Llama 4 Maverick vs Mistral Medium 3.5
Meta's open flagship against Europe's leading lab at its capability tier.
What the numbers say
- Llama 4 Maverick is about 13x cheaper on output tokens (6.6 vs 82.5 credits per 1M).
- Llama 4 Maverick takes noticeably more context: 1.0M vs 262K tokens.
- Mistral Medium 3.5 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
Mistral Medium 3.5
Mistral
Mistral Medium 3.5 is a dense 128B instruction-following model from Mistral AI. It supports text and image inputs with text output, and is designed for agentic workflows, coding, and complex...
- Provider
- Mistral
- Context window
- 262K tokens
- Input price
- 16.5 credits / 1M tokens ($1.50 raw)
- Output price
- 82.5 credits / 1M tokens ($7.50 raw)
- Vision (image input)
- Yes
- Tool calling
- Yes
- Extended reasoning
- No
Best for
- Hard problems where answer quality matters more than cost: strategy, analysis, difficult writing
- Long documents: the 262K-token window holds lengthy reports, contracts or papers whole
- 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
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 Mistral Medium 3.5 in the same chat, so you can switch mid-conversation and compare answers on the work you actually do.