Kimi Linear 48B A3B Instructvs Kimi K2 Thinking
Kimi Linear 48B A3B Instruct
vs Kimi K2 Thinking
Compare performance metrics, pricing, and capabilities of these AI models.
Key Differences
Context Length
Better
Kimi Linear 48B A3B Instruct: 1.0M (advantage)
Kimi K2 Thinking: 262K (disadvantage)
Cost Efficiency
Lower Cost
Prompt: $0.30M vs $0.55M
Completion: $0.60M vs $2.25M
Capabilities
Kimi Linear 48B A3B Instruct
Modality: text->text
Inputs: text
Kimi K2 Thinking
Modality: text->text
Inputs: text
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->textM
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->textDetailed Comparison
| Feature | Kimi Linear 48B A3B Instruct | Kimi K2 Thinking |
|---|---|---|
| Context Length | 1.0M | 262K |
| Prompt Price | $0.30M | $0.55M |
| Completion Price | $0.60M | $2.25M |
| Modality | text->text | text->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 Kimi K2 Thinking. Kimi Linear 48B A3B Instruct offers a larger context window of 1.0M compared to Kimi K2 Thinking's 262K, though Kimi K2 Thinking comes at a higher cost.
Kimi Linear 48B A3B Instruct Strengths
- •Larger context window (1.0M) for processing longer documents
- •More cost-effective per token
- •Specialized for text tasks
- •Latest generation model
Kimi K2 Thinking Strengths
- •Competitive context size (262K)
- •Premium pricing for high-quality output
- •Specialized for text tasks
- •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 important in your use case
- • Working with text-based tasks that benefit from deep analysis
Choose Kimi K2 Thinking when:
- • You need competitive context capability 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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