Kimi K2.5 vs Qwen2.5-Coder 32B Instruct Comparison
Comparing Kimi K2.5 and Qwen2.5-Coder 32B Instruct across benchmarks, pricing, and capabilities.
Performance Benchmarks
Comparative analysis across standard metrics
Kimi K2.5 outperforms in 1 benchmarks (MMLU-Pro), while Qwen2.5-Coder 32B Instruct is better at 0 benchmarks.
Kimi K2.5 significantly outperforms across most benchmarks.
Arena Performance
Human preference votes
Pricing Analysis
Price comparison per million tokens
For input processing, Kimi K2.5 ($0.60/1M tokens) is 6.7x more expensive than Qwen2.5-Coder 32B Instruct ($0.09/1M tokens).
For output processing, Kimi K2.5 ($2.50/1M tokens) is 27.8x more expensive than Qwen2.5-Coder 32B Instruct ($0.09/1M tokens).
In conclusion, Kimi K2.5 is more expensive than Qwen2.5-Coder 32B Instruct.*
* Using a 3:1 ratio of input to output tokens
Model Size
Parameter count comparison
Kimi K2.5 has 968.0B more parameters than Qwen2.5-Coder 32B Instruct, making it 3025.0% larger.
Context Window
Maximum input and output token capacity
Kimi K2.5 accepts 262,100 input tokens compared to Qwen2.5-Coder 32B Instruct's 128,000 tokens. Kimi K2.5 can generate longer responses up to 262,100 tokens, while Qwen2.5-Coder 32B Instruct is limited to 128,000 tokens.
Input Capabilities
Supported data types and modalities
Kimi K2.5 supports multimodal inputs, whereas Qwen2.5-Coder 32B Instruct does not.
Kimi K2.5 can handle both text and other forms of data like images, making it suitable for multimodal applications.
Kimi K2.5
Qwen2.5-Coder 32B Instruct
License
Usage and distribution terms
Kimi K2.5 is licensed under MIT, while Qwen2.5-Coder 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 K2.5 was released on 2026-01-27, while Qwen2.5-Coder 32B Instruct was released on 2024-09-19.
Kimi K2.5 is 17 months newer than Qwen2.5-Coder 32B Instruct.
Jan 27, 2026
1 months ago
1.4yr newerSep 19, 2024
1.5 years ago
Knowledge Cutoff
When training data ends
Neither model specifies a knowledge cutoff date.
Unable to compare the recency of their training data.
Provider Availability
Kimi K2.5 is available from Fireworks. Qwen2.5-Coder 32B Instruct is available from Lambda, DeepInfra, Hyperbolic, Fireworks. The availability of providers can affect quality of the model and reliability.
Kimi K2.5
Qwen2.5-Coder 32B Instruct
Outputs Comparison
Key Takeaways
Kimi K2.5
View detailsMoonshot AI
Qwen2.5-Coder 32B Instruct
View detailsAlibaba Cloud / Qwen Team
Detailed Comparison
| Feature | | |
|---|