Polaris Alphavs Kimi Linear 48B A3B Instruct
Polaris Alpha
vs Kimi Linear 48B A3B Instruct
Compare performance metrics, pricing, and capabilities of these AI models.
Key Differences
Context Length
Lower
Polaris Alpha: 256K (disadvantage)
Kimi Linear 48B A3B Instruct: 1.0M (advantage)
Cost Efficiency
Lower Cost
Prompt: vs $0.30M
Completion: vs $0.60M
Capabilities
Polaris Alpha
Modality: text+image->text
Inputs: text, image
Kimi Linear 48B A3B Instruct
Modality: text->text
Inputs: 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->textM
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->textDetailed Comparison
| Feature | Polaris Alpha | Kimi Linear 48B A3B Instruct |
|---|---|---|
| Context Length | 256K | 1.0M |
| Prompt Price | $0.30M | |
| Completion Price | $0.60M | |
| Modality | text+image->text | text->text |
| Release Date | November 6, 2025 | November 8, 2025 |
Analysis & Recommendations
Quick Summary
This comparison reveals key trade-offs between Polaris Alpha and Kimi Linear 48B A3B Instruct. Kimi Linear 48B A3B Instruct offers a larger context window of 1.0M compared to Polaris Alpha's 256K, though Kimi Linear 48B A3B Instruct comes at a higher cost.
Polaris Alpha Strengths
- •Competitive context size (256K)
- •More cost-effective per token
- •Multimodal capabilities for image analysis
- •Proven and stable model
Kimi Linear 48B A3B Instruct Strengths
- •Larger context window (1.0M) for processing longer documents
- •Premium pricing for high-quality output
- •Specialized for text tasks
- •Latest generation model
When to Use Each Model
Choose Polaris Alpha when:
- • You need competitive context capability for complex tasks
- • Cost efficiency is important 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 not the primary concern for your budget
- • Working with text-based tasks that require advanced processing
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