Google's flagship reasoning model, built for complex software engineering, deep mathematical and scientific problem solving, and autonomous multi-step agents.
Qwen's largest MoE model with 397B total parameters, 17B active.
No shared demos for these models yet.
No captured outputs for these models yet.
Both Gemini 4 Argon and Qwen3.5 397B A17B are capable AI models. The best choice depends on your specific use case: consider pricing, context window, speed, and which capabilities (vision, reasoning, audio) you need.
Qwen3.5 397B A17B has a lower blended cost. Gemini 4 Argon: $2.00 input / $10.00 output. Qwen3.5 397B A17B: $0.50 input / $3.60 output.
Gemini 4 Argon has a larger context window: Gemini 4 Argon supports 1M tokens vs Qwen3.5 397B A17B at 262K tokens.
Yes, both Gemini 4 Argon and Qwen3.5 397B A17B support vision/image input.
Key differences: Qwen3.5 397B A17B is significantly cheaper. Compare full specs on this page.
If cost is your priority, choose the cheaper option. If you need the highest intelligence for complex tasks, pick the higher-scoring model. For long documents or codebases, choose the larger context window. You can try both Gemini 4 Argon and Qwen3.5 397B A17B for free on idapt.app to see which performs better for your specific needs.