Kimi K2 0711 vs Qwen3 Max Thinking
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 Max Thinking.
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 Max Thinking
Qwen3-Max-Thinking is the flagship reasoning model in the Qwen3 series, designed for high-stakes cognitive tasks that require deep, multi-step reasoning. By significantly scaling model capacity and reinforcement learning compute, it...
Technical Specifications
| Specification | Kimi K2 0711 | Qwen3 Max Thinking |
|---|---|---|
| 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 | 2026-02-09 |
API Pricing Comparison
Input Price per Million Tokens
Kimi K2 0711
$0.57
Qwen3 Max Thinking
$0.78
Output Price per Million Tokens
Kimi K2 0711
$2.30
Qwen3 Max Thinking
$3.90
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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 Max Thinking Quirks & Gotchas
No developer gotchas reported.