Gemini 4 Argon Pricing & API Specs
gemini-4-argonGemini 4 Argon is Google's flagship reasoning model, built for complex software engineering, deep mathematical and scientific problem solving, and autonomous multi-step agents. Google trained it to keep context across... Built by Google.
Prices updated
Input price
$2.00
per 1M tokens · Standard
Output price
$10
per 1M tokens · Standard
Input limit
1M
tokens
Output limit
944K
tokens
Input formats
Output formats
Gemini 4 Argon price history
2 price records since 10/18/2026
Gemini 4 Argon cost calculator
$90/month
Standard pricing
Overview
What is Gemini 4 Argon?
Gemini 4 Argon is a text & reasoning and vision model from Google priced at $2.00 input and $10 output per 1M tokens, with a 1M context window. It sits in the higher price range, so it fits quality-focused work; no AA Intelligence score has been published yet.
Benchmarks
Gemini 4 Argon benchmarks & speed
How Gemini 4 Argon scores on standardized evaluations, and where it lands among every model we track.
1327
DesignArena Elo
Latency & design
- DesignArena win rate
- 53.9%
- Design battles judged
- 17,567
Independent scores from Artificial Analysis and DesignArena · updated 10/30/2026. Higher is better; ranks compare against every model we track with that score.
Rates
Gemini 4 Argon pricing
Pricing is based on token usage. Provider-specific caching, batch, regional, and tool charges may affect the final cost.
Input · Standard
$2.00
Per 1M tokens
Cached input · Standard
$0.10
Per 1M tokens
Capabilities
Gemini 4 Argon Tools
Tools available when using Gemini 4 Argon through supported provider APIs.
Function calling
Supported
Structured outputs
Supported
JSON mode
Supported
Reasoning
Supported
Built-in web search
Not listed
Log probabilities
Not listed
Deterministic seed
Supported
Parallel tool calls
Not listed
Prompt caching
Supported
Where to run it
Gemini 4 Argon API providers
6 providers serve Gemini 4 Argon. Prices are per 1M tokens; uptime is the last 24 hours.
| Provider | Input | Output | Cached | Context | Uptime |
|---|---|---|---|---|---|
| Google AI Studio | $1.00 | $5.00 | $0.05 | 1M | 100% |
| $2.00 | $10 | $0.10 | 1M | 99.65% | |
| Google AI Studio | $2.00 | $10 | $0.10 | 1M | 95.49% |
| $2.20 | $11 | $0.11 | 1M | 97.55% | |
| $3.60 | $18 | $0.18 | 1M | 81.25% | |
| Google AI Studio | $3.60 | $18 | $0.18 | 1M | 88.89% |
- Input
- $1.00
- Output
- $5.00
- Cached
- $0.05
- Context
- 1M
- Uptime
- 100%
- Input
- $2.00
- Output
- $10
- Cached
- $0.10
- Context
- 1M
- Uptime
- 99.65%
- Input
- $2.00
- Output
- $10
- Cached
- $0.10
- Context
- 1M
- Uptime
- 95.49%
- Input
- $2.20
- Output
- $11
- Cached
- $0.11
- Context
- 1M
- Uptime
- 97.55%
- Input
- $3.60
- Output
- $18
- Cached
- $0.18
- Context
- 1M
- Uptime
- 81.25%
- Input
- $3.60
- Output
- $18
- Cached
- $0.18
- Context
- 1M
- Uptime
- 88.89%
Strengths and limitations
Strengths
- Price rank 272 of 330 tracked models (1 = cheapest, by blended price).
- Blended price at 3 input : 1 output is $4.00 per 1M tokens.
- 1M input + 250K output tokens costs about $4.50.
- Context window 1M vs a median of 262K (4.0× larger).
Limitations
- Generated tokens cost 5× more than input tokens, which matters for verbose responses.
- Large context capacity does not guarantee consistent retrieval across the entire prompt.
- Benchmarks are directional; test accuracy, latency and reliability on your own workload before committing.
Public listed prices, checked Nov 9, 2026. Benchmarks as published by their sources. Confirm with the provider.
Same provider