Kimi-k1.5 vs Qwen2.5 32B Instruct
Kimi-k1.5 leads the LLM Stats Score 17.2 to 7.7.
Moonshot AI · Alibaba Cloud / Qwen Team · Updated for 2026
Which is better?
Kimi-k1.5 leads the overall LLM Stats Score 17.2 to 7.7, ranking #224 overall.
In the 1 individual benchmarks reported for both models, Kimi-k1.5 wins 1; this is a narrower head-to-head signal than the composite indexes.
Based on current LLM Stats indexes, shared benchmarks, pricing, and model metadata for 2026.
Choose Kimi-k1.5
- overall performance matters — it scores 17.2 and ranks #224 on LLM Stats
- your work emphasizes reasoning — it leads those capability indexes
- you value its reported benchmark strengths — it wins 1 of 1 exact shared results
- you want the most recent training data — it shipped Jan 2025
Choose Qwen2.5 32B Instruct
- you need open weights you can self-host or fine-tune
At a glance
The differences that matter most.
Capability indexes
Additional strengths measured across groups of related public benchmarks
Individual benchmarks
9 reported for Kimi-k1.5 · 18 for Qwen2.5 32B Instruct
Kimi-k1.5 outperforms in 1 benchmarks (MMLU), while Qwen2.5 32B Instruct is better at 0 benchmarks.
Kimi-k1.5 significantly outperforms across most benchmarks.
Human preference
Blind head-to-head votes and playground preference scores
Input capabilities
Documented input modalities across available providers
Kimi-k1.5 supports multimodal inputs, whereas Qwen2.5 32B Instruct does not.
Kimi-k1.5 can handle both text and other forms of data like images, making it suitable for multimodal applications.
Kimi-k1.5
Qwen2.5 32B Instruct
License
Usage and distribution terms
Kimi-k1.5 is licensed under a proprietary license, while Qwen2.5 32B Instruct uses Apache 2.0.
License differences may affect how you can use these models in commercial or open-source projects.
Proprietary
Closed source
Apache 2.0
Open weights
Release Timeline
When each model was launched
Kimi-k1.5 was released on 2025-01-20, while Qwen2.5 32B Instruct was released on 2024-09-19.
Kimi-k1.5 is 4 months newer than Qwen2.5 32B Instruct.
Jan 20, 2025
1.7 years ago
4mo newerSep 19, 2024
2.0 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
Judge for yourself.
Run your own prompts against Kimi-k1.5 and Qwen2.5 32B Instruct side-by-side, then vote on the output you prefer.
FAQ
Common questions about Kimi-k1.5 vs Qwen2.5 32B Instruct.