Briefing · new model
Gemini 4 Argon launched with introductory pricing of $2 per million input tokens and $10 per million output tokens
Google released Gemini 4 Argon, a frontier model available via API in AI Studio and the Gemini platform. The model features an introductory price valid until November 30, 2026, after which rates increase to $4 per million input tokens and $20 per million output tokens. It supports a 1M unified input-output token limit. Source: Google, read on .
What the source says
The introductory price for Gemini 4 Argon is $2 per million input tokens and $10 per million output tokens.
“The model launches today at an introductory price 1 of $2 per million input tokens and $10 per million output tokens”
Cached input tokens are discounted by 95% during the introductory period.
“(with cached input tokens at 95% off)”
After the introductory period ends on November 30, 2026, the standard price becomes $4 per 1M input tokens and $20 per 1M output tokens.
“After the introductory period expires on November 30, 2026, the price of $4 per 1M input tokens and $20 per 1M output tokens will apply.”
The model offers a 1 million token unified input-output context window via the Gemini API.
“This is enabled by an industry-leading 1M unified input-output token limit via the Gemini API.”
Where this lands in our prices Calculated cost per task at today's listed prices
Models named in the source that we already track, with the standard tasks recalculated by our engine at the prices listed today — visible output only, no cache discount. These numbers are ours, not the source's.
| Model | L1 micro | L2 analysis | L3 agentic | |
|---|---|---|---|---|
| Google: Gemini 4 Argon | $0.0050 | $0.348 | $2.72 | Open in the calculator |
| Google: Nano Banana (Gemini 2.5 Flash Image) | $0.0009 | $0.055 | $0.417 | Open in the calculator |
What to check
- Update cost estimates for applications using Gemini 4 Argon to reflect the post-November 30, 2026 pricing structure.
- Verify if current workloads benefit from the 95% discount on cached input tokens during the introductory phase.
- Check configuration settings for the new continuation protocol required for the 1M token context window.
- Review access tiers (AI Ultra vs Pro) to determine availability in the Gemini app versus the API.
How this page is made
The quotes above are copied word for word from the source page as read on 17 Oct 2026 and checked against its text. Any task-cost figures are calculated from our own tracked prices on the build date; the source did not provide them. This is a dated record of what the source published, not advice.