+
+
+
+
+
+
+
+
VS
VS
VS
VS
VS
VS
GPT-5.2 vs Minimax M 2.5
Comprehensive side-by-side LLM comparison
GPT-5.2 leads with 5.6% higher average benchmark score. GPT-5.2 supports multimodal inputs. Overall, GPT-5.2 is the stronger choice for coding tasks.
+
+
+
+
OpenAI
GPT-5.2, released by OpenAI on December 11, 2025, is a large language model from the GPT-5 family that improves on GPT-5 in general intelligence, long-context understanding, agentic tool-calling, and vision. It features a 400K token context window, 128K maximum output tokens, and a knowledge cutoff of August 2025. GPT-5.2 targets long-context coding tasks, extended document analysis, and complex agentic workflows requiring reliable instruction following.
+
+
+
+
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.
2 months newer
GPT-5.2
OpenAI
2025-12-11
Minimax M 2.5
MiniMax
2026-02-13
Performance Metrics
Context window and performance specifications
Average performance across 2 common benchmarks
+
+
+
+
GPT-5.2
Average Score:65.5%(+5.6%)
+
+
+
+
Minimax M 2.5
Average Score:59.9%
Performance comparison across key benchmark categories
+
+
+
+
GPT-5.2
Coding65.5%(+5.6%)
+
+
+
+
Minimax M 2.5
Coding59.9%
+
+
+
+
Knowledge Cutoff
Training data recency comparison
GPT-5.2
2025-08
More recent knowledge cutoff means awareness of newer technologies and frameworks
Provider Availability & Performance
Available providers and their performance metrics
+
+
+
+
GPT-5.2
0 providers
+
+
+
+
Minimax M 2.5
1 providers
MiniMax
+
+
+
+
GPT-5.2
Avg Score:65.5%(+5.6%)
Providers:0
+
+
+
+
Minimax M 2.5
Avg Score:59.9%
Providers:1