Kimi K2 0711 vs Qwen3 235B A22B Thinking 2507
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 235B A22B Thinking 2507.
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 235B A22B Thinking 2507
Qwen3-235B-A22B-Thinking-2507 is a high-performance, open-weight Mixture-of-Experts (MoE) language model optimized for complex reasoning tasks. It activates 22B of its 235B parameters per forward pass and natively supports up to 262,144...
Technical Specifications
| Specification | Kimi K2 0711 | Qwen3 235B A22B Thinking 2507 |
|---|---|---|
| Provider | Moonshot AI | Alibaba |
| Context Window | 131,072 tokens | 262,144 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 | 2025-07-25 |
API Pricing Comparison
Input Price per Million Tokens
Kimi K2 0711
$0.57
Qwen3 235B A22B Thinking 2507
$0.15
Output Price per Million Tokens
Kimi K2 0711
$2.30
Qwen3 235B A22B Thinking 2507
$1.50
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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 235B A22B Thinking 2507 Quirks & Gotchas
No developer gotchas reported.