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GPT-4.1 vs Minimax M 2.5
Comprehensive side-by-side LLM comparison
GPT-4.1 offers 828.7K more tokens in context window than Minimax M 2.5. Minimax M 2.5 is $8.50 cheaper per million tokens. GPT-4.1 supports multimodal inputs. Both models have their strengths depending on your specific coding needs.
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OpenAI
GPT-4.1, released by OpenAI in April 2025, is a large language model from the GPT-4 family optimized for coding, precise instruction following, and long-context tasks. It features a 1M token context window and native image understanding, with improved performance on tool-calling and web development benchmarks compared to GPT-4o. GPT-4.1 targets software development workflows, long-document analysis, and applications requiring accurate, instruction-adherent outputs.
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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.
10 months newer
GPT-4.1
OpenAI
2025-04-14
Minimax M 2.5
MiniMax
2026-02-13
Pricing Comparison
Cost per million tokens (USD)
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GPT-4.1
Input:$2.00
Output:$8.00
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Minimax M 2.5
Input:$0.30
Output:$1.20($8.50 cheaper)
Performance Metrics
Context window and performance specifications
Provider Availability & Performance
Available providers and their performance metrics
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GPT-4.1
1 providers
OpenAI
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Minimax M 2.5
1 providers
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GPT-4.1
Avg Score:0.0%
Providers:1
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Minimax M 2.5
Avg Score:0.0%
Providers:1