Model Comparison
MiniMax M2.1 vs Qwen2.5-Coder 7B Instruct
MiniMax M2.1 significantly outperforms across most benchmarks.
Performance Benchmarks
Comparative analysis across standard metrics
MiniMax M2.1 outperforms in 2 benchmarks (LiveCodeBench, MMLU-Pro), while Qwen2.5-Coder 7B Instruct is better at 0 benchmarks.
MiniMax M2.1 significantly outperforms across most benchmarks.
Arena Performance
Human preference votes
Pricing Analysis
Price comparison per million tokens
Cost data unavailable.
Model Size
Parameter count comparison
MiniMax M2.1 has 223.0B more parameters than Qwen2.5-Coder 7B Instruct, making it 3185.7% larger.
Context Window
Maximum input and output token capacity
Only MiniMax M2.1 specifies input context (1,000,000 tokens). Only MiniMax M2.1 specifies output context (1,000,000 tokens).
License
Usage and distribution terms
MiniMax M2.1 is licensed under MIT, while Qwen2.5-Coder 7B Instruct uses Apache 2.0.
License differences may affect how you can use these models in commercial or open-source projects.
MIT
Open weights
Apache 2.0
Open weights
Release Timeline
When each model was launched
MiniMax M2.1 was released on 2025-12-23, while Qwen2.5-Coder 7B Instruct was released on 2024-09-19.
MiniMax M2.1 is 15 months newer than Qwen2.5-Coder 7B Instruct.
Dec 23, 2025
3 months ago
1.3yr newerSep 19, 2024
1.6 years ago
Knowledge Cutoff
When training data ends
Neither model specifies a knowledge cutoff date.
Unable to compare the recency of their training data.
Outputs Comparison
Key Takeaways
MiniMax M2.1
View detailsMiniMax
Qwen2.5-Coder 7B Instruct
View detailsAlibaba Cloud / Qwen Team
Detailed Comparison
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FAQ
Common questions about MiniMax M2.1 vs Qwen2.5-Coder 7B Instruct