Gemini 4 Argon
Released
Gemini 4 Argon is an AI model released by Google on Wednesday, Sep 30 2026, 28 days after Gemini 3.8 Flash Cyber. Benchmark results (shown below) cover Gray Swan IPI, DeepSWE 1.1, FrontierSWE V2, LAB-Bench 2, Finance Agent v2, LVBench, and 6 more.
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API pricing
- InputWhat you pay for everything you send the model — your question, plus any documents or earlier conversation you include with it.
- $2.00
- Cached inputA reduced rate for text you send over and over. If every request starts with the same instructions or the same document, the provider keeps a copy ready and charges less to read it again.
- $0.10
- OutputWhat you pay for the text the model writes back. It is normally the dearer half: producing an answer costs more than reading one.
- $10.00
- Reasoning or thinking is supported.
- Introductory pricing. Once it expires, $4 per million input tokens and $20 per million output tokens apply.
- Rolling out first to trusted cyber defenders through the Fairwind Program, then to paid API customers and Google AI Ultra subscribers.
Benchmarks
Coding
Terminal & CLI
Agentic & tool use
Reasoning & science
Finance
Legal & tax
Multimodal
Robustness
Compare Gemini 4 Argon with
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Gemini 4 Argon, announced September 30, 2026, was Google's first new frontier model since Gemini 3.1 Pro in February, after seven months in which every Gemini upgrade had landed on the Flash tier. Google did not open it to everyone at once: Argon went first to trusted cyber defenders through its Fairwind Program, unrestricted by cyber guardrails, with paid API customers and Google AI Ultra subscribers promised next, once early-tester feedback had shaped the safeguards. Google also put it through the US government's voluntary pre-release access process. The announced introductory price was $2 per million input tokens and $10 per million output, with cached input 95% cheaper, rising to $4 and $20 once the introductory period ended, and the output limit rose to 1M tokens from the previous 64K, so that a single trajectory could think and write for hundreds of thousands of tokens.
Google's launch table set it against GPT-6 Astra and led with long-horizon coding and knowledge work. It scored 77.9% on DeepSWE v1.1, which Google called a new state of the art, 51.3% on AutomationBench, 65.4% on Vals Finance Agent v2, 19.6% on Harvey's Legal Agent Benchmark and 68.9% on the Vals Index, all ahead of Astra in Google's comparison, along with 91.7% on LVBench for long video. Google also reported a 0.7% attack success rate on Gray Swan's indirect prompt injection benchmark at fifteen attempts, the lowest in its comparison, against 1.0% for Claude Opus 5.5 and Claude Fable 5.1. Astra came out ahead on FrontierSWE v2 (65.5% against Argon's 55.0%), Terminal-Bench Science 0.1 and OSWorld 2.0, and the two were close on Terminal-Bench 4.0, where Argon scored 57.4%. Security was the other half of the pitch: Argon tied for first on CWE-bench v1 at 68.0%, and in an early run through Wiz's Scan for Good programme it found a critical flaw exposing personal data in healthcare software used by hospitals worldwide. Internally, Google said, Argon agents had freed more than 300 TiB of memory across its data centres and were porting C and C++ code to Rust, from libraries like re2 up to the 800,000-line Fuchsia Zircon kernel.
Frequently asked questions
Gemini 4 Argon was released by Google on Wednesday, Sep 30 2026.