+
+
+
+
+
+
+
+
VS
VS
VS
VS
VS
VS
GPT-5.1 Thinking vs Minimax M 2.5
Comprehensive side-by-side LLM comparison
Minimax M 2.5 leads with 3.9% higher average benchmark score. GPT-5.1 Thinking supports multimodal inputs. Both models have their strengths depending on your specific coding needs.
+
+
+
+
OpenAI
GPT-5.1 Thinking, released by OpenAI in November 2025, is an extended reasoning variant from the GPT-5.1 family that applies chain-of-thought processing to improve accuracy on complex reasoning, mathematics, and coding tasks. It targets analytical workflows where deliberate reasoning over a problem significantly improves output quality.
+
+
+
+
MiniMax
MiniMax M2.5 is a large language model from MiniMax extensively trained with reinforcement learning across hundreds of thousands of complex real-world environments. It targets agentic tool use, coding automation, and office productivity tasks, with strong results on software engineering and web browsing benchmarks. M2.5 represents the next generation of MiniMax's M-series models optimized for production agentic workloads.
3 months newer
GPT-5.1 Thinking
OpenAI
2025-11
Minimax M 2.5
MiniMax
2026-02-13
Performance Metrics
Context window and performance specifications
Average performance across 1 common benchmarks
+
+
+
+
GPT-5.1 Thinking
Average Score:76.3%
+
+
+
+
Minimax M 2.5
Average Score:80.2%(+3.9%)
Performance comparison across key benchmark categories
+
+
+
+
GPT-5.1 Thinking
Coding76.3%
+
+
+
+
Minimax M 2.5
Coding80.2%(+3.9%)
Provider Availability & Performance
Available providers and their performance metrics
+
+
+
+
GPT-5.1 Thinking
0 providers
+
+
+
+
Minimax M 2.5
1 providers
MiniMax
+
+
+
+
GPT-5.1 Thinking
Avg Score:76.3%
Providers:0
+
+
+
+
Minimax M 2.5
Avg Score:80.2%(+3.9%)
Providers:1