MiniMax M2.1 vs Qwen3.8 Flash
Qwen3.8 Flash leads the LLM Stats Score 49.6 to 32.2. Qwen3.8 Flash is 2.3x cheaper per token.
MiniMax · Alibaba Cloud / Qwen Team · Updated for 2026
Which is better?
Qwen3.8 Flash leads the overall LLM Stats Score 49.6 to 32.2, ranking #16 overall.
In the 5 individual benchmarks reported for both models, Qwen3.8 Flash wins 5; this is a narrower head-to-head signal than the composite indexes.
On price, Qwen3.8 Flash is roughly 2.3x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.
Based on current LLM Stats indexes, shared benchmarks, pricing, and model metadata for 2026.
Choose MiniMax M2.1
- you need open weights you can self-host or fine-tune
Choose Qwen3.8 Flash
- overall performance matters — it scores 49.6 and ranks #16 on LLM Stats
- your work emphasizes reasoning and coding — it leads those capability indexes
- you value its reported benchmark strengths — it wins 5 of 5 exact shared results
- cost matters — it's about 2.3x cheaper per token
- you want the most recent training data — it shipped Aug 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 · 22 for Qwen3.8 Flash
MiniMax M2.1 outperforms in 0 benchmarks, while Qwen3.8 Flash is better at 5 benchmarks (GPQA, Humanity's Last Exam, IFBench, SWE-bench Multilingual, Toolathlon).
Qwen3.8 Flash significantly outperforms across most benchmarks.
Human preference
Blind head-to-head votes and playground preference scores
Pricing Analysis
Price comparison per million tokens
For input processing, MiniMax M2.1 ($0.30/1M tokens) is 2.0x more expensive than Qwen3.8 Flash ($0.15/1M tokens).
For output processing, MiniMax M2.1 ($1.20/1M tokens) is 2.6x more expensive than Qwen3.8 Flash ($0.47/1M tokens).
In conclusion, MiniMax M2.1 is more expensive than Qwen3.8 Flash.*
* Using a 3:1 ratio of input to output tokens
Model Size
Parameter count comparison
MiniMax M2.1 has 105.0B more parameters than Qwen3.8 Flash, making it 84.0% larger.
Context Window
Maximum input and output token capacity
Both models have the same input context window of 1,000,000 tokens. MiniMax M2.1 can generate longer responses up to 1,000,000 tokens, while Qwen3.8 Flash is limited to 131,072 tokens.
Input capabilities
Documented input modalities across available providers
Qwen3.8 Flash supports multimodal inputs, whereas MiniMax M2.1 does not.
Qwen3.8 Flash can handle both text and other forms of data like images, making it suitable for multimodal applications.
MiniMax M2.1
Qwen3.8 Flash
License
Usage and distribution terms
MiniMax M2.1 is licensed under MIT, while Qwen3.8 Flash uses a proprietary license.
License differences may affect how you can use these models in commercial or open-source projects.
MIT
Open weights
Proprietary
Closed source
Release Timeline
When each model was launched
MiniMax M2.1 was released on 2025-12-23, while Qwen3.8 Flash was released on 2026-08-26.
Qwen3.8 Flash is 8 months newer than MiniMax M2.1.
Dec 23, 2025
8 months ago
Aug 26, 2026
5 days ago
8mo newerKnowledge Cutoff
When training data ends
Neither model specifies a knowledge cutoff date.
Unable to compare the recency of their training data.
Provider Availability
MiniMax M2.1 is available from MiniMax. Qwen3.8 Flash is available from Novita.
MiniMax M2.1
Qwen3.8 Flash
Outputs Comparison
Judge for yourself.
Run your own prompts against MiniMax M2.1 and Qwen3.8 Flash side-by-side, then vote on the output you prefer.
FAQ
Common questions about MiniMax M2.1 vs Qwen3.8 Flash.