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Gemini 4 Argon vs GPT 3.5 Turbo 16K

At a glance

Google's flagship reasoning model, built for complex software engineering, deep mathematical and scientific problem solving, and autonomous multi-step agents.

1.0M ctx$2.00/$10.00 per M

GPT 3.5 Turbo with extended 16K context window.

16K ctx$3.00/$4.00 per M
Demos
All demos

No shared demos for these models yet.

AI Output
All AI outputs

No captured outputs for these models yet.

Benchmarks
See rankings
Reasoning
CodingInsufficient data
AgenticInsufficient data
ReasoningInsufficient data
MathInsufficient data
Sources:OpenRouter
CodingInsufficient data
AgenticInsufficient data
ReasoningInsufficient data
MathInsufficient data
Sources:OpenRouter
Cheaper19%
Specs
1.0M
Context
66K
Max output
Oct 2026
Released
16K
Context
4K
Max output
Aug 2023
Released
Capabilities
Vision
Audio
Reasoning
Vision
Audio
Reasoning
Pricing
Live pricing, shown before you run
Input33%$2.00/M tokens
Output$10.00/M tokens
Reasoning$10.00/M tokens
Cache read$0.10/M tokens
Cache write$0.19/M tokens
Image input$2.00/M tokens
Audio input$2.00/M tokens
Web search$0.01/search
Live pricing, shown before you run
Input$3.00/M tokens
Output60%$4.00/M tokens
Chat with Gemini 4 ArgonGo to model
Chat with GPT 3.5 Turbo 16KGo to model
Frequently Asked Questions: Gemini 4 Argon vs GPT 3.5 Turbo 16K▼

Which is better, Gemini 4 Argon or GPT 3.5 Turbo 16K?

▼

Both Gemini 4 Argon and GPT 3.5 Turbo 16K 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.

Which is cheaper, Gemini 4 Argon or GPT 3.5 Turbo 16K?

▼

GPT 3.5 Turbo 16K has a lower blended cost. Gemini 4 Argon: $2.00 input / $10.00 output. GPT 3.5 Turbo 16K: $3.00 input / $4.00 output.

Which has a larger context window, Gemini 4 Argon or GPT 3.5 Turbo 16K?

▼

Gemini 4 Argon has a larger context window: Gemini 4 Argon supports 1M tokens vs GPT 3.5 Turbo 16K at 16K tokens.

Do both Gemini 4 Argon and GPT 3.5 Turbo 16K support vision?

▼

Gemini 4 Argon supports vision/image input, but GPT 3.5 Turbo 16K does not.

What are the key differences between Gemini 4 Argon and GPT 3.5 Turbo 16K?

▼

Key differences: only Gemini 4 Argon supports vision input; only Gemini 4 Argon offers extended reasoning mode. Compare full specs on this page.

Which model should I choose for my use case?

▼

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 GPT 3.5 Turbo 16K for free on idapt.app to see which performs better for your specific needs.

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