DeepSeek-V3.1 vs Kimi-k1.5: Specs & Benchmark Comparison
| Characteristic | DeepSeek-V3.1 | Kimi-k1.5 |
|---|---|---|
| Company | DeepSeek | Moonshot AI |
| Release Date | January 9, 2025 | January 20, 2025 |
| Parameters | 671B | — |
| Multimodal | No | Yes |
| Context (input) | 164K | — |
| Context (output) | 164K | — |
| Input Price / 1M | $0.27 | — |
| Output Price / 1M | $1.00 | — |
| Average Score | 0.8 | 0.8 |
Verdict
Both models show equal results — the choice depends on your specific use case.
Overall Performance
Both models show comparable average scores: DeepSeek-V3.1 — 0.8, Kimi-k1.5 — 0.8.
Recency
Both models were released around the same time: 1/9/2025 and 1/20/2025.
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Frequently Asked Questions
Which is better for coding — DeepSeek-V3.1 or Kimi-k1.5?
Direct comparison on the SWE-Bench benchmark is not available. We recommend reviewing other metrics on the comparison page.
Which model is cheaper — DeepSeek-V3.1 or Kimi-k1.5?
API pricing data is available on the individual model pages.
Which has a larger context window — DeepSeek-V3.1 or Kimi-k1.5?
Context window data is available on the individual model pages.
The DeepSeek-V3.1 and Kimi-k1.5 comparison is updated for 2026. Data includes benchmark results, API pricing, context window size and other specifications. For more detailed information, visit the DeepSeek-V3.1 or Kimi-k1.5 page. See also the complete list of AI model comparisons.