Comprehensive side-by-side LLM comparison
Gemini 3 Pro leads with 9.2% higher average benchmark score. Gemini 3 Pro offers 744.0K more tokens in context window than Devstral-2-123B. Devstral-2-123B is $18.50 cheaper per million tokens. Gemini 3 Pro supports multimodal inputs. Overall, Gemini 3 Pro is the stronger choice for coding tasks.
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.
Google DeepMind
Gemini 3 Pro, released by Google in November 2025, is a large language model from the Gemini 3 family designed for complex reasoning, broad world knowledge, and multi-step problem solving. It features a 1M token context window, 64K maximum output tokens, and native multimodal input including text, images, audio, and video. Gemini 3 Pro targets research-grade reasoning, advanced data analysis, and applications requiring comprehensive understanding across diverse input formats.
21 days newer

Gemini 3 Pro
Google DeepMind
2025-11-18

Devstral-2-123B
Mistral AI
2025-12-09
Cost per million tokens (USD)
Devstral-2-123B
Gemini 3 Pro
Context window and performance specifications
Average performance across 1 common benchmarks
Devstral-2-123B
Gemini 3 Pro
Performance comparison across key benchmark categories
Devstral-2-123B
Gemini 3 Pro
Available providers and their performance metrics
Devstral-2-123B
OpenRouter
Gemini 3 Pro
Devstral-2-123B
Gemini 3 Pro
Devstral-2-123B
Gemini 3 Pro
Google Cloud Vertex AI