Kimi Linear 48B A3B InstructvsPolaris Alpha
Kimi Linear 48B A3B Instruct
vsPolaris Alpha
Compare performance metrics, pricing, and capabilities of these AI models.
Key Differences
Context Length
Better
Kimi Linear 48B A3B Instruct: 1.0M (advantage)
Polaris Alpha: 256K (disadvantage)
Cost Efficiency
Higher Cost
Prompt: $0.30M vs
Completion: $0.60M vs
Capabilities
Kimi Linear 48B A3B Instruct
Modality: text->text
Inputs: text
Polaris Alpha
Modality: text+image->text
Inputs: text, image
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->textP
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->textDetailed Comparison
| Feature | Kimi Linear 48B A3B Instruct | Polaris Alpha |
|---|---|---|
| Context Length | 1.0M | 256K |
| Prompt Price | $0.30M | |
| Completion Price | $0.60M | |
| Modality | text->text | text+image->text |
| Release Date | November 8, 2025 | November 6, 2025 |
Analysis & Recommendations
Quick Summary
This comparison reveals key trade-offs between Kimi Linear 48B A3B Instruct and Polaris Alpha. 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.
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
Polaris Alpha Strengths
- •Competitive context size (256K)
- •More cost-effective per token
- •Multimodal capabilities for image analysis
- •Proven and stable model
When to Use Each Model
Choose Kimi Linear 48B A3B Instruct when:
- • You need the larger context window 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 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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