Comprehensive side-by-side LLM comparison
Devstral-2-123B offers 128.2K more tokens in context window than DeepSeek-V3.2-Speciale. DeepSeek-V3.2-Speciale is $2.63 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.
Mistral AI
Devstral 2, released by Mistral AI on December 9, 2025, is a 123 billion parameter dense transformer model specifically designed for software engineering tasks. It features a 256K token context window and achieved 72.2% on SWE-bench Verified at release, making it a competitive open-weight option for automated coding and agentic development. Devstral 2 targets code generation, multi-file software engineering, and agentic development workflows under a modified MIT license.
8 days newer

DeepSeek-V3.2-Speciale
DeepSeek
2025-12

Devstral-2-123B
Mistral AI
2025-12-09
Cost per million tokens (USD)
DeepSeek-V3.2-Speciale
Devstral-2-123B
Context window and performance specifications
Available providers and their performance metrics
DeepSeek-V3.2-Speciale
DeepSeek
Devstral-2-123B
DeepSeek-V3.2-Speciale
Devstral-2-123B
DeepSeek-V3.2-Speciale
Devstral-2-123B
OpenRouter