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Llama 3.2 11B Vision vs Gemini 3.5 Flash-Lite

At a glance

Compact 11B vision model from Meta for multimodal tasks.

131K ctx$0.34/$0.34 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
131K
Context
16K
Max output
Sep 2024
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$0.34/M tokens
Output86%$0.34/M tokens
Live pricing, shown before you run
Input13%$0.30/M tokens
Output$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 Llama 3.2 11B VisionGo to model
Chat with Gemini 3.5 Flash-LiteGo to model
Frequently Asked Questions: Llama 3.2 11B Vision vs Gemini 3.5 Flash-Lite▼

Which is better, Llama 3.2 11B Vision or Gemini 3.5 Flash-Lite?

▼

Both Llama 3.2 11B Vision 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, Llama 3.2 11B Vision or Gemini 3.5 Flash-Lite?

▼

Llama 3.2 11B Vision has a lower blended cost. Llama 3.2 11B Vision: $0.34 input / $0.34 output. Gemini 3.5 Flash-Lite: $0.30 input / $2.50 output.

Which has a larger context window, Llama 3.2 11B Vision or Gemini 3.5 Flash-Lite?

▼

Gemini 3.5 Flash-Lite has a larger context window: Llama 3.2 11B Vision supports 131K tokens vs Gemini 3.5 Flash-Lite at 1M tokens.

Do both Llama 3.2 11B Vision and Gemini 3.5 Flash-Lite support vision?

▼

Yes, both Llama 3.2 11B Vision and Gemini 3.5 Flash-Lite support vision/image input.

What are the key differences between Llama 3.2 11B Vision and Gemini 3.5 Flash-Lite?

▼

Key differences: 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 Llama 3.2 11B Vision and Gemini 3.5 Flash-Lite for free on idapt.app to see which performs better for your specific needs.

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