MiMo-V2-Flash vs Qwen3.8-27B
Qwen3.8-27B significantly outperforms across most benchmarks.
Xiaomi · Alibaba Cloud / Qwen Team · Updated for 2026
Which is better?
MiMo-V2-Flash outperforms in 0 benchmarks, while Qwen3.8-27B is better at 3 benchmarks (GPQA, Humanity's Last Exam, LiveCodeBench v6). Qwen3.8-27B significantly outperforms across most benchmarks.
Based on current benchmark, pricing, and model metadata for 2026.
Choose MiMo-V2-Flash
- you want predictable pricing at $0.10/M input and $0.30/M output
Choose Qwen3.8-27B
- you want the strongest raw capability — it leads on 3 of 3 shared benchmarks
- you want the most recent training data — it shipped Aug 2026
At a glance
The differences that matter most.
Performance Benchmarks
Comparative analysis across standard metrics
MiMo-V2-Flash outperforms in 0 benchmarks, while Qwen3.8-27B is better at 3 benchmarks (GPQA, Humanity's Last Exam, LiveCodeBench v6).
Qwen3.8-27B significantly outperforms across most benchmarks.
Arena Performance
Playground indexes and blind preference scores
Model Size
Parameter count comparison
MiMo-V2-Flash has 281.2B more parameters than Qwen3.8-27B, making it 1012.3% larger.
Context Window
Maximum input and output token capacity
Only MiMo-V2-Flash specifies input context (256,000 tokens). Only MiMo-V2-Flash specifies output context (16,384 tokens).
Input Capabilities
Supported data types and modalities
Qwen3.8-27B supports multimodal inputs, whereas MiMo-V2-Flash does not.
Qwen3.8-27B can handle both text and other forms of data like images, making it suitable for multimodal applications.
MiMo-V2-Flash
Qwen3.8-27B
License
Usage and distribution terms
MiMo-V2-Flash is licensed under MIT, while Qwen3.8-27B 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
MiMo-V2-Flash was released on 2025-12-16, while Qwen3.8-27B was released on 2026-08-14.
Qwen3.8-27B is 8 months newer than MiMo-V2-Flash.
Dec 16, 2025
8 months ago
Aug 14, 2026
1 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
Judge for yourself.
Run your own prompts against MiMo-V2-Flash and Qwen3.8-27B side-by-side, then vote on the output you prefer.
FAQ
Common questions about MiMo-V2-Flash vs Qwen3.8-27B.