Sonar Pro Search
vs
Kimi Linear 48B A3B Instruct

Compare performance metrics, pricing, and capabilities of these AI models.

Key Differences
Context Length
Lower
Sonar Pro Search: 200K (disadvantage)
Kimi Linear 48B A3B Instruct: 1.0M (advantage)
Cost Efficiency
Higher Cost
Prompt: $3.00M vs $0.30M
Completion: $15.00M vs $0.60M

Capabilities

Sonar Pro Search
Modality: text+image->text
Inputs: text, image
Kimi Linear 48B A3B Instruct
Modality: text->text
Inputs: text
P
Sonar Pro Search
perplexity/sonar-pro-search

Exclusively available on the OpenRouter API, Sonar Pro's new Pro Search mode is Perplexity's most advanced agentic search system. It is designed for d...

Context Length200K
Prompt Price$3.00M
ReleasedOctober 30, 2025
Supports:
text+image->text
M
Kimi Linear 48B A3B Instruct
moonshotai/kimi-linear-48b-a3b-instruct

Kimi Linear is a hybrid linear attention architecture that outperforms traditional full attention methods across various contexts, including short, lo...

Context Length1.0M
Prompt Price$0.30M
ReleasedNovember 8, 2025
Supports:
text->text
Detailed Comparison
Feature
Sonar Pro Search
Kimi Linear 48B A3B Instruct
Context Length200K1.0M
Prompt Price$3.00M$0.30M
Completion Price$15.00M$0.60M
Modalitytext+image->texttext->text
Release DateOctober 30, 2025November 8, 2025
Analysis & Recommendations

Quick Summary

This comparison reveals key trade-offs between Sonar Pro Search and Kimi Linear 48B A3B Instruct. Kimi Linear 48B A3B Instruct offers a larger context window of 1.0M compared to Sonar Pro Search's 200K, though Sonar Pro Search comes at a higher cost.

Sonar Pro Search Strengths

  • Competitive context size (200K)
  • Premium pricing for high-quality output
  • Multimodal capabilities for image analysis
  • Proven and stable model

Kimi Linear 48B A3B Instruct Strengths

  • Larger context window (1.0M) for processing longer documents
  • More cost-effective per token
  • Specialized for text tasks
  • Latest generation model

When to Use Each Model

Choose Sonar Pro Search when:
  • • You need competitive context capability for complex tasks
  • • Cost efficiency is not the primary concern in your use case
  • • Working with images and text that benefit from deep analysis
Choose Kimi Linear 48B A3B Instruct when:
  • • You need the larger context window for long-form content
  • • Cost efficiency is important for your budget
  • • Working with text-based tasks that require advanced processing
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