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GPT 3.5 Turbo 16K vs Gemini 3.5 Flash-Lite

At a glance

GPT 3.5 Turbo with extended 16K context window.

16K ctx$3.00/$4.00 per M

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

1.0M ctx$0.30/$2.50 per M
Agent Demos
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AI Output
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Benchmarks
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Specs
16K
Context
4K
Max output
Aug 2023
Released
1.0M
Context
66K
Max output
Jul 2026
Released
Capabilities
Vision
Audio
Reasoning
Vision
Audio
Reasoning
Pricing
Live pricing, shown before you run
Input$3.00/M tokens
Output$4.00/M tokens
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
Chat with GPT 3.5 Turbo 16KGo to model
Chat with Gemini 3.5 Flash-LiteGo to model
Frequently Asked Questions: GPT 3.5 Turbo 16K vs Gemini 3.5 Flash-Lite▼

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

▼

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

▼

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

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

▼

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

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

▼

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 GPT 3.5 Turbo 16K and Gemini 3.5 Flash-Lite for free on idapt.app to see which performs better for your specific needs.

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