Gemini 4 Argon
Gemini 4 Argon is a frontier model with advanced reasoning and a 1-million-token output limit. Google says it is designed for complex work, including coding and cybersecurity defense.
What it does
People can use it to analyze complex documents and data, write and refactor code, and support professional and scientific workflows.
- Availability
- Globally available today
- Pricing model
- Introductory price of $2 per million input tokens and $10 per million output tokens; cached input tokens are 95% off
- Deployment
- Via the API in AI Studio and Gemini platform; also available in Google Antigravity, Gemini app, and AI Mode in Search for specified subscribers
- Privacy
- Not established
- Licence
- Not established
Capability
Modality
Access
Deployment
Pricing
Target user
Evidence
10 claims- Gemini 4 Argon has a 1-million-token output limit. [1]
Built with an industry-leading 1-million-token output limit, Argon excels at heavy-duty workloads like coding, cybersecurity defense, and knowledge work like financial research and legal drafting, and autonomous cybersecurity patching.
Google. Quoted text is outside CC BY 4.0 and keeps its original rights. - Enterprise developers and builders can access Argon via API in Gemini platform under model ID gemini-4-argon. [2]
Enterprise developers and builders can access Argon via API in Gemini platform under model ID gemini-4-argon , in Google AI Studio , and in Google Antigravity .
Google. Quoted text is outside CC BY 4.0 and keeps its original rights. - Argon proposed six optimizations across 32 files in the ADK codebase. [2]
In total, Argon's pull request proposed six optimizations across 32 files.
Google. Quoted text is outside CC BY 4.0 and keeps its original rights. - The overnight run used Argon to find and fix cross-file performance bottlenecks. [2]
For the launch of Gemini 4 Argon, we wanted to test whether it could run unattended overnight on a much harder problem: finding and fixing cross-file performance bottlenecks in google/adk-python .
Google. Quoted text is outside CC BY 4.0 and keeps its original rights. - Gemini 4 Argon is globally available to developers and enterprises via the API in AI Studio and Gemini platform. [3]
Gemini 4 Argon is now globally available today for developers and enterprises via the API in AI Studio and Gemini platform , for Google AI Ultra subscribers in Google Antigravity , and Google AI Ultra and Pro subscribers in the Gemini app and AI Mode in Search .
Google. Quoted text is outside CC BY 4.0 and keeps its original rights. - Google AI Ultra subscribers can access Argon in Google Antigravity. [3]
Gemini 4 Argon is now globally available today for developers and enterprises via the API in AI Studio and Gemini platform , for Google AI Ultra subscribers in Google Antigravity , and Google AI Ultra and Pro subscribers in the Gemini app and AI Mode in Search .
Google. Quoted text is outside CC BY 4.0 and keeps its original rights. - The introductory price is $2 per million input tokens and $10 per million output tokens. [3]
of $2 per million input tokens and $10 per million output tokens (with cached input tokens at 95% off).
Google. Quoted text is outside CC BY 4.0 and keeps its original rights. - Cached input tokens are priced at 95% off. [3]
of $2 per million input tokens and $10 per million output tokens (with cached input tokens at 95% off).
Google. Quoted text is outside CC BY 4.0 and keeps its original rights. - Argon supports deep multimodal document comprehension, longitudinal data analysis, and interactive analytical sandboxes. [3]
Using its advanced reasoning and multimodal capabilities while maintaining strict grounding, Argon excels in deep multimodal document comprehension, longitudinal data analysis, and interactive analytical sandboxes.
Google. Quoted text is outside CC BY 4.0 and keeps its original rights. - Google says Argon brings improvements in spatial reasoning, mathematical precision, and visual coding compared with previous Gemini models. [3]
Delivering complex 3D visualizations: Argon brings major improvements in spatial reasoning, mathematical precision, and visual coding compared to previous Gemini models.
Google. Quoted text is outside CC BY 4.0 and keeps its original rights.
Sources
3
1
GoogleOwner-controlled
https://blog.google/innovation-and-ai/technology/ai/google-ai-updates-september-2026/
Retrieved 2026-10-28 00:27 UTC
Verified
2
GoogleOwner-controlled
https://developers.googleblog.com/optimizing-a-200000-line-python-codebase-overnight-with-gemini-4-argon/
Retrieved 2026-10-28 00:27 UTC
Verified
3
GoogleOwner-controlled
https://blog.google/innovation-and-ai/models-and-research/gemini-models/introducing-gemini-4-argon/
Retrieved 2026-10-28 00:27 UTC
Verified
Versions
17| Version | Effective | Change | Changed fields | State |
|---|---|---|---|---|
| 17 | 2026-10-26 01:36 UTC | material change | modality, pricing, availability, deployment | Current |
| 16 | 2026-10-25 01:33 UTC | material change | modality, pricing, availability, deployment | Current |
| 15 | 2026-10-24 02:04 UTC | material change | modality, pricing, availability, deployment | Current |
| 14 | 2026-10-23 01:46 UTC | material change | modality, pricing, availability, deployment | Current |
| 13 | 2026-10-22 02:26 UTC | material change | modality, pricing, availability, deployment | Current |
| 12 | 2026-10-22 02:26 UTC | material change | capability, availability | Current |
| 11 | 2026-10-21 03:21 UTC | material change | modality, pricing, availability, deployment | Current |
| 10 | 2026-10-20 04:11 UTC | material change | capability, modality, pricing, availability, deployment | Current |
| 9 | 2026-10-20 04:11 UTC | material change | capability, availability, deployment | Current |
| 8 | 2026-10-19 05:11 UTC | material change | capability, modality, pricing, availability, deployment | Current |
| 7 | 2026-10-18 06:01 UTC | material change | capability, modality, pricing, availability, deployment | Current |
| 6 | 2026-10-17 07:00 UTC | material change | capability, modality, pricing, availability, deployment | Current |
| 5 | 2026-10-16 07:55 UTC | material change | modality, pricing, availability, deployment | Current |
| 4 | 2026-10-16 07:55 UTC | material change | capability, availability, deployment | Current |
| 3 | 2026-10-15 08:47 UTC | material change | modality, pricing, availability, deployment | Current |
| 2 | 2026-10-14 09:39 UTC | material change | modality, access, pricing, availability, pricing model, deployment | Current |
| 1 | 2026-10-02 20:44 UTC | publication | None | Current |
In briefs
2- Backburner leads 25 AI developments in week 40, 2026 Weekly brief 2026-W40
- Google introduces Gemini 4 Argon reasoning model Daily brief 2026-10-02
Original catalog content is licensed under CC BY 4.0, attributed to wowsuchai. Source quotations and linked content keep their original rights.
