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Llama 4 Scout vs Gemini 3.5 Flash

Meta's efficient long-context Scout against Gemini Flash.

Figures as of , read live from the model registry Zeplik bills against.

What the numbers say

Derived from the live registry Zeplik routes and bills against. Credits: 1 credit = $0.10, computed from the raw provider rate with a 1.20x margin.

Side by side

Llama 4 Scout

Meta

Llama 4 Scout 17B Instruct (16E) is a mixture-of-experts (MoE) language model developed by Meta, activating 17 billion parameters out of a total of 109B.

Provider
Meta
Context window
328K tokens
Input price
1.2 credits / 1M tokens ($0.10 raw)
Output price
3.6 credits / 1M tokens ($0.30 raw)
Vision (image input)
Yes
Tool calling
Yes
Extended reasoning
No

Best for

  • Everyday chat and drafting on an open-weight model with transparent lineage
  • Long documents: the 328K-token window holds lengthy reports, contracts or papers whole
  • Working with images: screenshots, charts, photos and scanned documents alongside text
  • Tool use and agents: reliably calls functions, so it can search, run skills and drive workflows

Gemini 3.5 Flash

Google

Gemini 3.5 Flash is Google's high-efficiency multimodal model, bringing near-Pro level coding and reasoning at Flash-tier cost and speed.

Provider
Google
Context window
1.0M tokens
Input price
18.0 credits / 1M tokens ($1.50 raw)
Output price
108 credits / 1M tokens ($9.00 raw)
Vision (image input)
Yes
Tool calling
Yes
Extended reasoning
No

Best for

  • High-volume everyday tasks where speed and cost matter: summaries, drafts, quick questions
  • Very long documents and codebases: a 1.0M-token window fits entire books or repositories in one conversation
  • Working with images: screenshots, charts, photos and scanned documents alongside text
  • Tool use and agents: reliably calls functions, so it can search, run skills and drive workflows

Try both on Zeplik

The honest answer to most model debates is to run your own prompt on both. Zeplik puts Llama 4 Scout and Gemini 3.5 Flash in the same chat, so you can switch mid-conversation and compare answers on the work you actually do.

Pick a model and ask. Your prompt opens in the Zeplik app with that model selected.

Model to ask

Frequently asked questions

What is the difference between Llama 4 Scout and Gemini 3.5 Flash?
Llama 4 Scout is about 30x cheaper on output tokens (3.6 vs 108 credits per 1M). Gemini 3.5 Flash takes noticeably more context: 1.0M vs 328K tokens. Gemini 3.5 Flash is the newer release (May 2026 vs April 2025).
Is Llama 4 Scout or Gemini 3.5 Flash cheaper?
Llama 4 Scout is cheaper: 3.6 credits per million output tokens against 108. 1 credit = $0.10, computed from the raw provider rate with a 1.20x margin.
Which has the larger context window, Llama 4 Scout or Gemini 3.5 Flash?
Gemini 3.5 Flash, at 1.0M tokens against 328K.
Can I use both Llama 4 Scout and Gemini 3.5 Flash on Zeplik?
Yes. Zeplik is a multi-model chat, so both sit behind one account and you can switch between them mid-conversation to compare answers on your own prompt.
Do Llama 4 Scout and Gemini 3.5 Flash need a paid plan?
One of the two is open to free accounts; the other needs a paid plan (Plus or above).

Related comparisons

Llama 4 Scout detailsGemini 3.5 Flash detailsAll comparisons

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