Comprehensive side-by-side LLM comparison
Gemini 2.5 Pro offers 872.2K more tokens in context window than DeepSeek-V3.2-Speciale. DeepSeek-V3.2-Speciale is $9.88 cheaper per million tokens. Gemini 2.5 Pro supports multimodal inputs. 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.
Google DeepMind
Gemini 2.5 Pro, released by Google in May 2025, is a large language model from the Gemini 2.5 family designed for complex reasoning, coding, and long-context analysis tasks. It features a 1M token context window, native support for text, image, video, and audio input, and integrated thinking capabilities for multi-step problem solving. Gemini 2.5 Pro targets advanced coding workflows, scientific reasoning, and applications requiring deep understanding across large, mixed-modality contexts.
6 months newer

Gemini 2.5 Pro
Google DeepMind
2025-05-20

DeepSeek-V3.2-Speciale
DeepSeek
2025-12
Cost per million tokens (USD)
DeepSeek-V3.2-Speciale
Gemini 2.5 Pro
Context window and performance specifications
Available providers and their performance metrics
DeepSeek-V3.2-Speciale
DeepSeek
Gemini 2.5 Pro
DeepSeek-V3.2-Speciale
Gemini 2.5 Pro
DeepSeek-V3.2-Speciale
Gemini 2.5 Pro
Google Cloud Vertex AI