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Model comparison

Grok 4.20 vs Sonar Reasoning Pro

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

Provider
xAI / Perplexity
global / global
Context
2M / 200K
text+image+file->text / text->text
Input price
$3.00 / $2.00
per 1M tokens
Output price
$15.00 / $8.00
per 1M tokens
Left model
Grok 4.20
xAI
FamilyGrok
Modalitytext+image+file->text

超长上下文与多代理场景热度很高,适合海外品牌词流量承接。

Right model
Sonar Reasoning Pro
Perplexity
FamilySonar
Modalitytext->text

研究和检索融合场景里的高意图品牌词入口。

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, Sonar Reasoning Pro is cheaper on combined input and output, but real routing, discounts, and limits still matter.

Grok 4.20 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 4.20 is worth checking first when the Grok family, 2M context, and text+image+file->text capability match the job.
  • Sonar Reasoning Pro is worth checking first when the Sonar family, 200K 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 4.20, Grok, text+image+file->text
  • Perplexity: Sonar Reasoning Pro, Sonar, text->text

Commercial fit

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

  • Grok 4.20: 超长上下文与多代理场景热度很高,适合海外品牌词流量承接。
  • Sonar Reasoning Pro: 研究和检索融合场景里的高意图品牌词入口。