SyncDev model directory · Profile updated Oct 13, 2026
Gemini 4 Argon handles coding, reasoning and multimodal work with a shared 1M-token window and background long decode.
Pricing conditions: Introductory rates through 30 November 2026 are $2/M input, $0.10/M cached input and $10/M output, including thinking. From 1 December, rates become $4, $0.20 and $20 respectively. Only implicit caching is supported. Input, thinking and output share one 1,048,576-token window; synchronous output defaults to 65,536, and longer decode requires background execution.
Recorded modality support shows what this model can accept and produce. An undocumented modality is shown as unknown rather than assumed to be unsupported.
Accepts
Produces
Gemini 4 Argon became publicly available on 13 October 2026 through the Gemini API and Google AI Studio after an earlier restricted introduction. It is designed for demanding coding, reasoning and knowledge work. Text, images, video, audio and PDFs can be supplied as input; responses are text.
The 1,048,576-token limit is shared by input, thinking and output. The synchronous output allowance is 65,536 tokens. Longer responses use background execution and continuation hops; the theoretical 1M maximum is reduced by the tokens already consumed by the request. A 1M input followed by a separate 1M answer is not a valid interpretation of the specification.
Reasoning depth uses low, medium or high, with medium the default. Implicit caching is supported, while explicit cache creation is not. Introductory token rates last through 30 November 2026, after which the listed input, cached-input and output rates double. Include thinking tokens and the date of the workload in a budget, especially for long background jobs.
Replay a demanding task at more than one thinking level. For a long response, verify the completed background interaction and join every output step before judging completeness. Keep a record of input, thinking and generated tokens together. Test that the application handles an exhausted shared context window and interrupted or incomplete background work.
Record the exact model identifier, deployment route and request settings with each result. Count complete runs, including rejected outputs, retries and tool calls. When the workflow creates files or code, open the files or execute the existing checks before accepting the result. A plausible first response can hide an incomplete final deliverable.
The specifications describe supported interfaces and request capacity. They do not establish a measured quality ranking or a latency guarantee for your account. SyncDev has not independently benchmarked this model. Choose a deployment after testing the languages, input formats and operating conditions that matter to your users.
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Compare the model on the work you need to complete.
Gemini 4 Argon is listed for Audio-text-to-text, Image-text-to-text, Text generation, Video-text-to-text, Coding & Code Generation. It accepts text, image, video, audio, pdf and produces text. Use the publisher’s input format and preprocessing for your chosen deployment.
Documented limits: 1.05M context and 1.05M maximum output. The listed route has starting rates of $2.00 input and $10.00 output per million tokens. Measure a completed task using the prompts, documents and tools your application will use. Include reasoning and retries in the result.
Use the model identifier and account requirements for the selected API route. Confirm its request limits and output format with one complete task before connecting a larger workflow.
These records share a directory category. Check the source card, output type and deployment requirements before treating a model as a replacement.
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