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Nova Premier 1.0
vs
Polaris Alpha

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

Key Differences
Context Length
Better
Nova Premier 1.0: 1.0M (advantage)
Polaris Alpha: 256K (disadvantage)
Cost Efficiency
Higher Cost
Prompt: $2.50M vs
Completion: $12.50M vs

Capabilities

Nova Premier 1.0
Modality: text+image->text
Inputs: text, image
Polaris Alpha
Modality: text+image->text
Inputs: text, image
A
Nova Premier 1.0
amazon/nova-premier-v1

Amazon Nova Premier is the most capable of Amazon’s multimodal models for complex reasoning tasks and for use as the best teacher for distilling custo...

Context Length1.0M
Prompt Price$2.50M
ReleasedOctober 31, 2025
Supports:
text+image->text
P
Polaris Alpha
openrouter/polaris-alpha

This is a cloaked model provided to the community to gather feedback. A powerful, general-purpose model that excels across real-world tasks, with stan...

Context Length256K
Prompt Price
ReleasedNovember 6, 2025
Supports:
text+image->text
Detailed Comparison
Feature
amazon logo
Nova Premier 1.0
Polaris Alpha
Context Length1.0M256K
Prompt Price$2.50M
Completion Price$12.50M
Modalitytext+image->texttext+image->text
Release DateOctober 31, 2025November 6, 2025
Analysis & Recommendations

Quick Summary

This comparison reveals key trade-offs between Nova Premier 1.0 and Polaris Alpha. Nova Premier 1.0 offers a larger context window of 1.0M compared to Polaris Alpha's 256K, though Nova Premier 1.0 comes at a higher cost.

Nova Premier 1.0 Strengths

  • Larger context window (1.0M) for processing longer documents
  • Premium pricing for high-quality output
  • Multimodal capabilities for image analysis
  • Proven and stable model

Polaris Alpha Strengths

  • Competitive context size (256K)
  • More cost-effective per token
  • Multimodal capabilities for image analysis
  • Latest generation model

When to Use Each Model

Choose Nova Premier 1.0 when:
  • • You need the larger context window 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 Polaris Alpha when:
  • • You need competitive context capability for long-form content
  • • Cost efficiency is important for your budget
  • • Working with images and text that require advanced processing
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