KAT-Coder-Pro V1 (free)vs Kimi K2 Thinking
KAT-Coder-Pro V1 (free)
vs Kimi K2 Thinking
Compare performance metrics, pricing, and capabilities of these AI models.
Key Differences
Context Length
Lower
KAT-Coder-Pro V1 (free): 256K (disadvantage)
Kimi K2 Thinking: 262K (advantage)
Cost Efficiency
Lower Cost
Prompt: vs $0.55M
Completion: vs $2.25M
Capabilities
KAT-Coder-Pro V1 (free)
Modality: text->text
Inputs: text
Kimi K2 Thinking
Modality: text->text
Inputs: text
K
KAT-Coder-Pro V1 (free)
kwaipilot/kat-coder-pro:free
KAT-Coder-Pro V1 is KwaiKAT's most advanced agentic coding model in the KAT-Coder series. Designed specifically for agentic coding tasks, it excels in...
Context Length256K
Prompt Price
ReleasedNovember 10, 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 | KAT-Coder-Pro V1 (free) | Kimi K2 Thinking |
|---|---|---|
| Context Length | 256K | 262K |
| Prompt Price | $0.55M | |
| Completion Price | $2.25M | |
| Modality | text->text | text->text |
| Release Date | November 10, 2025 | November 6, 2025 |
Analysis & Recommendations
Quick Summary
This comparison reveals key trade-offs between KAT-Coder-Pro V1 (free) and Kimi K2 Thinking. Kimi K2 Thinking offers a larger context window of 262K compared to KAT-Coder-Pro V1 (free)'s 256K, though Kimi K2 Thinking comes at a higher cost.
KAT-Coder-Pro V1 (free) Strengths
- •Competitive context size (256K)
- •More cost-effective per token
- •Specialized for text tasks
- •Latest generation model
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
When to Use Each Model
Choose KAT-Coder-Pro V1 (free) when:
- • You need competitive context capability 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 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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