Kimi K2-Thinking-0905 vs QvQ-72B-Preview Comparison
Comparing Kimi K2-Thinking-0905 and QvQ-72B-Preview across benchmarks, pricing, and capabilities.
Performance Benchmarks
Comparative analysis across standard metrics
Kimi K2-Thinking-0905 and QvQ-72B-Preview don't have any common benchmark datasets to compare. They may have been evaluated on different testing suites.
Arena Performance
Human preference votes
Pricing Analysis
Price comparison per million tokens
Cost data unavailable.
Model Size
Parameter count comparison
Kimi K2-Thinking-0905 has 926.6B more parameters than QvQ-72B-Preview, making it 1262.4% larger.
Context Window
Maximum input and output token capacity
Only Kimi K2-Thinking-0905 specifies input context (262,144 tokens). Only Kimi K2-Thinking-0905 specifies output context (262,144 tokens).
Input Capabilities
Supported data types and modalities
QvQ-72B-Preview supports multimodal inputs, whereas Kimi K2-Thinking-0905 does not.
QvQ-72B-Preview can handle both text and other forms of data like images, making it suitable for multimodal applications.
Kimi K2-Thinking-0905
QvQ-72B-Preview
License
Usage and distribution terms
Kimi K2-Thinking-0905 is licensed under MIT, while QvQ-72B-Preview uses Qwen.
License differences may affect how you can use these models in commercial or open-source projects.
MIT
Open weights
Qwen
Open weights
Release Timeline
When each model was launched
Kimi K2-Thinking-0905 was released on 2025-09-05, while QvQ-72B-Preview was released on 2024-12-25.
Kimi K2-Thinking-0905 is 8 months newer than QvQ-72B-Preview.
Sep 5, 2025
6 months ago
8mo newerDec 25, 2024
1.2 years ago
Knowledge Cutoff
When training data ends
Neither model specifies a knowledge cutoff date.
Unable to compare the recency of their training data.
Outputs Comparison
Key Takeaways
Kimi K2-Thinking-0905
View detailsMoonshot AI
QvQ-72B-Preview
View detailsAlibaba Cloud / Qwen Team
Detailed Comparison
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