Gemini 4 Argon
google/gemini-4-argonGemini 4 Argon is Google's flagship reasoning model and the first model of the Gemini 4 generation, generally available since October 13, 2026. Google trained it to keep context and precision across long, multi-step work such as complex software engineering, legal and financial research, and cybersecurity defense. It accepts text, image, video, audio and PDF input with a 1M-token context window, always reasons before answering with low, medium or high effort, and supports function calling and structured output.
- Input price
- $2.00
$4.00USD / 1M tokens - Output price
- $10.00
$20.00USD / 1M tokens - Cache read
- $0.10
$0.20USD / 1M tokens - Context window
- 1M
- Max output
- 65.5K
Specifications
- Input
- Text, image, audio
- Output
- Text
Independent evaluations
Benchmarks
Scores on standardized evaluations, compared with other models on SandBase.
Metrics sourced from Artificial Analysis · Intelligence Index v5 · Updated 2026-10-29
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OpenAI-compatible endpoint with unified authentication and usage tracking.
# The quoted heredoc keeps Unicode and shell metacharacters unchanged.
result=$(curl --fail-with-body --silent \
-X POST "https://api.sandbase.ai/v1/chat/completions" \
-H "Authorization: Bearer $SANDBASE_API_KEY" \
-H "Content-Type: application/json" \
--data-binary @- <<'SANDBASE_JSON'
{
"model": "google/gemini-4-argon",
"messages": [
{
"role": "user",
"content": "Hello"
}
],
"max_tokens": 2048
}
SANDBASE_JSON
)
printf '%s\n' "$result"Questions
FAQ
How do I call Google Gemini 4 Argon through SandBase?
Create a SandBase API key, then send requests with the model ID "google/gemini-4-argon" to Chat Completions API (/v1/chat/completions) at https://api.sandbase.ai. The request examples on this page show the exact payload.
How much does Google Gemini 4 Argon cost?
$2 per 1M input tokens and $10 per 1M output tokens with the current 50% discount (list price $4 / $20), billed per request from your SandBase balance.
What is the context window of Google Gemini 4 Argon?
1M tokens of context, with up to 65.5K output tokens per response.
How does Google Gemini 4 Argon score on benchmarks?
Google Gemini 4 Argon scores 50.4 on the Artificial Analysis Intelligence Index (v5), ranking #6 of 21 models on SandBase. Source: Artificial Analysis, measured as Gemini 4 Argon (High).
Which features does Google Gemini 4 Argon support?
Google Gemini 4 Argon supports vision (image input), reasoning, function calling, structured output. See Specifications above for the full list.
Do I need a separate Google account?
No. One SandBase API key and balance gives you access to Google Gemini 4 Argon and the other models in the catalog; you do not need to sign up with Google separately.