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MiniMax M2.1 vs Phi-3.5-MoE Instruct
Comprehensive side-by-side LLM comparison
. Both models have their strengths depending on your specific coding needs.
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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.
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Microsoft
Phi-3.5-MoE-instruct is a sparse mixture-of-experts model from Microsoft's Phi research team, released in August 2024 with 42 billion total parameters across 16 experts and approximately 6.6 billion active parameters per forward pass. The model applies Microsoft's small-data, high-quality training philosophy — developed across earlier Phi generations — to a MoE architecture, targeting reasoning quality comparable to much larger dense models at a fraction of the inference compute. Released under the MIT license, it was notable in the research community for demonstrating that MoE efficiency gains could be realized at smaller total parameter counts than typical large-scale MoE deployments.
1 year newer
Phi-3.5-MoE Instruct
Microsoft
2024-08-22
MiniMax M2.1
MiniMax
2025-12-23
Performance Metrics
Context window and performance specifications
Provider Availability & Performance
Available providers and their performance metrics
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MiniMax M2.1
1 providers
MiniMax
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Phi-3.5-MoE Instruct
0 providers
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MiniMax M2.1
Avg Score:0.0%
Providers:1
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Phi-3.5-MoE Instruct
Avg Score:0.0%
Providers:0