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Model comparison

Grok 3 vs Sonar Pro

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

Provider
xAI / Perplexity
global / global
Context
131.1K / 200K
text+image->text / text+image->text
Input price
$2.00 / $3.00
per 1M tokens
Output price
$10.00 / $15.00
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
Sonar Pro
Perplexity
FamilySonar
Modalitytext+image->text

搜索与研究增强路线的代表产品,适合信息检索型场景。

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, Grok 3 is cheaper on combined input and output, but real routing, discounts, and limits still matter.

Sonar Pro 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 is worth checking first when the Grok family, 131.1K context, and text+image->text capability match the job.
  • Sonar Pro is worth checking first when the Sonar family, 200K 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, Grok, text+image->text
  • Perplexity: Sonar Pro, Sonar, text+image->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。
  • Sonar Pro: 搜索与研究增强路线的代表产品,适合信息检索型场景。