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Model comparison

Sonar Reasoning Pro vs SenseChat 5.5

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

Provider
Perplexity / SenseNova
global / china
Context
200K / 128K
text->text / text+image->text
Input price
$2.00 / $0.35
per 1M tokens
Output price
$8.00 / $1.20
per 1M tokens
Left 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。

Right model
SenseChat 5.5
SenseNova
FamilySenseChat
Modalitytext+image->text

适合中国企业助手和多模态应用场景。

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, SenseChat 5.5 is cheaper on combined input and output, but real routing, discounts, and limits still matter.

Sonar Reasoning 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.

  • Sonar Reasoning Pro is worth checking first when the Sonar family, 200K context, and text->text capability match the job.
  • SenseChat 5.5 is worth checking first when the SenseChat family, 128K 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.

  • Perplexity: Sonar Reasoning Pro, Sonar, text->text
  • SenseNova: SenseChat 5.5, SenseChat, text+image->text

Commercial fit

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

  • Sonar Reasoning Pro: 研究和检索融合场景里的高意图品牌词入口。
  • SenseChat 5.5: 适合中国企业助手和多模态应用场景。