Google's flagship reasoning model, built for complex software engineering, deep mathematical and scientific problem solving, and autonomous multi-step agents.
OpenAI's most powerful reasoning model — top across math, coding, and science.
No shared demos for these models yet.
No captured outputs for these models yet.
Both Gemini 4 Argon and o3 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.
o3 has a lower blended cost. Gemini 4 Argon: $2.00 input / $10.00 output. o3: $2.00 input / $8.00 output.
Gemini 4 Argon has a larger context window: Gemini 4 Argon supports 1M tokens vs o3 at 200K tokens.
Yes, both Gemini 4 Argon and o3 support vision/image input.
Gemini 4 Argon and o3 have similar overall capabilities. The main differences lie in pricing, context window size, and provider-specific strengths. Use this comparison page to review all metrics side by side.
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 o3 for free on idapt.app to see which performs better for your specific needs.