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Llama 4 Maverick vs Llama 3.3 70B Instruct

Llama 4 against the 3.3 workhorse a huge install base still runs.

What the numbers say

Derived from the live registry Zeplik routes and bills against. Credits: 1 credit = $0.10, raw provider rate with a 1.10x margin.

Side by side

Llama 4 Maverick

Meta

Llama 4 Maverick 17B Instruct (128E) is a high-capacity multimodal language model from Meta, built on a mixture-of-experts (MoE) architecture with 128 experts and 17 billion active parameters per forward...

Provider
Meta
Context window
128K tokens
Input price
2.2 credits / 1M tokens ($0.20 raw)
Output price
7.7 credits / 1M tokens ($0.70 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 3.3 70B Instruct

Meta

The Meta Llama 3.3 multilingual large language model (LLM) is a pretrained and instruction tuned generative model in 70B (text in/text out). The Llama 3.3 instruction tuned text only model...

Provider
Meta
Context window
131K tokens
Input price
1.1 credits / 1M tokens ($0.10 raw)
Output price
3.5 credits / 1M tokens ($0.32 raw)
Vision (image input)
No
Tool calling
Yes
Extended reasoning
No

Best for

  • Everyday chat and drafting on an open-weight model with transparent lineage
  • Tool use and agents: reliably calls functions, so it can search, run skills and drive workflows

Try Llama 4 Maverick on Zeplik

The honest answer to most model debates is to run your own prompt. Of these two, Llama 4 Maverick is the row Zeplik offers, so start there and switch models mid-conversation whenever you want a second read.

Ask Llama 4 Maverick anything. Your prompt opens in the Zeplik app with this model selected.

Llama 4 Maverick

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Llama 4 Maverick vs Llama 3.3 70B Instruct - Which AI Model to Use | Zeplik Chat