Gemini 4 Argon is generally available: gemini-4-argon ships in the Gemini API and AI Studio with a 1M unified window, long decode and $2/$10 intro pricing
On Oct 13 Google made Gemini 4 Argon globally available: the stable gemini-4-argon model is live on the Gemini API paid tier and AI Studio, in Antigravity for AI Ultra, and in the Gemini app and AI Mode for Pro and Ultra subscribers. Input, thinking and output share a 1,048,576-token window, and background execution lets one response run up to 1M tokens. Intro pricing is $2 input / $10 output per million tokens through Nov 30, then $4 / $20. There is no free tier, explicit caching is unsupported, and temperature/top_p/top_k are ignored.
Key Takeaways
- Model ID
gemini-4-argonis marked GA (Stable) in the Gemini API changelog; text/image/video/audio/PDF in, a 1,048,576-token unified window, 65,536 default synchronous output - Pricing (official): $2 input / $10 output (incl. thinking) per 1M tokens through Nov 30, 2026, then $4 / $20; implicit cache hits at 95% off ($0.10); not on the Free tier or the Google AI Pro plan
- Long decode: with
background: trueandmax_output_tokensabove 65,536 the server chains 64K hops up to ~1M tokens minus input (guide) - Vendor-reported: #1 on Vals Index, 87% on ERQA, 0.7% attack success on Gray Swan indirect prompt injection across 15 adaptive attempts; internally +35% agentic code submissions in Antigravity with roughly a third fewer rollbacks
- Antigravity expands to AI Pro (official @antigravity, Oct 15): Pro gets a separate weekly-only Argon quota alongside the 3.8 Flash bucket, size not published; Google case studies: Gemma 4 E2B on vLLM/A100 went from ~37,900 to 108,000+ tokens/s (2.85x); ADK cut long-session prep time 40% and cold imports 21%
Linked Models & Agents: