MiniMax M1 80K vs Qwen3.5-9B Comparison
Comparing MiniMax M1 80K and Qwen3.5-9B across benchmarks, pricing, and capabilities.
Performance Benchmarks
Comparative analysis across standard metrics
MiniMax M1 80K outperforms in 1 benchmarks (LongBench v2), while Qwen3.5-9B is better at 3 benchmarks (GPQA, MMLU-Pro, Multi-Challenge).
Qwen3.5-9B shows notably better performance in the majority of benchmarks.
Arena Performance
Human preference votes
Pricing Analysis
Price comparison per million tokens
Cost data unavailable.
Model Size
Parameter count comparison
MiniMax M1 80K has 447.0B more parameters than Qwen3.5-9B, making it 4966.7% larger.
Context Window
Maximum input and output token capacity
Only MiniMax M1 80K specifies input context (1,000,000 tokens). Only MiniMax M1 80K specifies output context (40,000 tokens).
Input Capabilities
Supported data types and modalities
Qwen3.5-9B supports multimodal inputs, whereas MiniMax M1 80K does not.
Qwen3.5-9B can handle both text and other forms of data like images, making it suitable for multimodal applications.
MiniMax M1 80K
Qwen3.5-9B
License
Usage and distribution terms
MiniMax M1 80K is licensed under MIT, while Qwen3.5-9B 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 M1 80K was released on 2025-06-16, while Qwen3.5-9B was released on 2026-03-02.
Qwen3.5-9B is 9 months newer than MiniMax M1 80K.
Jun 16, 2025
9 months ago
Mar 2, 2026
2 weeks ago
8mo 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 M1 80K
View detailsMiniMax
Qwen3.5-9B
View detailsAlibaba Cloud / Qwen Team
Detailed Comparison
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