Kimi K2 0905 vs Qwen3 14B
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 Kimi K2 0905 and Qwen3 14B.
Kimi K2 0905
Kimi K2 0905 is the September update of [Kimi K2 0711](moonshotai/kimi-k2). It is a large-scale Mixture-of-Experts (MoE) language model developed by Moonshot AI, featuring 1 trillion total parameters with 32...
Qwen3 14B
Qwen3-14B is a dense 14.8B parameter causal language model from the Qwen3 series, designed for both complex reasoning and efficient dialogue. It supports seamless switching between a "thinking" mode for...
Technical Specifications
| Specification | Kimi K2 0905 | Qwen3 14B |
|---|---|---|
| Provider | Moonshot AI | Alibaba |
| Context Window | 262,144 tokens | 131,702 tokens |
| Agent Suitability | N/A | N/A |
| Time to First Token (TTFT) | N/A | N/A |
| Deployment Model | managed api | self hostable |
| Production Stability | stable | stable |
| API Available | Yes | Yes |
| Released Date | 2025-09-04 | 2025-04-28 |
API Pricing Comparison
Input Price per Million Tokens
Kimi K2 0905
$0.60
Qwen3 14B
$0.10
Output Price per Million Tokens
Kimi K2 0905
$2.50
Qwen3 14B
$0.24
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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.
Kimi K2 0905 Quirks & Gotchas
No developer gotchas reported.
Qwen3 14B Quirks & Gotchas
No developer gotchas reported.