MiMo-V2.6-Flash vs Phi-3.5-mini-instruct
MiMo-V2.6-Flash leads the LLM Stats Score 45.7 to -3.8. Phi-3.5-mini-instruct is 1.8x cheaper per token.
Xiaomi · Microsoft · Updated for 2026
Which is better?
MiMo-V2.6-Flash leads the overall LLM Stats Score 45.7 to -3.8, ranking #31 overall.
On price, Phi-3.5-mini-instruct is roughly 1.8x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.
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 45.7 and ranks #31 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 Phi-3.5-mini-instruct
- cost matters — it's about 1.8x cheaper per token
At a glance
The differences that matter most.
Individual benchmarks
16 reported for MiMo-V2.6-Flash · 31 for Phi-3.5-mini-instruct
MiMo-V2.6-Flash and Phi-3.5-mini-instructdon'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 Phi-3.5-mini-instruct ($0.10/1M tokens).
For output processing, MiMo-V2.6-Flash ($0.28/1M tokens) is 2.8x more expensive than Phi-3.5-mini-instruct ($0.10/1M tokens).
In conclusion, MiMo-V2.6-Flash is more expensive than Phi-3.5-mini-instruct.*
* Using a 3:1 ratio of input to output tokens
Model Size
Parameter count comparison
MiMo-V2.6-Flash has 305.2B more parameters than Phi-3.5-mini-instruct, making it 8031.6% larger.
Context Window
Maximum input and output token capacity
MiMo-V2.6-Flash accepts 1,048,576 input tokens compared to Phi-3.5-mini-instruct's 128,000 tokens. Only Phi-3.5-mini-instruct specifies output context (128,000 tokens).
Input capabilities
Documented input modalities across available providers
MiMo-V2.6-Flash supports multimodal inputs, whereas Phi-3.5-mini-instruct 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
Phi-3.5-mini-instruct
License
Usage and distribution terms
Both models are licensed under MIT.
Both models share the same licensing terms, providing consistent usage rights.
MIT
Open weights
MIT
Open weights
Release Timeline
When each model was launched
MiMo-V2.6-Flash was released on 2026-09-22, while Phi-3.5-mini-instruct was released on 2024-08-23.
MiMo-V2.6-Flash is 25 months newer than Phi-3.5-mini-instruct.
Sep 22, 2026
0 days ago
2.1yr newerAug 23, 2024
2.1 years 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. Phi-3.5-mini-instruct is available from Azure.
MiMo-V2.6-Flash
Phi-3.5-mini-instruct
Outputs Comparison
Judge for yourself.
Run your own prompts against MiMo-V2.6-Flash and Phi-3.5-mini-instruct side-by-side, then vote on the output you prefer.
FAQ
Common questions about MiMo-V2.6-Flash vs Phi-3.5-mini-instruct.