Llama 4 Maverick vs Qwen3.7 Max
Meta's open flagship against Alibaba's top Qwen tier.
Figures as of , read live from the model registry Zeplik bills against.
What the numbers say
- Llama 4 Maverick is about 6.8x cheaper on output tokens (7.8 vs 53.1 credits per 1M).
- Qwen3.7 Max takes noticeably more context: 1M vs 128K tokens.
- 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, 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
Qwen3.7 Max
Qwen
Qwen3.7-Max is the flagship model in Alibaba's Qwen3.7 series.
- Provider
- Qwen
- Context window
- 1M tokens
- Input price
- 17.7 credits / 1M tokens ($1.48 raw)
- Output price
- 53.1 credits / 1M tokens ($4.42 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.
Frequently asked questions
- What is the difference between Llama 4 Maverick and Qwen3.7 Max?
- Llama 4 Maverick is about 6.8x cheaper on output tokens (7.8 vs 53.1 credits per 1M). Qwen3.7 Max takes noticeably more context: 1M vs 128K tokens. Llama 4 Maverick accepts images; Qwen3.7 Max is text-only. Qwen3.7 Max is the newer release (May 2026 vs April 2025).
- Is Llama 4 Maverick or Qwen3.7 Max cheaper?
- Llama 4 Maverick is cheaper: 7.8 credits per million output tokens against 53.1. 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 Qwen3.7 Max?
- Qwen3.7 Max, at 1M tokens against 128K.
- Can I use both Llama 4 Maverick and Qwen3.7 Max 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 Qwen3.7 Max need a paid plan?
- Both need a paid plan (Plus or above). Usage is then billed in credits from your monthly allowance.
Related comparisons
- Llama 4 Maverick vs DeepSeek V4 Pro 0423The two most-watched open-weight flagships, Meta scale against DeepSeek reasoning.
- DeepSeek V4 Pro 0423 vs Qwen3.7 MaxThe two leading Chinese open-model programs at their respective tops.
- Llama 4 Maverick vs Mistral Medium 3.5Meta's open flagship against Europe's leading lab at its capability tier.
- Qwen3.7 Max vs GLM 5.2Qwen's capability tier against the GLM 5.2 generation.
- Llama 4 Maverick vs Llama 4 ScoutLlama 4's two personalities, Maverick capability against Scout efficiency.
- Qwen3.7 Max vs Qwen3.7 PlusQwen's Max capability tier against the cost-balanced Plus.
Explore Zeplik
- 468 AI skillsReady-to-run expert methods that run on Llama 4 Maverick, Qwen3.7 Max 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.