Llama 4 Maverick vs Qwen3.7 Max
Meta's open flagship against Alibaba's top Qwen tier.
What the numbers say
- Llama 4 Maverick is about 6.3x cheaper on output tokens (6.6 vs 41.3 credits per 1M).
- Llama 4 Maverick accepts images; Qwen3.7 Max is text-only.
- Qwen3.7 Max is the newer release (May 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
Qwen3.7 Max
Qwen
Qwen3.7-Max is the flagship model in Alibaba's Qwen3.7 series. It supports text input and output and is designed for agent-centric workloads, with particular strengths in coding, office and productivity tasks,...
- Provider
- Qwen
- Context window
- 1M tokens
- Input price
- 13.8 credits / 1M tokens ($1.25 raw)
- Output price
- 41.3 credits / 1M tokens ($3.75 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 1M-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 Qwen3.7 Max in the same chat, so you can switch mid-conversation and compare answers on the work you actually do.