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GPT-5.1 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 supports multimodal inputs. Both models have their strengths depending on your specific coding needs.
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OpenAI
GPT-5.1, released by OpenAI in November 2025, is a large language model from the GPT-5 family that delivers incremental improvements in reasoning, instruction following, and multimodal understanding over GPT-5. It features a 400K token context window and targets general-purpose development, long-context analysis, and agentic workflows.
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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
OpenAI
2025-11
Minimax M 2.5
MiniMax
2026-02-13
Performance Metrics
Context window and performance specifications
Average performance across 1 common benchmarks
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GPT-5.1
Average Score:76.3%
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Minimax M 2.5
Average Score:80.2%(+3.9%)
Performance comparison across key benchmark categories
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GPT-5.1
Coding76.3%
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Minimax M 2.5
Coding80.2%(+3.9%)
Provider Availability & Performance
Available providers and their performance metrics
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GPT-5.1
0 providers
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Minimax M 2.5
1 providers
MiniMax
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GPT-5.1
Avg Score:76.3%
Providers:0
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Minimax M 2.5
Avg Score:80.2%(+3.9%)
Providers:1