+
+
+
+
+
+
+
+
VS
VS
VS
VS
VS
VS
Kimi-k1.5 vs Qwen3 32B
Comprehensive side-by-side LLM comparison
Kimi-k1.5 leads with 5.1% higher average benchmark score. Kimi-k1.5 supports multimodal inputs. Qwen3 32B is available on 3 providers. Overall, Kimi-k1.5 is the stronger choice for coding tasks.
+
+
+
+
Moonshot AI
Kimi-k1.5 is a multimodal language model developed by Moonshot AI. This model demonstrates exceptional performance with an average score of 81.7% across 9 benchmarks. It excels particularly in MATH-500 (96.2%), CLUEWSC (91.4%), C-Eval (88.3%). As a multimodal model, it can process and understand text, images, and other input formats seamlessly. Released in 2025, it represents Moonshot AI's latest advancement in AI technology.
+
+
+
+
Alibaba Cloud / Qwen Team
Qwen3 32B is a language model developed by Alibaba Cloud / Qwen Team. It achieves strong performance with an average score of 72.0% across 9 benchmarks. It excels particularly in Arena Hard (93.8%), AIME 2024 (81.4%), LiveBench (74.9%). It supports a 256K token context window for handling large documents. The model is available through 3 API providers. It's licensed for commercial use, making it suitable for enterprise applications. Released in 2025, it represents Alibaba Cloud / Qwen Team's latest advancement in AI technology.
3 months newer
Kimi-k1.5
Moonshot AI
2025-01-20
Qwen3 32B
Alibaba Cloud / Qwen Team
2025-04-29
Performance Metrics
Context window and performance specifications
Average performance across 17 common benchmarks
+
+
+
+
Kimi-k1.5
Average Score:43.3%(+5.1%)
+
+
+
+
Qwen3 32B
Average Score:38.1%
Provider Availability & Performance
Available providers and their performance metrics
+
+
+
+
Kimi-k1.5
0 providers
+
+
+
+
Qwen3 32B
3 providers
DeepInfra
+
+
+
+
Kimi-k1.5
Avg Score:43.3%(+5.1%)
Providers:0
+
+
+
+
Qwen3 32B
Avg Score:38.1%
Providers:3