Model Comparison
Kimi K2-Thinking-0905 vs Qwen2.5 VL 32B Instruct
Kimi K2-Thinking-0905 significantly outperforms across most benchmarks.
Performance Benchmarks
Comparative analysis across standard metrics
Kimi K2-Thinking-0905 outperforms in 2 benchmarks (GPQA, MMLU-Pro), while Qwen2.5 VL 32B Instruct is better at 0 benchmarks.
Kimi K2-Thinking-0905 significantly outperforms across most benchmarks.
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 966.5B more parameters than Qwen2.5 VL 32B Instruct, making it 2885.1% 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
Qwen2.5 VL 32B Instruct supports multimodal inputs, whereas Kimi K2-Thinking-0905 does not.
Qwen2.5 VL 32B Instruct can handle both text and other forms of data like images, making it suitable for multimodal applications.
Kimi K2-Thinking-0905
Qwen2.5 VL 32B Instruct
License
Usage and distribution terms
Kimi K2-Thinking-0905 is licensed under MIT, while Qwen2.5 VL 32B Instruct uses Apache 2.0.
License differences may affect how you can use these models in commercial or open-source projects.
MIT
Open weights
Apache 2.0
Open weights
Release Timeline
When each model was launched
Kimi K2-Thinking-0905 was released on 2025-09-05, while Qwen2.5 VL 32B Instruct was released on 2025-02-28.
Kimi K2-Thinking-0905 is 6 months newer than Qwen2.5 VL 32B Instruct.
Sep 5, 2025
7 months ago
6mo newerFeb 28, 2025
1.1 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
Qwen2.5 VL 32B Instruct
View detailsAlibaba Cloud / Qwen Team
Detailed Comparison
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FAQ
Common questions about Kimi K2-Thinking-0905 vs Qwen2.5 VL 32B Instruct