Kimi K2 Thinkingvs Kimi Linear 48B A3B Instruct
Kimi K2 Thinking
vs Kimi Linear 48B A3B Instruct
Compare performance metrics, pricing, and capabilities of these AI models.
Key Differences
Context Length
Lower
Kimi K2 Thinking: 262K (disadvantage)
Kimi Linear 48B A3B Instruct: 1.0M (advantage)
Cost Efficiency
Higher Cost
Prompt: $0.55M vs $0.30M
Completion: $2.25M vs $0.60M
Capabilities
Kimi K2 Thinking
Modality: text->text
Inputs: text
Kimi Linear 48B A3B Instruct
Modality: text->text
Inputs: text
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->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 | Kimi K2 Thinking | Kimi Linear 48B A3B Instruct |
|---|---|---|
| Context Length | 262K | 1.0M |
| Prompt Price | $0.55M | $0.30M |
| Completion Price | $2.25M | $0.60M |
| Modality | text->text | text->text |
| Release Date | November 6, 2025 | November 8, 2025 |
Analysis & Recommendations
Quick Summary
This comparison reveals key trade-offs between Kimi K2 Thinking and Kimi Linear 48B A3B Instruct. 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 K2 Thinking Strengths
- •Competitive context size (262K)
- •Premium pricing for high-quality output
- •Specialized for text tasks
- •Proven and stable model
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
When to Use Each Model
Choose Kimi K2 Thinking 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 Kimi Linear 48B A3B Instruct when:
- • You need the larger context window for long-form content
- • Cost efficiency is important for your budget
- • Working with text-based tasks that require advanced processing
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