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Model comparison

o3 vs Sonar Pro

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

Provider
OpenAI / Perplexity
global / global
Context
200K / 200K
text+image->text / text+image->text
Input price
$10.00 / $3.00
per 1M tokens
Output price
$40.00 / $15.00
per 1M tokens
Left model
o3
OpenAI
Familyo-series
Modalitytext+image->text

复杂推理和工具链场景常用旗舰。

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, Sonar Pro 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.

  • o3 is worth checking first when the o-series family, 200K 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.

  • OpenAI: o3, o-series, 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.

  • o3: 复杂推理和工具链场景常用旗舰。
  • 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。