Is DeepSeek V3.2 cheaper than Kimi v1-128k?
Yes, DeepSeek V3.2 is primarily cheaper with a starting input price of $0.06/1M tokens, which is about 78% less than Kimi v1-128k's $0.278/1M tokens.
DeepSeek V3.2
Starting at $0.06/1M tkns
VS
Kimi v1-128k
Starting at $0.278/1M tkns
AI Overview: TL;DR
When comparing DeepSeek V3.2 and Kimi v1-128k API pricing for 2026, DeepSeek V3.2 is the more cost-effective option for basic input queries. It is approximately 78% cheaper starting at $0.06/1M tokens. However, your choice should also factor in context window limits (128k vs 131k) and supported modalities.
Technical Specifications & Pricing Table
| Feature | DeepSeek V3.2 | Kimi v1-128k |
|---|---|---|
| Starting Input Price | $0.06 / 1M tokens | $0.278 / 1M tokens |
| Model Category | DeepSeek | Kimi |
| Max Context Window | 128k tokens | 131k tokens |
| Supported Modalities | text | text, image |
| Routed Channels Count | 9 channels | 3 channels |
Frequently Asked Questions
Which model has a larger context window?
DeepSeek V3.2 supports a maximum input context of 128,000 tokens, while Kimi v1-128k supports 131,072 tokens.