MiMo-V2.6-Flash vs Qwen3.5-397B-A17B
MiMo-V2.6-Flash leads the LLM Stats Score 45.7 to 38.7.
Xiaomi · Alibaba Cloud / Qwen Team · Updated for 2026
Which is better?
MiMo-V2.6-Flash leads the overall LLM Stats Score 45.7 to 38.7, 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 45.7 and ranks #29 on LLM Stats
- your work emphasizes reasoning and coding — it leads those capability indexes
- you want the most recent training data — it shipped Sep 2026
Choose Qwen3.5-397B-A17B
- you want predictable pricing at $0.45/M input and $3.00/M output
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 · 38 for Qwen3.5-397B-A17B
MiMo-V2.6-Flash and Qwen3.5-397B-A17Bdon'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
Qwen3.5-397B-A17B has 88.0B more parameters than MiMo-V2.6-Flash, making it 28.5% larger.
Context Window
Maximum input and output token capacity
Only Qwen3.5-397B-A17B specifies input context (262,144 tokens). Only Qwen3.5-397B-A17B specifies output context (262,144 tokens).
Input capabilities
Documented input modalities across available providers
Both MiMo-V2.6-Flash and Qwen3.5-397B-A17B support multimodal inputs.
They are both capable of processing various types of data, offering versatility in application.
MiMo-V2.6-Flash
Qwen3.5-397B-A17B
License
Usage and distribution terms
MiMo-V2.6-Flash is licensed under MIT, while Qwen3.5-397B-A17B 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 Qwen3.5-397B-A17B was released on 2026-02-16.
MiMo-V2.6-Flash is 7 months newer than Qwen3.5-397B-A17B.
Sep 22, 2026
-1 days ago
7mo newerFeb 16, 2026
7 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 Qwen3.5-397B-A17B side-by-side, then vote on the output you prefer.
FAQ
Common questions about MiMo-V2.6-Flash vs Qwen3.5-397B-A17B.