DeepSeek V4 vs Kimi K2
兩個模型整體表現接近
Arena ELO
Kimi K2
價格較低
DeepSeek V4
速度較快
Kimi K2
詳細比較
| 類別 | DeepSeek V4 | Kimi K2 |
|---|---|---|
| Provider | DeepSeek | Moonshot |
| Context Window | 128K | 128K |
| Input Price ($/1M) | $0.435 勝出 | $0.55 |
| Output Price ($/1M) | $0.87 勝出 | $2.2 |
| Arena ELO | N/A | 1380 勝出 |
| Coding | N/A | 65.8% SWE-bench |
| Reasoning | N/A | 60.2% BrowseComp |
| Speed (tokens/sec) | N/A | ~50 t/s 勝出 |
| Open Source | Yes | Yes |
常見問題
Which is cheaper, DeepSeek V4 or Kimi K2?
DeepSeek V4 is approximately 53% cheaper than Kimi K2 per million tokens.
Which is better for coding, DeepSeek V4 or Kimi K2?
DeepSeek V4 scores N/A on coding benchmarks, while Kimi K2 scores 65.8% SWE-bench.
Which has a larger context window?
DeepSeek V4 supports 128K context, while Kimi K2 supports 128K.
Is DeepSeek V4 or Kimi K2 open source?
DeepSeek V4 is open source. Kimi K2 is open source.
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