+
+
+
+
+
+
+
+
VS
VS
VS
VS
VS
VS
DeepSeek-V3.2-Speciale vs Kimi K2.5
Comprehensive side-by-side LLM comparison
Kimi K2.5 offers 128.2K more tokens in context window than DeepSeek-V3.2-Speciale. DeepSeek-V3.2-Speciale is $6.13 cheaper per million tokens. Both models have their strengths depending on your specific coding needs.
+
+
+
+
DeepSeek
DeepSeek-V3.2-Speciale is a high-compute variant of DeepSeek-V3.2 with 685 billion total parameters, made available for a limited period in December 2025. It was released without tool-calling support but demonstrated exceptional reasoning performance, achieving gold-medal results in the 2025 IMO and IOI competitions. DeepSeek-V3.2-Speciale targets research and benchmarking use cases requiring maximum reasoning capability under an MIT license.
+
+
+
+
Moonshot AI
Kimi K2.5, released by Moonshot AI in January 2026, is an updated Mixture-of-Experts large language model with 1 trillion total parameters and 32 billion active parameters. It builds on Kimi K2 with improved coding performance across multiple languages and an expanded context window. Kimi K2.5 targets agentic development workflows, polyglot code generation, and open-source deployments requiring large-scale MoE reasoning.
1 month newer
DeepSeek-V3.2-Speciale
DeepSeek
2025-12
Kimi K2.5
Moonshot AI
2026-01
Pricing Comparison
Cost per million tokens (USD)
+
+
+
+
DeepSeek-V3.2-Speciale
Input:$0.27
Output:$1.10($6.13 cheaper)
+
+
+
+
Kimi K2.5
Input:$1.50
Output:$6.00
Performance Metrics
Context window and performance specifications
Provider Availability & Performance
Available providers and their performance metrics
+
+
+
+
DeepSeek-V3.2-Speciale
1 providers
DeepSeek
+
+
+
+
Kimi K2.5
1 providers
+
+
+
+
DeepSeek-V3.2-Speciale
Avg Score:0.0%
Providers:1
+
+
+
+
Kimi K2.5
Avg Score:0.0%
Providers:1