MiMo-V2.6-Flash vs Qwen3.5-0.8B
MiMo-V2.6-Flash leads the LLM Stats Score 45.6 to -6.2.
Xiaomi · Alibaba Cloud / Qwen Team · Updated for 2026
Which is better?
MiMo-V2.6-Flash leads the overall LLM Stats Score 45.6 to -6.2, ranking #29 overall.
Based on current LLM Stats indexes, shared benchmarks, pricing, and model metadata for 2026.
Choose MiMo-V2.6-Flash
- overall performance matters — it scores 45.6 and ranks #29 on LLM Stats
- your work emphasizes reasoning and agents — it leads those capability indexes
- you want the most recent training data — it shipped Sep 2026
Choose Qwen3.5-0.8B
- you are already invested in the Alibaba Cloud / Qwen Team ecosystem
At a glance
The differences that matter most.
Capability indexes
Additional strengths measured across groups of related public benchmarks
Individual benchmarks
16 reported for MiMo-V2.6-Flash · 20 for Qwen3.5-0.8B
MiMo-V2.6-Flash and Qwen3.5-0.8Bdon't have any common benchmark datasets to compare. They may have been evaluated on different testing suites.
Human preference
Blind head-to-head votes and playground preference scores
Model Size
Parameter count comparison
MiMo-V2.6-Flash has 308.2B more parameters than Qwen3.5-0.8B, making it 38525.0% larger.
Input capabilities
Documented input modalities across available providers
Both MiMo-V2.6-Flash and Qwen3.5-0.8B support multimodal inputs.
They are both capable of processing various types of data, offering versatility in application.
MiMo-V2.6-Flash
Qwen3.5-0.8B
License
Usage and distribution terms
MiMo-V2.6-Flash is licensed under MIT, while Qwen3.5-0.8B 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-V2.6-Flash was released on 2026-09-22, while Qwen3.5-0.8B was released on 2026-03-02.
MiMo-V2.6-Flash is 7 months newer than Qwen3.5-0.8B.
Sep 22, 2026
-1 days ago
6mo newerMar 2, 2026
6 months ago
Knowledge 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-V2.6-Flash and Qwen3.5-0.8B side-by-side, then vote on the output you prefer.
FAQ
Common questions about MiMo-V2.6-Flash vs Qwen3.5-0.8B.