MiniMax M2
vs
Polaris Alpha

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

Key Differences
Context Length
Lower
MiniMax M2: 205K (disadvantage)
Polaris Alpha: 256K (advantage)
Cost Efficiency
Higher Cost
Prompt: $0.26M vs
Completion: $1.02M vs

Capabilities

MiniMax M2
Modality: text->text
Inputs: text
Polaris Alpha
Modality: text+image->text
Inputs: text, image
M
MiniMax M2
minimax/minimax-m2

MiniMax-M2 is a compact, high-efficiency large language model optimized for end-to-end coding and agentic workflows. With 10 billion activated paramet...

Context Length205K
Prompt Price$0.26M
ReleasedOctober 23, 2025
Supports:
text->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
MiniMax M2
Polaris Alpha
Context Length205K256K
Prompt Price$0.26M
Completion Price$1.02M
Modalitytext->texttext+image->text
Release DateOctober 23, 2025November 6, 2025
Analysis & Recommendations

Quick Summary

This comparison reveals key trade-offs between MiniMax M2 and Polaris Alpha. Polaris Alpha offers a larger context window of 256K compared to MiniMax M2's 205K, though MiniMax M2 comes at a higher cost.

MiniMax M2 Strengths

  • Competitive context size (205K)
  • Premium pricing for high-quality output
  • Specialized for text tasks
  • Proven and stable model

Polaris Alpha Strengths

  • Larger context window (256K) for processing longer documents
  • More cost-effective per token
  • Multimodal capabilities for image analysis
  • Latest generation model

When to Use Each Model

Choose MiniMax M2 when:
  • • You need competitive context capability for complex tasks
  • • Cost efficiency is not the primary concern in your use case
  • • Working with text-based tasks that benefit from deep analysis
Choose Polaris Alpha when:
  • • You need the larger context window for long-form content
  • • Cost efficiency is important for your budget
  • • Working with images and text that require advanced processing
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