policies, audit and cost attribution to the call. See LLM cost attribution and budgets.
In DVARA, if you haven't set your own price for a model, its calls are costed at the price in the catalogue that ships with your DVARA version. A price you set in Flightdeck always wins. You can switch catalogue prices off. Then a model with no price you set is counted as costing nothing. Every cost record says which price it used.
What should I check before relying on this data?
The weekly review marked this entry. A person saw each mark and kept the model listed.
- The cached-input price is outside the usual 10–50% of the input price.
Which other Google Gemini models are there?
- Gemini 3.8 Flash$0.75 in · $3.75 out · 1.05M context
- Gemini Embedding 001$0.15 in · $0 out · 2K context
- Gemini 3.7 Flash$0.75 in · $3.75 out · 1.05M context
- Gemini Embedding 2$0.2 in · $0 out · 8K context
- Gemini 3.6 Flash$0.75 in · $3.75 out · 1.05M context
- Gemini Flash Latest$0.75 in · $3.75 out · 1.05M context
- Gemini 3.5 Live Translate Preview$3.5 in · $21 out · 16K context
- Gemini Flash-Lite Latest$0.3 in · $2.5 out · 1.05M context
- Gemini 3.5 Flash Lite$0.3 in · $2.5 out · 1.05M context
- Gemini Omni Flash Preview$1.5 in · $17.5 out · 131K context
- Gemini 3.5 Flash$1.5 in · $9 out · 1.05M context
- Gemini 3.1 Pro Preview Custom Tools$2 in · $12 out · 1.05M context
Which models from other providers are similar to Gemini 4 Argon?
These are the closest in context window and input price, one per provider.
- GPT-4.1OpenAI · $2 in · $8 out · 1.05M context
- GPT-5.6 Terra (Global)Amazon Bedrock · $2 in · $12 out · 1.05M context
- Claude Sonnet 5Anthropic · $2 in · $10 out · 1M context
- Qwen3.8 MaxAlibaba Qwen · $1.7774 in · $5.3323 out · 1M context
- GLM-5.2Mistral AI · $1.4 in · $4.4 out · 1.05M context