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GPT-5 vs MiniMax M2.1
Comprehensive side-by-side LLM comparison
GPT-5 offers 232.1K more tokens in context window than MiniMax M2.1. MiniMax M2.1 is $148.70 cheaper per million tokens. GPT-5 supports multimodal inputs. Both models have their strengths depending on your specific coding needs.
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OpenAI
GPT-5, released by OpenAI on August 7, 2025, is a large language model that combines direct generation and extended reasoning in a single unified system with a built-in routing mechanism. It features a 400K token context window, 128K maximum output tokens, native multimodal support (text, image, audio, video), and demonstrated strong results across coding, mathematics, visual understanding, and health benchmarks at release. GPT-5 targets complex multi-step tasks including advanced coding, mathematical problem solving, and long-context analysis.
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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.
4 months newer
GPT-5
OpenAI
2025-08-07
MiniMax M2.1
MiniMax
2025-12-23
Pricing Comparison
Cost per million tokens (USD)
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GPT-5
Input:$30.00
Output:$120.00
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MiniMax M2.1
Input:$0.20
Output:$1.10($148.70 cheaper)
Performance Metrics
Context window and performance specifications
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Knowledge Cutoff
Training data recency comparison
GPT-5
2025-05
More recent knowledge cutoff means awareness of newer technologies and frameworks
Provider Availability & Performance
Available providers and their performance metrics
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GPT-5
1 providers
OpenAI
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MiniMax M2.1
1 providers
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GPT-5
Avg Score:0.0%
Providers:1
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MiniMax M2.1
Avg Score:0.0%
Providers:1