Kimi K2 0711 vs Qwen3.5 397B A17B
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 0711 and Qwen3.5 397B A17B.
Kimi K2 0711
Kimi K2 Instruct is a large-scale Mixture-of-Experts (MoE) language model developed by Moonshot AI, featuring 1 trillion total parameters with 32 billion active per forward pass. It is optimized for...
Qwen3.5 397B A17B
The Qwen3.5 series 397B-A17B native vision-language model is built on a hybrid architecture that integrates a linear attention mechanism with a sparse mixture-of-experts model, achieving higher inference efficiency. It delivers...
Technical Specifications
| Specification | Kimi K2 0711 | Qwen3.5 397B A17B |
|---|---|---|
| Provider | Moonshot AI | Alibaba |
| Context Window | 131,072 tokens | 256,000 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 | 2025-07-11 | 2026-02-16 |
API Pricing Comparison
Input Price per Million Tokens
Kimi K2 0711
$0.57
Qwen3.5 397B A17B
$0.39
Output Price per Million Tokens
Kimi K2 0711
$2.30
Qwen3.5 397B A17B
$2.45
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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 0711 Quirks & Gotchas
No developer gotchas reported.
Qwen3.5 397B A17B Quirks & Gotchas
No developer gotchas reported.