MiMo-V2.6-Pro vs Phi-4-multimodal-instruct
MiMo-V2.6-Pro leads the LLM Stats Score 49.8 to 2.8. Phi-4-multimodal-instruct is 8.7x cheaper per token.
Xiaomi · Microsoft · Updated for 2026
Which is better?
MiMo-V2.6-Pro leads the overall LLM Stats Score 49.8 to 2.8, ranking #19 overall.
On price, Phi-4-multimodal-instruct is roughly 8.7x 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 — 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-4-multimodal-instruct
- cost matters — it's about 8.7x cheaper per token
At a glance
The differences that matter most.
Individual benchmarks
18 reported for MiMo-V2.6-Pro · 15 for Phi-4-multimodal-instruct
MiMo-V2.6-Pro and Phi-4-multimodal-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-Pro ($0.43/1M tokens) is 8.7x more expensive than Phi-4-multimodal-instruct ($0.05/1M tokens).
For output processing, MiMo-V2.6-Pro ($0.87/1M tokens) is 8.7x more expensive than Phi-4-multimodal-instruct ($0.10/1M tokens).
In conclusion, MiMo-V2.6-Pro is more expensive than Phi-4-multimodal-instruct.*
* Using a 3:1 ratio of input to output tokens
Model Size
Parameter count comparison
MiMo-V2.6-Pro has 1014.4B more parameters than Phi-4-multimodal-instruct, making it 18114.3% larger.
Context Window
Maximum input and output token capacity
MiMo-V2.6-Pro accepts 1,048,576 input tokens compared to Phi-4-multimodal-instruct's 128,000 tokens. Only Phi-4-multimodal-instruct specifies output context (128,000 tokens).
Input capabilities
Documented input modalities across available providers
Both MiMo-V2.6-Pro and Phi-4-multimodal-instruct support multimodal inputs.
They are both capable of processing various types of data, offering versatility in application.
MiMo-V2.6-Pro
Phi-4-multimodal-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-Pro was released on 2026-09-22, while Phi-4-multimodal-instruct was released on 2025-02-01.
MiMo-V2.6-Pro is 20 months newer than Phi-4-multimodal-instruct.
Sep 22, 2026
0 days ago
1.6yr newerFeb 1, 2025
1.6 years ago
Knowledge Cutoff
When training data ends
Phi-4-multimodal-instruct has a documented knowledge cutoff of 2024-06-01, while MiMo-V2.6-Pro's cutoff date is not specified.
We can confirm Phi-4-multimodal-instruct's training data extends to 2024-06-01, but cannot make a direct comparison without MiMo-V2.6-Pro's cutoff date.
—
Jun 2024
Provider Availability
MiMo-V2.6-Pro is available from Xiaomi. Phi-4-multimodal-instruct is available from DeepInfra.
MiMo-V2.6-Pro
Phi-4-multimodal-instruct
Outputs Comparison
Judge for yourself.
Run your own prompts against MiMo-V2.6-Pro and Phi-4-multimodal-instruct side-by-side, then vote on the output you prefer.
FAQ
Common questions about MiMo-V2.6-Pro vs Phi-4-multimodal-instruct.