+
+
+
+
+
+
+
+
VS
VS
VS
VS
VS
VS
DeepSeek-V3.2-Exp vs Kimi-k1.5
Comprehensive side-by-side LLM comparison
DeepSeek-V3.2-Exp leads with 8.3% higher average benchmark score. Kimi-k1.5 supports multimodal inputs. DeepSeek-V3.2-Exp is available on 2 providers. Overall, DeepSeek-V3.2-Exp is the stronger choice for coding tasks.
+
+
+
+
DeepSeek
DeepSeek-V3.2-Exp is a language model developed by DeepSeek. It achieves strong performance with an average score of 66.1% across 14 benchmarks. It excels particularly in SimpleQA (97.1%), AIME 2025 (89.3%), MMLU-Pro (85.0%). It supports a 229K token context window for handling large documents. The model is available through 2 API providers. It's licensed for commercial use, making it suitable for enterprise applications. Released in 2025, it represents DeepSeek's latest advancement in AI technology.
+
+
+
+
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.
8 months newer
Kimi-k1.5
Moonshot AI
2025-01-20
DeepSeek-V3.2-Exp
DeepSeek
2025-09-29
Performance Metrics
Context window and performance specifications
Average performance across 23 common benchmarks
+
+
+
+
DeepSeek-V3.2-Exp
Average Score:40.2%(+8.3%)
+
+
+
+
Kimi-k1.5
Average Score:32.0%
Provider Availability & Performance
Available providers and their performance metrics
+
+
+
+
DeepSeek-V3.2-Exp
2 providers
Novita
ZeroEval
Throughput: 100 tok/s
Latency: 0.7ms
+
+
+
+
Kimi-k1.5
+
+
+
+
DeepSeek-V3.2-Exp
Avg Score:40.2%(+8.3%)
Providers:2
+
+
+
+
Kimi-k1.5
Avg Score:32.0%
Providers:0