Comprehensive side-by-side LLM comparison
Gemini 3.1 Pro offers 978.1K more tokens in context window than DeepSeek-V3.2-Speciale. DeepSeek-V3.2-Speciale is $12.63 cheaper per million tokens. Gemini 3.1 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 3.1 Pro is a multimodal language model from Google DeepMind, released in preview in February 2026 as a point-version upgrade to Gemini 3 Pro focused on improving reasoning depth, factual grounding, and coding and agentic task performance. The model accepts text, images, video, audio, and PDFs as inputs across a 1M token context window, extending the multimodal breadth of the Gemini 3 series with a companion endpoint specifically optimized for custom tool use in agentic pipelines. Google describes it as built to refine the reliability and performance of the Gemini 3 Pro series, reflecting an incremental engineering iteration rather than an architectural overhaul.
2 months newer

DeepSeek-V3.2-Speciale
DeepSeek
2025-12

Gemini 3.1 Pro
Google DeepMind
2026-02-19
Cost per million tokens (USD)
DeepSeek-V3.2-Speciale
Gemini 3.1 Pro
Context window and performance specifications
Gemini 3.1 Pro
2025-01
Available providers and their performance metrics
DeepSeek-V3.2-Speciale
DeepSeek
Gemini 3.1 Pro
DeepSeek-V3.2-Speciale
Gemini 3.1 Pro
DeepSeek-V3.2-Speciale
Gemini 3.1 Pro