Llama 4 Maverick vs Llama 3.3 70B Instruct
Llama 4 against the 3.3 workhorse a huge install base still runs.
Figures as of , read live from the model registry Zeplik bills against.
What the numbers say
- Llama 3.3 70B Instruct is about 2.0x cheaper on output tokens (3.8 vs 7.8 credits per 1M).
- Llama 4 Maverick accepts images; Llama 3.3 70B Instruct is text-only.
- Llama 4 Maverick is the newer release (April 2025 vs December 2024).
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
The Meta Llama 3.3 multilingual large language model (LLM) is a pretrained and instruction tuned generative model in 70B (text in/text out).
- Provider
- Meta
- Context window
- 131K tokens
- Input price
- 1.2 credits / 1M tokens ($0.10 raw)
- Output price
- 3.8 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 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 3.3 70B Instruct 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 3.3 70B Instruct?
- Llama 3.3 70B Instruct is about 2.0x cheaper on output tokens (3.8 vs 7.8 credits per 1M). Llama 4 Maverick accepts images; Llama 3.3 70B Instruct is text-only. Llama 4 Maverick is the newer release (April 2025 vs December 2024).
- Is Llama 4 Maverick or Llama 3.3 70B Instruct cheaper?
- Llama 3.3 70B Instruct is cheaper: 3.8 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 3.3 70B Instruct?
- Llama 3.3 70B Instruct, at 131K tokens against 128K.
- Can I use both Llama 4 Maverick and Llama 3.3 70B Instruct 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 3.3 70B Instruct need a paid plan?
- Both need a paid plan (Plus or above). Usage is then billed in credits from your monthly allowance.
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Explore Zeplik
- 468 AI skillsReady-to-run expert methods that run on Llama 4 Maverick, Llama 3.3 70B Instruct 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.