Llama 4 Maverick vs Llama 4 Scout
Llama 4's two personalities, Maverick capability against Scout efficiency.
Figures as of , read live from the model registry Zeplik bills against.
What the numbers say
- Llama 4 Scout is about 2.2x cheaper on output tokens (3.6 vs 7.8 credits per 1M).
- Llama 4 Scout takes noticeably more context: 328K vs 128K tokens.
- Llama 4 Maverick is the newer release (April 2025 vs April 2025).
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 Maverick
Meta
- Provider
- Meta
- Context window
- 128K tokens
- Input price
- 2.2 credits / 1M tokens ($0.19 raw)
- Output price
- 7.8 credits / 1M tokens ($0.65 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
- 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
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
Try both on Zeplik
The honest answer to most model debates is to run your own prompt on both. Zeplik puts Llama 4 Maverick and Llama 4 Scout in the same chat, so you can switch mid-conversation and compare answers on the work you actually do.
Frequently asked questions
- What is the difference between Llama 4 Maverick and Llama 4 Scout?
- Llama 4 Scout is about 2.2x cheaper on output tokens (3.6 vs 7.8 credits per 1M). Llama 4 Scout takes noticeably more context: 328K vs 128K tokens. Llama 4 Maverick is the newer release (April 2025 vs April 2025).
- Is Llama 4 Maverick or Llama 4 Scout cheaper?
- Llama 4 Scout is cheaper: 3.6 credits per million output tokens against 7.8. 1 credit = $0.10, computed from the raw provider rate with a 1.20x margin.
- Which has the larger context window, Llama 4 Maverick or Llama 4 Scout?
- Llama 4 Scout, at 328K tokens against 128K.
- Can I use both Llama 4 Maverick and Llama 4 Scout 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 Maverick and Llama 4 Scout 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 Maverick vs DeepSeek V4 Pro 0423The two most-watched open-weight flagships, Meta scale against DeepSeek reasoning.
- Llama 4 Scout vs Gemini 3.5 FlashMeta's efficient long-context Scout against Gemini Flash.
- Llama 4 Maverick vs Qwen3.7 MaxMeta's open flagship against Alibaba's top Qwen tier.
- Llama 4 Maverick vs Mistral Medium 3.5Meta's open flagship against Europe's leading lab at its capability tier.
- Llama 4 Maverick vs Llama 3.3 70B InstructLlama 4 against the 3.3 workhorse a huge install base still runs.
Explore Zeplik
- 468 AI skillsReady-to-run expert methods that run on Llama 4 Maverick, Llama 4 Scout or any other model.
- 997 integrationsConnect Gmail, Slack, GitHub, Notion and hundreds more so the assistant can work in your apps.
- Simple pricingPlus, Pro and Max plans with a monthly credit allowance that works across every model.