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Llama 4 Maverick vs MiniMax M2.1
Comprehensive side-by-side LLM comparison
Llama 4 Maverick offers 803.4K more tokens in context window than MiniMax M2.1. Llama 4 Maverick is $0.94 cheaper per million tokens. Llama 4 Maverick supports multimodal inputs. Both models have their strengths depending on your specific coding needs.
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Meta AI
Llama 4 Maverick, released by Meta on April 5, 2025, is a natively multimodal Mixture-of-Experts large language model with 400 billion total parameters and 17 billion active parameters per inference. It features a 1M token context window and supports text and image input, enabling strong performance on both language and vision tasks. Maverick targets open-source deployments requiring large-scale multimodal reasoning, released under Meta's custom license.
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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.
8 months newer
Llama 4 Maverick
Meta AI
2025-04-05
MiniMax M2.1
MiniMax
2025-12-23
Pricing Comparison
Cost per million tokens (USD)
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Llama 4 Maverick
Input:$0.18
Output:$0.18($0.94 cheaper)
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MiniMax M2.1
Input:$0.20
Output:$1.10
Performance Metrics
Context window and performance specifications
Provider Availability & Performance
Available providers and their performance metrics
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Llama 4 Maverick
1 providers
Together AI
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MiniMax M2.1
1 providers
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Llama 4 Maverick
Avg Score:0.0%
Providers:1
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MiniMax M2.1
Avg Score:0.0%
Providers:1