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GPT 3.5 Turbo 16K vs Gemini 3.8 Flash

At a glance

GPT 3.5 Turbo with extended 16K context window.

16K ctx$3.00/$4.00 per M

Google's most intelligent Flash model, with significant gains over 3.7 Flash across software engineering, agentic tasks, and multi-step reasoning.

1.0M ctx$0.83/$4.13 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
CodingInsufficient data
AgenticInsufficient data
ReasoningInsufficient data
MathInsufficient data
Sources:OpenRouter
Reasoning & Knowledge
Graduate Science—Factual Recall—
Math
Competition Math—
Reasoning
CodingInsufficient data
AgenticInsufficient data
Sources:Epoch AI·OpenRouter· as of 2026-10-02
Cheaper49%
Reasoning & Knowledge
Graduate Science95.4%Factual Recall69.7%
Math
Competition Math98.9%
Specs
16K
Context
4K
Max output
Aug 2023
Released
1.0M
Context
66K
Max output
Sep 2026
Released
Capabilities
Vision
Audio
Reasoning
Vision
Audio
Reasoning
Pricing
Live pricing, shown before you run
Input$3.00/M tokens
Output3%$4.00/M tokens
Live pricing, shown before you run
Input73%$0.83/M tokens
Output$4.13/M tokens
Reasoning$4.13/M tokens
Cache read$0.08/M tokens
Cache write$0.04/M tokens
Image input$0.83/M tokens
Audio input$0.83/M tokens
Web search$0.01/search
Chat with GPT 3.5 Turbo 16KGo to model
Chat with Gemini 3.8 FlashGo to model
Frequently Asked Questions: GPT 3.5 Turbo 16K vs Gemini 3.8 Flash▼

Which is better, GPT 3.5 Turbo 16K or Gemini 3.8 Flash?

▼

Both GPT 3.5 Turbo 16K and Gemini 3.8 Flash 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 3.8 Flash?

▼

Gemini 3.8 Flash has a lower blended cost. GPT 3.5 Turbo 16K: $3.00 input / $4.00 output. Gemini 3.8 Flash: $0.83 input / $4.13 output.

Which has a larger context window, GPT 3.5 Turbo 16K or Gemini 3.8 Flash?

▼

Gemini 3.8 Flash has a larger context window: GPT 3.5 Turbo 16K supports 16K tokens vs Gemini 3.8 Flash at 1M tokens.

Do both GPT 3.5 Turbo 16K and Gemini 3.8 Flash support vision?

▼

Gemini 3.8 Flash 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 3.8 Flash?

▼

Key differences: Gemini 3.8 Flash is significantly cheaper; only Gemini 3.8 Flash supports vision input; only Gemini 3.8 Flash 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 3.8 Flash for free on idapt.app to see which performs better for your specific needs.

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