Announced introductory API pricing
$2/M input · $10/M output tokens
Usage-based announcement; availability and eligibility apply
- Included scope
- Input and output token billing; cache discount described
AI reasoning models · Official-source review 2026-10-09
Gemini 4 Argon is Google’s announced model for complex coding, enterprise knowledge work and cyber-defense workflows. Its launch article describes long-running tasks and a larger output-token limit.
Relevant to teams evaluating upcoming models for complex professional workflows.
The announcement gives introductory usage pricing of $2 per million input tokens and $10 per million output tokens, with cached input priced 95% below input pricing. It describes a one-million-token output limit. General availability and account eligibility must be confirmed; vendor benchmarks were not independently reproduced.
Confirm that the model is available to the account and review the current model documentation. Evaluate a representative task with cost and output logging before replacing an existing production model.
The announcement gives introductory usage pricing of $2 per million input tokens and $10 per million output tokens, with cached input priced 95% below input pricing. It describes a one-million-token output limit. General availability and account eligibility must be confirmed; vendor benchmarks were not independently reproduced.
Official product evidence reviewed on 2026-10-09; product artwork inspected visually. No hands-on vendor application test was performed. Application performance, security claims and plan enforcement were not independently tested.
What it can do
Unknown is different from unavailable. Each fact carries its own evidence.
| Capability | Value | Evidence | Checked |
|---|---|---|---|
| Product workflow | Gemini 4 Argon is Google’s announced model for complex coding, enterprise knowledge work and cyber-defense workflows. Its launch article describes long-running tasks and a larger output-token limit. | Facts sourced | 2026-10-09 |
| Pricing and restrictions | The announcement gives introductory usage pricing of $2 per million input tokens and $10 per million output tokens, with cached input priced 95% below input pricing. It describes a one-million-token output limit. General availability and account eligibility must be confirmed; vendor benchmarks were not independently reproduced. | Facts sourced | 2026-10-09 |
Understand the total cost
Announced introductory API pricing
$2/M input · $10/M output tokens
Usage-based announcement; availability and eligibility apply
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Explore toolThe practical questions
No. This listing is based on dated official-source evidence and a visual artwork check. Unconfirmed costs and restrictions are identified explicitly.
Gemini 4 Argon is Google’s announced model for complex coding, enterprise knowledge work and cyber-defense workflows. Its launch article describes long-running tasks and a larger output-token limit.
Not confirmed: a public recurring free allowance was not established in the reviewed announcement.. This record does not confirm an ongoing free plan.
$2/M input · $10/M output tokens. See the billing terms below. See the plan cards for entitlements, billing commitments and seat minimums.
Not verified: broad public API availability. The announcement describes an initial rollout to trusted cyber defenders through the Fairwind Program.. API access and subscription access may have different terms; consult the linked sources.
The announcement gives introductory usage pricing of $2 per million input tokens and $10 per million output tokens, with cached input priced 95% below input pricing. It describes a one-million-token output limit. General availability and account eligibility must be confirmed; vendor benchmarks were not independently reproduced.
No retained pricing changes yet. A current price alone does not establish a historical trend.
Current official product source read individually; product artwork inspected visually.
Read original source ↗Official product page reviewed for disclosed costs; unverified prices and allowances are identified in the listing.
Read original source ↗Facts apply to the named version and check date. Send a sourced correction if something changed.