Google's flagship reasoning model, built for complex software engineering, deep mathematical and scientific problem solving, and autonomous multi-step agents.
The open-weight variant of Qwen3.8 Max, with 95 billion active parameters out of 2.4 trillion total.
No shared demos for these models yet.
No captured outputs for these models yet.
Both Gemini 4 Argon and Qwen3.8 2.4T A95B 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.
Qwen3.8 2.4T A95B has a lower blended cost. Gemini 4 Argon: $2.00 input / $10.00 output. Qwen3.8 2.4T A95B: $2.00 input / $6.00 output.
Gemini 4 Argon has a larger context window: Gemini 4 Argon supports 1M tokens vs Qwen3.8 2.4T A95B at 1M tokens.
Gemini 4 Argon supports vision/image input, but Qwen3.8 2.4T A95B does not.
Key differences: only Gemini 4 Argon supports vision input. 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 Qwen3.8 2.4T A95B for free on idapt.app to see which performs better for your specific needs.