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Llama 4 Scout vs Gemini 3.5 Flash-Lite

At a glance

Meta's efficient multimodal MoE model with 16 experts.

328K ctx$0.10/$0.30 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
328K
Context
16K
Max output
Apr 2025
Released
1.0M
Context
66K
Max output
Jul 2026
Released
Capabilities
Vision
Audio
Reasoning
Vision
Audio
Reasoning
Pricing
Live pricing, shown before you run
Input67%$0.10/M tokens
Output88%$0.30/M tokens
Live pricing, shown before you run
Input$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 4 ScoutGo to model
Chat with Gemini 3.5 Flash-LiteGo to model
Frequently Asked Questions: Llama 4 Scout vs Gemini 3.5 Flash-Lite▼

Which is better, Llama 4 Scout or Gemini 3.5 Flash-Lite?

▼

Both Llama 4 Scout 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 4 Scout or Gemini 3.5 Flash-Lite?

▼

Llama 4 Scout has a lower blended cost. Llama 4 Scout: $0.10 input / $0.30 output. Gemini 3.5 Flash-Lite: $0.30 input / $2.50 output.

Which has a larger context window, Llama 4 Scout or Gemini 3.5 Flash-Lite?

▼

Gemini 3.5 Flash-Lite has a larger context window: Llama 4 Scout supports 328K tokens vs Gemini 3.5 Flash-Lite at 1M tokens.

Do both Llama 4 Scout and Gemini 3.5 Flash-Lite support vision?

▼

Yes, both Llama 4 Scout and Gemini 3.5 Flash-Lite support vision/image input.

What are the key differences between Llama 4 Scout and Gemini 3.5 Flash-Lite?

▼

Key differences: Llama 4 Scout is significantly cheaper; 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 4 Scout and Gemini 3.5 Flash-Lite for free on idapt.app to see which performs better for your specific needs.

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