Google DeepMind has made its Gemini 4 Argon API generally available to developers, enterprises, and paid Gemini subscribers. Gemini 4 Argon is a sparse mixture-of-experts frontier model built for long, multi-step work, with target domains including coding, finance, legal, science, and cybersecurity.
Key points
- Gemini 4 Argon API is now generally available to developers and subscribers.
- The model features a 1 million token output limit for long-form content.
- Argon is designed for coding, finance, legal, science, and cybersecurity tasks.
- It achieved a 91.7% score on the LVBench long video understanding benchmark.
The model was first announced on September 30 for a select group of cyber defenders and is now accessible via the paid Gemini API at introductory pricing of $2 per input million tokens and $10 per output million tokens.
A key enhancement for developers is the increased output length, with Argon capable of generating up to 1 million tokens in a single response, a significant increase from the 64K limit on earlier Gemini models. The model card indicates a combined input and output window of up to 1 million tokens, meaning a lengthy prompt will reduce available output space.
By the numbers
- Maximum output limit
- 1M tokens
- Output cost per million tokens
- $10
- LVBench score
- 91.7%
Gemini 4 Argon is described as a new, large-scale sparse MoE transformer with native multimodal support, accepting text, images, audio, and video inputs, and producing text outputs. It was trained on TPUs using JAX and ML Pathways, with a knowledge cutoff of March 2026. Google has not disclosed parameter counts.
Performance benchmarks show Argon leading Google's internal tables for knowledge work, long context, and video understanding, achieving 91.7% on LVBench. However, it performed less strongly on agentic coding tasks, scoring 55.0% on FrontierSWE v2, placing it last among four models in Google's comparison.
Sources and references
Original report
Google Releases Gemini 4 Argon API With 1M Token Output Limit
MarkTechPost
Read on MarkTechPost (opens in a new tab)Linked in the original report
- Linkblog.google/innovation-and-ai/models-and-research/g… (opens in a new tab)
- Linkblog.google/innovation-and-ai/models-and-research/g… (opens in a new tab)
- Paperstorage.googleapis.com/deepmind-media/Model-Cards/Gemini-4-Arg… (opens in a new tab)
- Linkaistudio.google.com/docs/long-decode (opens in a new tab)
- Linkdocs.cloud.google.com/gemini-enterprise-agent-platform/models… (opens in a new tab)
- Linkvals.ai/benchmarks/vals_index (opens in a new tab)
Ref 004UJEM1
Reported by 6 outlets.See who reported what
Cite this
APA
Interestana AI Editorial. (2026, October 14). Google Releases Gemini 4 Argon API With 1M Token Output. Interestana. https://interestana.com/articles/google-releases-gemini-4-argon-api-with-1m-token-output-limit-004ujem1
MLA
“Google Releases Gemini 4 Argon API With 1M Token Output.” Interestana, 14 Oct. 2026, interestana.com/articles/google-releases-gemini-4-argon-api-with-1m-token-output-limit-004ujem1.
Chicago
Interestana AI Editorial. “Google Releases Gemini 4 Argon API With 1M Token Output.” Interestana, October 14, 2026. https://interestana.com/articles/google-releases-gemini-4-argon-api-with-1m-token-output-limit-004ujem1.
BibTeX
@misc{interestana_004ujem1,
author = {{Interestana AI Editorial}},
title = {{Google Releases Gemini 4 Argon API With 1M Token Output}},
howpublished = {Interestana},
year = {2026},
month = oct,
url = {https://interestana.com/articles/google-releases-gemini-4-argon-api-with-1m-token-output-limit-004ujem1},
note = {Summary of reporting by MarkTechPost, https://www.marktechpost.com/2026/10/13/google-gemini-4-argon-api-release/}
}Credit the source
Original reporting: MarkTechPost, “Google Releases Gemini 4 Argon API With 1M Token Output Limit”, https://www.marktechpost.com/2026/10/13/google-gemini-4-argon-api-release/(opens in a new tab)
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