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Model comparison

Llama 4 Maverick vs Llama 3.3 70B

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

Provider
Meta / Meta
Meta
Context
1M / 131.1K
text+image->text / text->text
Input price
$0.15 / $0.12
per 1M tokens
Output price
$0.60 / $0.30
per 1M tokens
Left 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。

Right model
Llama 3.3 70B
Meta
FamilyLlama
Modalitytext->text

经典开源旗舰型号,适合对比和托管平台目录。

Comparison summary

How to choose first

This is an internal Meta comparison, so the main question is tier, cost, context, and capability rather than provider switching.

On the listed price snapshot, Llama 3.3 70B 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.

  • Llama 4 Maverick is worth checking first when the Llama family, 1M context, and text+image->text capability match the job.
  • Llama 3.3 70B is worth checking first when the Llama family, 131.1K context, and text->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.

  • Meta: Llama 4 Maverick, Llama, text+image->text
  • Meta: Llama 3.3 70B, Llama, text->text

Commercial fit

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

  • Llama 4 Maverick: 开源生态关注度高,适合模型库、教程和选型内容。
  • Llama 3.3 70B: 经典开源旗舰型号,适合对比和托管平台目录。