DeepSeek-V4-Pro-0813 vs Kimi K2-Thinking-0905: Specs & Benchmark Comparison
| Characteristic | DeepSeek-V4-Pro-0813 | Kimi K2-Thinking-0905 |
|---|---|---|
| Company | DeepSeek | Moonshot AI |
| Release Date | August 13, 2026 | September 4, 2025 |
| Parameters | 1.6T | 1.0T |
| Multimodal | No | No |
| Context (input) | 1.0M | 262K |
| Context (output) | 393K | 66K |
| Input Price / 1M | $1.32 | $0.60 |
| Output Price / 1M | $3.96 | $2.40 |
| Average Score | 0.8 | 0.9 |
Verdict
DeepSeek-V4-Pro-0813 leads in 2 out of 4 comparison categories.
Overall Performance
Both models show comparable average scores: DeepSeek-V4-Pro-0813 — 0.8, Kimi K2-Thinking-0905 — 0.9.
API Cost
Kimi K2-Thinking-0905 is 1.8x cheaper: input $0.60/1M vs $1.32/1M tokens.
Context Window
DeepSeek-V4-Pro-0813 supports a larger context: 1M vs 262K tokens.
Recency
DeepSeek-V4-Pro-0813 is newer: released 8/13/2026 vs 9/4/2025.
More About These Models
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Frequently Asked Questions
Which is better for coding — DeepSeek-V4-Pro-0813 or Kimi K2-Thinking-0905?
Direct comparison on the SWE-Bench benchmark is not available. We recommend reviewing other metrics on the comparison page.
Which model is cheaper — DeepSeek-V4-Pro-0813 or Kimi K2-Thinking-0905?
Kimi K2-Thinking-0905 is cheaper for input: $0.60 per 1M tokens vs $1.32.
Which has a larger context window — DeepSeek-V4-Pro-0813 or Kimi K2-Thinking-0905?
DeepSeek-V4-Pro-0813 supports a larger context: 1,000,000 tokens vs 262,144.
The DeepSeek-V4-Pro-0813 and Kimi K2-Thinking-0905 comparison is updated for 2026. Data includes benchmark results, API pricing, context window size and other specifications. For more detailed information, visit the DeepSeek-V4-Pro-0813 or Kimi K2-Thinking-0905 page. See also the complete list of AI model comparisons.