MiMo-V2.6-Pro vs Step-3.5-Flash
MiMo-V2.6-Pro leads the LLM Stats Score 49.8 to 37.2. Step-3.5-Flash is 3.1x cheaper per token.
Xiaomi · StepFun · Updated for 2026
Which is better?
MiMo-V2.6-Pro leads the overall LLM Stats Score 49.8 to 37.2, ranking #19 overall.
On price, Step-3.5-Flash is roughly 3.1x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.
MiMo-V2.6-Pro 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-Pro
- overall performance matters — it scores 49.8 and ranks #19 on LLM Stats
- your work emphasizes reasoning and coding — 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
- cost matters — it's about 3.1x cheaper per token
At a glance
The differences that matter most.
Capability indexes
Additional strengths measured across groups of related public benchmarks
Individual benchmarks
18 reported for MiMo-V2.6-Pro · 7 for Step-3.5-Flash
MiMo-V2.6-Pro 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-Pro ($0.43/1M tokens) is 4.3x more expensive than Step-3.5-Flash ($0.10/1M tokens).
For output processing, MiMo-V2.6-Pro ($0.87/1M tokens) is 2.2x more expensive than Step-3.5-Flash ($0.40/1M tokens).
In conclusion, MiMo-V2.6-Pro is more expensive than Step-3.5-Flash.*
* Using a 3:1 ratio of input to output tokens
Model Size
Parameter count comparison
MiMo-V2.6-Pro has 824.0B more parameters than Step-3.5-Flash, making it 420.4% larger.
Context Window
Maximum input and output token capacity
MiMo-V2.6-Pro 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-Pro supports multimodal inputs, whereas Step-3.5-Flash does not.
MiMo-V2.6-Pro can handle both text and other forms of data like images, making it suitable for multimodal applications.
MiMo-V2.6-Pro
Step-3.5-Flash
License
Usage and distribution terms
MiMo-V2.6-Pro 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-Pro was released on 2026-09-22, while Step-3.5-Flash was released on 2026-02-02.
MiMo-V2.6-Pro 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-Pro is available from Xiaomi. Step-3.5-Flash is available from StepFun.
MiMo-V2.6-Pro
Step-3.5-Flash
Outputs Comparison
Judge for yourself.
Run your own prompts against MiMo-V2.6-Pro and Step-3.5-Flash side-by-side, then vote on the output you prefer.
FAQ
Common questions about MiMo-V2.6-Pro vs Step-3.5-Flash.