Gemini 4 Argon vs. Hy3 Comparison


Gemini 4 Argon Google	Hy3 Tencent	+	+
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About Gemini 4 Argon is a frontier artificial intelligence model developed by Google DeepMind for complex reasoning, software engineering, cybersecurity, and professional knowledge work. The model supports multimodal inputs, including text, images, audio, video, and PDF documents, with a unified context window of approximately one million tokens. Its advanced reasoning capabilities enable it to analyze difficult problems, maintain context across lengthy workflows, and execute multistep tasks. Gemini 4 Argon supports autonomous AI agents, code generation, application development, scientific research, and analysis of legal and financial information. Developer capabilities include function calling, code execution, structured outputs, search grounding, and preview support for computer use. The model is available through the Gemini API, Google AI Studio, Google Antigravity, and supported Gemini applications and enterprise services.	About Hy3 preview is Tencent Hy’s most intelligent model in the Hy series to date, built as a 295B-parameter Mixture-of-Experts model with 21B activated parameters, 3.8B MTP layer parameters, and support for up to a 256K token context window. As the first model trained on Tencent Hy’s rebuilt infrastructure, Hy3 preview is designed to improve real-world usability across complex reasoning, instruction following, context learning, coding, agent capabilities, and overall inference performance. It integrates both fast and slow thinking capabilities, allowing direct responses for simpler tasks and deeper reasoning for complex math, coding, and reasoning work. The model is built around well-rounded capabilities across long-context understanding, instruction following, tool use, and agent workflows, with evaluation focused not only on standard benchmarks but also on authentic business and development scenarios.
Platforms Supported Windows Not Supported Mac Not Supported Linux Not Supported Cloud Supported On-Premises Not Supported iPhone Not Supported iPad Not Supported Android Not Supported Chromebook Not Supported	Platforms Supported Windows Supported Mac Supported Linux Supported Cloud Supported On-Premises Supported iPhone Not Supported iPad Not Supported Android Not Supported Chromebook Not Supported
Audience Software developers, engineers, AI teams, cybersecurity professionals, financial and legal professionals, researchers, enterprises, and other advanced users that need frontier AI for complex reasoning, long-horizon coding, knowledge work, multimodal analysis, and multi-step agentic workflows	Audience Agent-framework developers who need a large reasoning model for coding, tool use, long-context tasks, and real-world agent workflows
Support Phone Support Not Supported 24/7 Live Support Not Supported Online Supported	Support Phone Support Not Supported 24/7 Live Support Not Supported Online Supported
API Offers API Supported	API Offers API Not Supported
Screenshots and Videos View more images or videos	Screenshots and Videos View more images or videos
Pricing $2 per 1M tokens (input) $2 per million input tokens and $10 per million output tokens, with cached input tokens priced at 95% off input token price. Free Version Not Supported Free Trial Not Supported	Pricing Free Free Version Supported Free Trial Not Supported
Reviews/Ratings Overall 5.0 / 5 ease 5.0 / 5 features 5.0 / 5 design 5.0 / 5 support 5.0 / 5 Read all reviews	Reviews/Ratings Overall 0.0 / 5 ease 0.0 / 5 features 0.0 / 5 design 0.0 / 5 support 0.0 / 5 This software hasn't been reviewed yet. Be the first to provide a review: Review this Software
Pros & Cons from Real Users Pros I can give it a large coding problem, a long research task, or something involving multiple tools and it does a much better job keeping the goal in view instead of slowly wandering off course. Coding is especially strong. Google reports 77.9% on DeepSWE v1.1 and 91.9% on Vibe Code Bench, and it feels very comfortable with repo-level work, multi-file changes, debugging, and longer agent loops. The 1M-token context window is also genuinely useful. I can keep a huge amount of code, documentation, logs, PDFs, and prior work in the same session without constantly trimming context. I also like the tool support. Computer use, code execution, search grounding, file search, function calling, and URL context make Argon feel much more like an agent model than a normal chatbot. Cons The main downside is that it is overkill for simple tasks. I would still use Flash for quick coding help, lightweight automation, or anything where speed and cost matter more than maximum reasoning depth.
Training Documentation Supported Webinars Not Supported Live Online Not Supported In Person Not Supported	Training Documentation Supported Webinars Not Supported Live Online Not Supported In Person Not Supported
Company Information Google Founded: 1998 United States gemini.com	Company Information Tencent Founded: 1998 China hy.tencent.com/research/hy3-preview
Alternatives GPT-6.1 Terra OpenAI	Alternatives Claude Fable 5.1 Anthropic
Claude Sonnet 5.5 Anthropic	Claude Mythos 5.1 Anthropic
Claude Fable 5.1 Anthropic	Claude Fable 5 Anthropic
Gemini 3.5 Flash Google	Nemotron 3 Super NVIDIA
Gemini 3.6 Flash Google View All	Inkling Thinking Machines Lab View All
Categories AI Coding Models Supported AI Models Supported AI Reasoning Models Supported AI Vision Models Supported Foundation Models Supported Large Language Models Supported Multimodal Models Supported	Categories AI Coding Models Supported AI Models Supported AI Reasoning Models Supported Large Language Models Supported

Integrations Bash Supported Cheaper Inference Supported Gemini 3.5 Flash Supported Gemini 3.5 Flash Cyber Supported Gemini 3.8 Flash Cyber Supported Gemini 3.8 Live Supported Gemini Enterprise Supported Gemini Enterprise Agent Platform Notebooks Supported Gemini Managed Agents Supported Gemini Spark Supported Google Supported Google AI Ultra Supported HTML Supported Java Supported Python Supported R Supported Rust Supported TypeScript Supported XML Supported YAML Supported Show More Integrations View All 63 Integrations	Integrations Bash Not Supported Cheaper Inference Not Supported Gemini 3.5 Flash Not Supported Gemini 3.5 Flash Cyber Not Supported Gemini 3.8 Flash Cyber Not Supported Gemini 3.8 Live Not Supported Gemini Enterprise Not Supported Gemini Enterprise Agent Platform Notebooks Not Supported Gemini Managed Agents Not Supported Gemini Spark Not Supported Google Not Supported Google AI Ultra Not Supported HTML Not Supported Java Not Supported Python Not Supported R Not Supported Rust Not Supported TypeScript Not Supported XML Not Supported YAML Not Supported Show More Integrations View All 1 Integration
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