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Gemini 3.5 Flash-Lite vs GPT 3.5 Turbo 16K

At a glance

Google's high-efficiency model for focused subagent work and multi-agent workflows.

1.0M ctx$0.30/$2.50 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
Cheaper74%
CodingInsufficient data
AgenticInsufficient data
ReasoningInsufficient data
MathInsufficient data
Sources:OpenRouter
Specs
1.0M
Context
66K
Max output
Jul 2026
Released
16K
Context
4K
Max output
Aug 2023
Released
Capabilities
Vision
Audio
Reasoning
Vision
Audio
Reasoning
Pricing
Live pricing, shown before you run
Input90%$0.30/M tokens
Output38%$2.50/M tokens
Reasoning$2.50/M tokens
Cache read$0.03/M tokens
Cache write$0.08/M tokens
Image input$0.30/M tokens
Audio input$0.30/M tokens
Web search$0.01/search
Live pricing, shown before you run
Input$3.00/M tokens
Output$4.00/M tokens
Chat with Gemini 3.5 Flash-LiteGo to model
Chat with GPT 3.5 Turbo 16KGo to model
Frequently Asked Questions: Gemini 3.5 Flash-Lite vs GPT 3.5 Turbo 16K▼

Which is better, Gemini 3.5 Flash-Lite or GPT 3.5 Turbo 16K?

▼

Both Gemini 3.5 Flash-Lite 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 3.5 Flash-Lite or GPT 3.5 Turbo 16K?

▼

Gemini 3.5 Flash-Lite has a lower blended cost. Gemini 3.5 Flash-Lite: $0.30 input / $2.50 output. GPT 3.5 Turbo 16K: $3.00 input / $4.00 output.

Which has a larger context window, Gemini 3.5 Flash-Lite or GPT 3.5 Turbo 16K?

▼

Gemini 3.5 Flash-Lite has a larger context window: Gemini 3.5 Flash-Lite supports 1M tokens vs GPT 3.5 Turbo 16K at 16K tokens.

Do both Gemini 3.5 Flash-Lite and GPT 3.5 Turbo 16K support vision?

▼

Gemini 3.5 Flash-Lite supports vision/image input, but GPT 3.5 Turbo 16K does not.

What are the key differences between Gemini 3.5 Flash-Lite and GPT 3.5 Turbo 16K?

▼

Key differences: Gemini 3.5 Flash-Lite is significantly cheaper; only Gemini 3.5 Flash-Lite supports vision input; only Gemini 3.5 Flash-Lite 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 3.5 Flash-Lite and GPT 3.5 Turbo 16K for free on idapt.app to see which performs better for your specific needs.

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