DeepSeek R1 Distill Qwen 14B vs MiniMax M2 Comparison
Comparing DeepSeek R1 Distill Qwen 14B and MiniMax M2 across benchmarks, pricing, and capabilities.
Performance Benchmarks
Comparative analysis across standard metrics
DeepSeek R1 Distill Qwen 14B outperforms in 0 benchmarks, while MiniMax M2 is better at 2 benchmarks (GPQA, LiveCodeBench).
MiniMax M2 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 has 215.2B more parameters than DeepSeek R1 Distill Qwen 14B, making it 1454.1% larger.
Context Window
Maximum input and output token capacity
Only MiniMax M2 specifies input context (1,000,000 tokens). Only MiniMax M2 specifies output context (1,000,000 tokens).
License
Usage and distribution terms
Both models are licensed under MIT.
Both models share the same licensing terms, providing consistent usage rights.
MIT
Open weights
MIT
Open weights
Release Timeline
When each model was launched
DeepSeek R1 Distill Qwen 14B was released on 2025-01-20, while MiniMax M2 was released on 2025-10-27.
MiniMax M2 is 9 months newer than DeepSeek R1 Distill Qwen 14B.
Jan 20, 2025
1.2 years ago
Oct 27, 2025
4 months ago
9mo newerKnowledge 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
View detailsMiniMax
Detailed Comparison
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