DeepSeek V3.2 vs Kimi K3
How do these models stack up? Below is an expert side-by-side comparison of specifications, context window capacity, live pricing per million tokens, and standardized benchmark scores for DeepSeek V3.2 and Kimi K3.
DeepSeek V3.2
DeepSeek-V3.2 is a large language model designed to harmonize high computational efficiency with strong reasoning and agentic tool-use performance. It introduces DeepSeek Sparse Attention (DSA), a fine-grained sparse attention mechanism...
Kimi K3
Kimi K3 is an ultra-large-scale, open-weight multimodal reasoning model from Moonshot AI. It is suited for complex coding, knowledge work, and long-horizon agentic workflows, and is particularly strong at navigating...
Technical Specifications
| Specification | DeepSeek V3.2 | Kimi K3 |
|---|---|---|
| Provider | DeepSeek | Moonshot AI |
| Context Window | 163,840 tokens | 1,048,576 tokens |
| Agent Suitability | N/A | N/A |
| Time to First Token (TTFT) | N/A | N/A |
| Deployment Model | self hostable | managed api |
| Production Stability | stable | beta |
| API Available | Yes | Yes |
| Released Date | 2025-12-01 | 2026-07-16 |
API Pricing Comparison
Input Price per Million Tokens
DeepSeek V3.2
$0.27
Kimi K3
$3.00
Output Price per Million Tokens
DeepSeek V3.2
$0.40
Kimi K3
$15.00
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Benchmark Performance Metrics
Scores show the raw performance percentages verified across key evaluation suites. Higher bars indicate superior accuracy and capability in that domain.
DeepSeek V3.2 Quirks & Gotchas
No developer gotchas reported.
Kimi K3 Quirks & Gotchas
No developer gotchas reported.