Compare DeepSeek V4 Pro 0423 from DeepSeek and Kimi K3 from moonshotai on key metrics including benchmarks, price, context length, and other model features. Access both models and hundreds of others through the OpenRouter API.




DeepSeek V4 Pro 0423 and Kimi K3 are available through the OpenRouter API, so switching between them takes a model slug change rather than a new integration.
DeepSeek V4 Pro 0423, from DeepSeek, has a 1,048,576-token context window and is priced at $0.8162/M tokens input, $1.632/M tokens output on OpenRouter.
Kimi K3, from moonshotai, has a 1,048,576-token context window and is priced at $0.1529/M tokens input, $9.339/M tokens output on OpenRouter.
| Attribute | DeepSeek V4 Pro 0423 | Kimi K3 |
|---|---|---|
| Input price | $0.8162/M tokens | $0.1529/M tokens |
| Output price | $1.632/M tokens | $9.339/M tokens |
| Context window | 1,048,576 tokens | 1,048,576 tokens |
| Intelligence Index | Not available | Not available |
| Coding Index | 58.7 | 76.2 |
| Agentic Index | Not available | 50.0 |
| Latency (p50) | 1.30 s | 1.73 s |
| Throughput (p50) | 42.0 tok/s | 71.0 tok/s |
Benchmark data updated
DeepSeek V4 Pro 0423 and Kimi K3 trade off on price: DeepSeek V4 Pro 0423 costs $0.8162/M tokens input and $1.632/M tokens output, while Kimi K3 costs $0.1529/M tokens input and $9.339/M tokens output, so Kimi K3 is cheaper for input tokens and DeepSeek V4 Pro 0423 is cheaper for output tokens.
DeepSeek V4 Pro 0423 and Kimi K3 have the same context window of 1,048,576 tokens.
Kimi K3 is faster on OpenRouter, generating a median 71.0 tokens per second compared with 42.0 tokens per second for DeepSeek V4 Pro 0423.
Kimi K3 scores higher on coding, with an Artificial Analysis Coding Index of 76.2 compared with 58.7 for DeepSeek V4 Pro 0423.