Kimi K2 ThinkingvsPolaris Alpha
Kimi K2 Thinking
vsPolaris Alpha
Compare performance metrics, pricing, and capabilities of these AI models.
Key Differences
Context Length
Better
Kimi K2 Thinking: 262K (advantage)
Polaris Alpha: 256K (disadvantage)
Cost Efficiency
Higher Cost
Prompt: $0.55M vs
Completion: $2.25M vs
Capabilities
Kimi K2 Thinking
Modality: text->text
Inputs: text
Polaris Alpha
Modality: text+image->text
Inputs: text, image
M
Kimi K2 Thinking
moonshotai/kimi-k2-thinking
Kimi K2 Thinking is Moonshot AI’s most advanced open reasoning model to date, extending the K2 series into agentic, long-horizon reasoning. Built on t...
Context Length262K
Prompt Price$0.55M
ReleasedNovember 6, 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 K2 Thinking | Polaris Alpha |
|---|---|---|
| Context Length | 262K | 256K |
| Prompt Price | $0.55M | |
| Completion Price | $2.25M | |
| Modality | text->text | text+image->text |
| Release Date | November 6, 2025 | November 6, 2025 |
Analysis & Recommendations
Quick Summary
This comparison reveals key trade-offs between Kimi K2 Thinking and Polaris Alpha. Kimi K2 Thinking offers a larger context window of 262K compared to Polaris Alpha's 256K, though Kimi K2 Thinking comes at a higher cost.
Kimi K2 Thinking Strengths
- •Larger context window (262K) for processing longer documents
- •Premium pricing for high-quality output
- •Specialized for text tasks
- •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 Kimi K2 Thinking 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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