Subvolts take Google's Gemini 4 Argon model arrives with strong image generation, but watch its price hike next month. Oct 13, 2026 - Developers
- Access a new model with strong SVG capabilities via API for integration into your applications.
- Business
- Evaluate a new premium AI model for potential use, noting its upcoming price adjustment and performance benchmarks.
A new premium model launch with specific image generation strengths and a notable upcoming price increase.
llm-gemini 0.35
Release: llm-gemini 0.35 I added support to llm-gemini for the new Gemini 4 Argon model, made available today via the Gemini API and for customers of their $100/month subscription plan. Here are the low, medium and high pelicans . As expected, they are all excellent: Gemini has a track record of producing great SVGs, and are the only lab where I know their staff have invested in SVG specifically (and who have boasted about their pelicans before.) Here's the "high" illustration, which cost me 17.166 cents: The pricing is interesting. At launch, Argon is $2/million input and $10/million output - the same price as GPT-6 Sol, half the price of Claude Opus 5.5 and 1/5th the price of Claude Fable 5.1 and GPT-6 Astra. But on December 1st Argon is set to double in price - so it will be the same price as Opus 5.5. Prices like this aren't really comparable these days since what really matters is how many tokens a model takes to achieve a goal within an agentic harness. One useful clue for that comes from Artificial Analysis, who publish the total cost to run their benchmark using each model. Argon is looking very good there…
Opening of the original on Simon Willison From Subvolts
Summary and analysis by Subvolts editorial, AI-assisted.
Google Gemini released its new Gemini 4 Argon model, available via the Gemini API and a $100/month subscription. The model offers excellent SVG generation, a known strength for Google. Initial pricing is competitive, but Argon's cost will double on December 1st, making it comparable to other high-end models. Performance in agentic tasks is a key metric for evaluating its true value.
Google just released a new AI model called Gemini 4 Argon. It's good at making images, especially SVGs. The price is low now but will double soon, so it's worth checking its performance before then.
The release of Gemini 4 Argon introduces a new, powerful model for developers and businesses. Its strong SVG capabilities cater to specific creative and design workflows. The tiered pricing, with an upcoming increase, suggests a strategy to capture early adopters before standardizing costs. Competitors like OpenAI and Anthropic also offer premium models, making token efficiency in agentic harnesses the next critical comparison point. Users should monitor benchmark results from sources like Artificial Analysis to gauge Argon's real-world cost-effectiveness.
- Model Name: Gemini 4 Argon
- Availability: Gemini API, $100/month subscription
- Initial Input Price: $2/million
- Initial Output Price: $10/million
- Price Increase Date: December 1st
Gemini 4 Argon's initial pricing is competitive with OpenAI's GPT-6 Sol and cheaper than Anthropic's Opus and Fable models.
- SVG
- Scalable Vector Graphics: an XML-based vector image format for two-dimensional graphics with support for interactivity and animation.
- A type of image file that can be resized without losing quality, often used for logos and graphics.
- agentic harness
- An environment or framework designed to enable autonomous AI agents to perform tasks, often involving multiple steps and decision-making.
- A system that lets AI agents work on tasks by themselves, making decisions along the way.
- tokens
- Units of text or data that language models process. Input and output are measured in tokens, affecting cost and performance.
- Small pieces of text or data that AI models read and write, used to calculate costs and speed.
The Playbook: reusable how-tos, prompts, configs and tips pulled out of the news. From the Playbook, matched to the product and topics of this item.
- Setting tipGemini 4 Argon long decoding context window up to 1,048,576 tokensEnable long decoding for Gemini 4 Argon to process context windows up to 1,048,576 tokens. · 10 min
- Cost tipGemini 4 Argon introductory pricing and discountsLeverage introductory discounts and cached input pricing for significant cost savings on Gemini 4 Argon. · 5 min
- HeuristicGemini 4 Argon's 1M token output limit for long responsesUnderstand the Long Decode Continuation feature for generating up to 1M output tokens. · 10 min
- ToolStitch AI experiment for UI design and frontend code generationStitch is an AI experiment that turns prompts and images into UI designs and frontend code. · 10 min
Questions people ask
- When does the price of Gemini 4 Argon double?
- The price for Gemini 4 Argon is set to double on December 1st.
- How does Gemini 4 Argon's initial pricing compare?
- Initially, Argon costs $2/million input and $10/million output, matching GPT-6 Sol, half of Claude Opus 5.5, and one-fifth of Claude Fable 5.1 and GPT-6 Astra.
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Page generated Oct 19, 2026. Summaries are Subvolts' own; the story belongs to Simon Willison.