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Gemini 2.5 Flash vs MiniMax M2.1
Comprehensive side-by-side LLM comparison
Gemini 2.5 Flash offers 807.5K more tokens in context window than MiniMax M2.1. Gemini 2.5 Flash is $0.55 cheaper per million tokens. Gemini 2.5 Flash supports multimodal inputs. Both models have their strengths depending on your specific coding needs.
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Google DeepMind
Gemini 2.5 Flash, released by Google in June 2025, is a large language model from the Gemini 2.5 family optimized for high-throughput, cost-efficient deployments with multimodal reasoning. It features a 1M token context window, hybrid thinking control, and native support for text, image, video, and audio input. Gemini 2.5 Flash targets latency-sensitive applications, document analysis, and high-volume API workloads that benefit from combined reasoning and generation in a single model.
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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.
6 months newer
Gemini 2.5 Flash
Google DeepMind
2025-06-17
MiniMax M2.1
MiniMax
2025-12-23
Pricing Comparison
Cost per million tokens (USD)
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Gemini 2.5 Flash
Input:$0.15
Output:$0.60($0.55 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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Gemini 2.5 Flash
2 providers
Google Cloud Vertex AI
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MiniMax M2.1
1 providers
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Gemini 2.5 Flash
Avg Score:0.0%
Providers:2
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MiniMax M2.1
Avg Score:0.0%
Providers:1