MiniMax M2.1 vs Qwen3.6-35B-A3B
MiniMax M2.1 and Qwen3.6-35B-A3B are closely matched at 32.2 and 32.7 on the LLM Stats Score.
MiniMax · Alibaba Cloud / Qwen Team · Updated for 2026
Which is better?
MiniMax M2.1 and Qwen3.6-35B-A3B are closely matched on the overall LLM Stats Score at 32.2 and 32.7.
In the 6 individual benchmarks reported for both models, MiniMax M2.1 wins 4; this is a narrower head-to-head signal than the composite indexes.
Based on current LLM Stats indexes, shared benchmarks, pricing, and model metadata for 2026.
Choose MiniMax M2.1
- your work emphasizes agents — it leads those capability indexes
- you value its reported benchmark strengths — it wins 4 of 6 exact shared results
Choose Qwen3.6-35B-A3B
- you want the most recent training data — it shipped Apr 2026
At a glance
The differences that matter most.
Capability indexes
Additional strengths measured across groups of related public benchmarks
Individual benchmarks
25 reported for MiniMax M2.1 · 49 for Qwen3.6-35B-A3B
MiniMax M2.1 outperforms in 4 benchmarks (Humanity's Last Exam, MMLU-Pro, SWE-bench Multilingual, Toolathlon), while Qwen3.6-35B-A3B is better at 2 benchmarks (GPQA, SWE-Bench Verified).
MiniMax M2.1 shows notably better performance in the majority of benchmarks.
Human preference
Blind head-to-head votes and playground preference scores
Model Size
Parameter count comparison
MiniMax M2.1 has 195.0B more parameters than Qwen3.6-35B-A3B, making it 557.1% 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).
Input capabilities
Documented input modalities across available providers
Qwen3.6-35B-A3B supports multimodal inputs, whereas MiniMax M2.1 does not.
Qwen3.6-35B-A3B can handle both text and other forms of data like images, making it suitable for multimodal applications.
MiniMax M2.1
Qwen3.6-35B-A3B
License
Usage and distribution terms
MiniMax M2.1 is licensed under MIT, while Qwen3.6-35B-A3B 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 Qwen3.6-35B-A3B was released on 2026-04-16.
Qwen3.6-35B-A3B is 4 months newer than MiniMax M2.1.
Dec 23, 2025
8 months ago
Apr 16, 2026
4 months ago
3mo newerKnowledge Cutoff
When training data ends
Neither model specifies a knowledge cutoff date.
Unable to compare the recency of their training data.
Outputs Comparison
Judge for yourself.
Run your own prompts against MiniMax M2.1 and Qwen3.6-35B-A3B side-by-side, then vote on the output you prefer.
FAQ
Common questions about MiniMax M2.1 vs Qwen3.6-35B-A3B.