MiMo-V2.6-Flash vs Step-3.5-Flash
MiMo-V2.6-Flash leads the LLM Stats Score 45.6 to 37.2. MiMo-V2.6-Flash and Step-3.5-Flash cost the same.
Xiaomi · StepFun · Updated for 2026
Which is better?
MiMo-V2.6-Flash leads the overall LLM Stats Score 45.6 to 37.2, ranking #29 overall.
MiMo-V2.6-Flash also accepts a larger context window (1,048,576 input tokens), making it the stronger choice for long documents and large codebases.
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 coding and agents — it leads those capability indexes
- you process long inputs — it offers a 1,048,576 token context window
- you want the most recent training data — it shipped Sep 2026
Choose Step-3.5-Flash
- you want predictable pricing at $0.10/M input and $0.40/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 · 7 for Step-3.5-Flash
MiMo-V2.6-Flash and Step-3.5-Flashdon'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
Pricing Analysis
Price comparison per million tokens
For input processing, MiMo-V2.6-Flash ($0.14/1M tokens) is 1.4x more expensive than Step-3.5-Flash ($0.10/1M tokens).
For output processing, MiMo-V2.6-Flash ($0.28/1M tokens) is 1.4x cheaper than Step-3.5-Flash ($0.40/1M tokens).
In conclusion, MiMo-V2.6-Flash and Step-3.5-Flash cost the same.*
* Using a 3:1 ratio of input to output tokens
Model Size
Parameter count comparison
MiMo-V2.6-Flash has 113.0B more parameters than Step-3.5-Flash, making it 57.7% larger.
Context Window
Maximum input and output token capacity
MiMo-V2.6-Flash accepts 1,048,576 input tokens compared to Step-3.5-Flash's 65,536 tokens. Only Step-3.5-Flash specifies output context (8,192 tokens).
Input capabilities
Documented input modalities across available providers
MiMo-V2.6-Flash supports multimodal inputs, whereas Step-3.5-Flash does not.
MiMo-V2.6-Flash can handle both text and other forms of data like images, making it suitable for multimodal applications.
MiMo-V2.6-Flash
Step-3.5-Flash
License
Usage and distribution terms
MiMo-V2.6-Flash is licensed under MIT, while Step-3.5-Flash 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 Step-3.5-Flash was released on 2026-02-02.
MiMo-V2.6-Flash is 8 months newer than Step-3.5-Flash.
Sep 22, 2026
0 days ago
7mo newerFeb 2, 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.
Provider Availability
MiMo-V2.6-Flash is available from Xiaomi. Step-3.5-Flash is available from StepFun.
MiMo-V2.6-Flash
Step-3.5-Flash
Outputs Comparison
Judge for yourself.
Run your own prompts against MiMo-V2.6-Flash and Step-3.5-Flash side-by-side, then vote on the output you prefer.
FAQ
Common questions about MiMo-V2.6-Flash vs Step-3.5-Flash.