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Model comparison

Grok 3 vs Llama 3.3 70B

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 / 131.1K
text+image->text / text->text
Input price
$2.00 / $0.12
per 1M tokens
Output price
$10.00 / $0.30
per 1M tokens
Left model
Grok 3
xAI
FamilyGrok
Modalitytext+image->text

旗舰品牌词入口,适合热点场景和新模型对比页。

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

On the listed price snapshot, Llama 3.3 70B is cheaper on combined input and output, but real routing, discounts, and limits still matter.

When context is similar, compare output quality, API stability, limits, and actually callable models first.

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 is worth checking first when the Grok family, 131.1K 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.

  • xAI: Grok 3, Grok, 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.

  • Grok 3: 旗舰品牌词入口,适合热点场景和新模型对比页。
  • Llama 3.3 70B: 经典开源旗舰型号,适合对比和托管平台目录。