+
+
+
+
+
+
+
+
VS
VS
VS
VS
VS
VS
Gemini 3 Pro vs MiniMax M2.1
Comprehensive side-by-side LLM comparison
Gemini 3 Pro offers 807.5K more tokens in context window than MiniMax M2.1. MiniMax M2.1 is $21.20 cheaper per million tokens. Gemini 3 Pro supports multimodal inputs. 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.
+
+
+
+
MiniMax
MiniMax M2.1, released by MiniMax on December 23, 2025, is a large language model with approximately 230 billion parameters featuring strong multi-language programming capabilities and an industry-leading multilingual coding profile. It features a 196K token context window and is optimized for complex real-world software engineering tasks across Rust, Java, Golang, C++, TypeScript, and other languages. M2.1 targets agentic coding workflows and applications requiring production-grade programming across diverse language environments.
1 month newer
Gemini 3 Pro
Google DeepMind
2025-11-18
MiniMax M2.1
MiniMax
2025-12-23
Pricing Comparison
Cost per million tokens (USD)
+
+
+
+
Gemini 3 Pro
Input:$2.50
Output:$20.00
+
+
+
+
MiniMax M2.1
Input:$0.20
Output:$1.10($21.20 cheaper)
Performance Metrics
Context window and performance specifications
Provider Availability & Performance
Available providers and their performance metrics
+
+
+
+
Gemini 3 Pro
2 providers
Google Cloud Vertex AI
+
+
+
+
MiniMax M2.1
1 providers
+
+
+
+
Gemini 3 Pro
Avg Score:0.0%
Providers:2
+
+
+
+
MiniMax M2.1
Avg Score:0.0%
Providers:1