Model Comparison
Kimi K2.5 vs Qwen3.6 Plus
Qwen3.6 Plus shows notably better performance in the majority of benchmarks.
Performance Benchmarks
Comparative analysis across standard metrics
Kimi K2.5 outperforms in 6 benchmarks (AA-LCR, Humanity's Last Exam, SimpleVQA, Video-MME, VideoMMMU, WideSearch), while Qwen3.6 Plus is better at 14 benchmarks (CharXiv-R, GPQA, HMMT 2025, IMO-AnswerBench, LiveCodeBench v6, LongBench v2, MathVision, MMLU-Pro, MMMU-Pro, OmniDocBench 1.5, SWE-bench Multilingual, SWE-Bench Pro, SWE-Bench Verified, Terminal-Bench 2.0).
Qwen3.6 Plus shows notably better performance in the majority of benchmarks.
Arena Performance
Human preference votes
Pricing Analysis
Price comparison per million tokens
Cost data unavailable.
Context Window
Maximum input and output token capacity
Only Kimi K2.5 specifies input context (262,100 tokens). Only Kimi K2.5 specifies output context (262,100 tokens).
Input Capabilities
Supported data types and modalities
Both Kimi K2.5 and Qwen3.6 Plus support multimodal inputs.
They are both capable of processing various types of data, offering versatility in application.
Kimi K2.5
Qwen3.6 Plus
License
Usage and distribution terms
Kimi K2.5 is licensed under MIT, while Qwen3.6 Plus uses a proprietary license.
License differences may affect how you can use these models in commercial or open-source projects.
MIT
Open weights
Proprietary
Closed source
Release Timeline
When each model was launched
Kimi K2.5 was released on 2026-01-27, while Qwen3.6 Plus was released on 2026-03-31.
Qwen3.6 Plus is 2 months newer than Kimi K2.5.
Jan 27, 2026
2 months ago
Mar 31, 2026
2 days ago
2mo newerKnowledge 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 K2.5
View detailsMoonshot AI
Qwen3.6 Plus
View detailsAlibaba Cloud / Qwen Team
Detailed Comparison
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FAQ
Common questions about Kimi K2.5 vs Qwen3.6 Plus