Gemini for
Enterprise AI in Turkey

Gemini 4 Argon is Google's new flagship model. Google announced it on September 30, 2026, with first access limited to trusted cyber defenders in its Fairwind Program. It opened to developers on October 13, 2026 and was added to the Onysoft catalog as google/gemini-4-argon. Google positions it for long, multi-step work such as software engineering, enterprise knowledge work and cybersecurity defense.

The live TL price is shown in the table on this page. As of October 17, 2026, the Onysoft list price is $3 per 1M input tokens and $15 per 1M output tokens, Google applies its current Argon pricing through November 30, 2026 and doubles the unit prices from December 1, 2026; our catalog price is expected to change accordingly.

You load your balance in TRY, and usage is deducted at the current TCMB exchange rate. There is no subscription — Gemini API pricing is pure pay-as-you-go, and you can see up-to-date TL prices for each model on this page and in the Playground.

Onysoft AI Gateway is operated in compliance with KVKK (Turkey's data protection law) by Izmir-based Onysoft Veri Merkezi A.S., so your contract and invoicing counterparty is a Turkish legal entity. Requests are transmitted securely over the API and your content is not used for purposes like ad profiling.

Pick the new flagship Gemini 4 Argon for the hardest reasoning, long-horizon agent work, software engineering and long documents. For a speed-quality balance on everyday workloads, start with Gemini 3.8 Flash (3.7 Flash, 3.6 Flash and 3.5 Flash are also in the catalog), and use Gemini 3.1 Flash Lite for very high-volume simple tasks. The previous flagship Gemini 3.1 Pro stays available for workflows already tested on it.

Yes. Onysoft exposes an OpenAI-compatible API: set base_url to https://api.onysoft.com/v1 and change the model name to e.g. google/gemini-4-argon. Everything built on the OpenAI SDK — Python, Node.js, LangChain and similar tooling — works unchanged.

You can send roughly 750,000 words — thousands of pages — in a single request. That means analyzing an entire codebase, a year of annual reports or a full set of contracts without chunking; cost simply scales with the number of tokens you send.

According to Google's model documentation, Argon has a single 1,048,576-token budget shared by input and output, so a long prompt leaves less room for the response. The default output limit is 65,536 tokens; Google states that long decode mode raises it to as much as 1,048,576 tokens. For jobs that need very long outputs, set max_tokens explicitly and verify the limit with a small test first.

Argon is the newest top-tier model in the Gemini family, coming after 3.1 Pro; Google positions it for long, multi-step work. At October 17, 2026 list prices, input costs the same for prompts under 200,000 tokens ($3), while Argon's output price is lower than 3.1 Pro's ($15 vs $18 per 1M output tokens). That reflects Google's introductory pricing period; Argon's price rises after December 1, 2026. We recommend running workflows already tested on 3.1 Pro side by side on both models before switching.

Yes — Gemini is natively multimodal, so photos, screenshots, scans, PDFs and audio can be processed directly through the API. For invoice reading, form parsing or visual Q&A you don't need to run a separate OCR service.

Yes — every balance top-up comes with a corporate e-invoice issued to your company. You can book it directly as an expense, with no cross-border payments, withholding-tax questions or exchange-rate reconciliation to manage.

Yes — the Onysoft Playground lets you test every Gemini model right in your browser. Running the same prompt across different models to compare quality and cost before integrating is the smart way to start.