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Model comparison

Grok 3 Mini vs Llama 4 Maverick

Not a benchmark table. This puts pricing, context, interface fit, and key visibility into one decision card.

Provider
xAI / Meta
global / global
Context
131.1K / 1M
text->text / text+image->text
Input price
$0.30 / $0.15
per 1M tokens
Output price
$0.50 / $0.60
per 1M tokens
Left model
Grok 3 Mini
xAI
FamilyGrok
Modalitytext->text

更适合高频调用和低成本试用场景。

Right model
Llama 4 Maverick
Meta
FamilyLlama
Modalitytext+image->text

开源生态关注度高,适合模型库、教程和选型内容。

Comparison summary

How to choose first

This is a cross-provider comparison. Start with the job boundary, then verify what your key can actually see.

On the listed price snapshot, Llama 4 Maverick is cheaper on combined input and output, but real routing, discounts, and limits still matter.

Llama 4 Maverick has the larger context window, which helps with long documents, knowledge bases, logs, and multi-turn workflows.

Decision boundary

Do not start with which model is absolutely stronger. Start with the boundary: cost, context, speed, quality, ecosystem, or supply stability.

  • Grok 3 Mini is worth checking first when the Grok family, 131.1K context, and text->text capability match the job.
  • Llama 4 Maverick is worth checking first when the Llama family, 1M context, and text+image->text capability match the job.

Key checking route

If you already hold a key, the valuable check is provider identity, callable models, and whether balance, limits, or subscription status are visible.

  • xAI: Grok 3 Mini, Grok, text->text
  • Meta: Llama 4 Maverick, Llama, text+image->text

Commercial fit

Commercially, do not look at model names alone. Combine price, limits, region, upstream stability, and ongoing monitoring.

  • Grok 3 Mini: 更适合高频调用和低成本试用场景。
  • Llama 4 Maverick: 开源生态关注度高,适合模型库、教程和选型内容。