Llama 4 Maverick vs DeepSeek V4 Pro
The two most-watched open-weight flagships, Meta scale against DeepSeek reasoning.
What the numbers say
- Llama 4 Maverick is about 1.5x cheaper on output tokens (6.6 vs 9.6 credits per 1M).
- Both take the same 1.0M-token context window.
- Llama 4 Maverick accepts images; DeepSeek V4 Pro is text-only.
- DeepSeek V4 Pro is the newer release (April 2026 vs April 2025).
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
- 1.0M tokens
- Input price
- 1.7 credits / 1M tokens ($0.15 raw)
- Output price
- 6.6 credits / 1M tokens ($0.60 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
- 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
DeepSeek V4 Pro
DeepSeek
DeepSeek V4 Pro is a large-scale Mixture-of-Experts model from DeepSeek with 1.6T total parameters and 49B activated parameters, supporting a 1M-token context window. It is designed for advanced reasoning, coding,...
- Provider
- DeepSeek
- Context window
- 1.0M tokens
- Input price
- 4.8 credits / 1M tokens ($0.43 raw)
- Output price
- 9.6 credits / 1M tokens ($0.87 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
- Very long documents and codebases: a 1.0M-token window fits entire books or repositories in one conversation
- 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 DeepSeek V4 Pro in the same chat, so you can switch mid-conversation and compare answers on the work you actually do.