Comprehensive side-by-side LLM comparison
Gemini 3 Pro leads with 4.6% higher average benchmark score. Gemini 3 Pro supports multimodal inputs. Gemini 3 Pro is available on 2 providers. Both models have their strengths depending on your specific coding needs.
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.
Xiaomi
MiMo-V2-Flash, released by Xiaomi on December 16, 2025, is a Mixture-of-Experts large language model with 309 billion total parameters and 15 billion active parameters per inference, designed for high-speed reasoning and agentic workflows. It features a 256K token context window, processes up to 150 tokens per second, and was trained on 27 trillion tokens. MiMo-V2-Flash targets open-source deployments requiring fast, capable coding and reasoning with an efficient inference footprint, under an MIT license.
28 days newer

Gemini 3 Pro
Google DeepMind
2025-11-18
MiMo-V2-Flash
Xiaomi
2025-12-16
Context window and performance specifications
Average performance across 1 common benchmarks
Gemini 3 Pro
MiMo-V2-Flash
Performance comparison across key benchmark categories
Gemini 3 Pro
MiMo-V2-Flash
Available providers and their performance metrics
Gemini 3 Pro
Google Cloud Vertex AI
MiMo-V2-Flash
Gemini 3 Pro
MiMo-V2-Flash
Gemini 3 Pro
MiMo-V2-Flash