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MiMo-V2.6-Pro vs Phi-3.5-MoE-instruct

MiMo-V2.6-Pro leads the LLM Stats Score 49.8 to 1.9.

Xiaomi · Microsoft · Updated for 2026

Which is better?

MiMo-V2.6-Pro leads the overall LLM Stats Score 49.8 to 1.9, ranking #19 overall.

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 want the most recent training data — it shipped Sep 2026

Choose Phi-3.5-MoE-instruct

  • you are already invested in the Microsoft ecosystem

At a glance

The differences that matter most.

MiMo-V2.6-Pro
Xiaomi
Phi-3.5-MoE-instruct
Microsoft
Core performance indexes
LLM Stats Score
49.8
#19
1.9
#321
Reasoning
45.2
#30
1.4
#314
Coding
41.8
#9
-3.8
#257
Cost, coverage & limits
Benchmark wins
—
—
Input price
$0.43 / M
— / M
Output price
$0.87 / M
— / M
Context window
1,048,576
—

Individual benchmarks

18 reported for MiMo-V2.6-Pro · 31 for Phi-3.5-MoE-instruct

No common benchmarks found

MiMo-V2.6-Pro and Phi-3.5-MoE-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

Model Size

Parameter count comparison

960.0B diff

MiMo-V2.6-Pro has 960.0B more parameters than Phi-3.5-MoE-instruct, making it 1600.0% larger.

Xiaomi
MiMo-V2.6-Pro
1.0Tparameters
Microsoft
Phi-3.5-MoE-instruct
60.0Bparameters
1020.0B
MiMo-V2.6-Pro
60.0B
Phi-3.5-MoE-instruct

Context Window

Maximum input and output token capacity

Only MiMo-V2.6-Pro specifies input context (1,048,576 tokens).

Xiaomi
MiMo-V2.6-Pro
Input1,048,576 tokens
Output- tokens
Microsoft
Phi-3.5-MoE-instruct
Input- tokens
Output- tokens
Tue Sep 22 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

MiMo-V2.6-Pro supports multimodal inputs, whereas Phi-3.5-MoE-instruct 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

Text
Images
Audio
Video

Phi-3.5-MoE-instruct

Text
Images
Audio
Video

License

Usage and distribution terms

Both models are licensed under MIT.

Both models share the same licensing terms, providing consistent usage rights.

MiMo-V2.6-Pro

MIT

Open weights

Phi-3.5-MoE-instruct

MIT

Open weights

Release Timeline

When each model was launched

MiMo-V2.6-Pro was released on 2026-09-22, while Phi-3.5-MoE-instruct was released on 2024-08-23.

MiMo-V2.6-Pro is 25 months newer than Phi-3.5-MoE-instruct.

MiMo-V2.6-Pro

Sep 22, 2026

0 days ago

2.1yr newer
Phi-3.5-MoE-instruct

Aug 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.

No cutoff dates available

Outputs Comparison

Notice missing or incorrect data?Start an Issue discussion→

Judge for yourself.

Run your own prompts against MiMo-V2.6-Pro and Phi-3.5-MoE-instruct side-by-side, then vote on the output you prefer.

MiMo-V2.6-Pro
✓ Preferred
Phi-3.5-MoE-instruct
Open in Playground

FAQ

Common questions about MiMo-V2.6-Pro vs Phi-3.5-MoE-instruct.

Which is better, MiMo-V2.6-Pro or Phi-3.5-MoE-instruct?

MiMo-V2.6-Pro leads the LLM Stats Score 49.8 to 1.9. MiMo-V2.6-Pro is made by Xiaomi and Phi-3.5-MoE-instruct is made by Microsoft. The best choice depends on your use case — compare their capability indexes, individual benchmarks, pricing, and limits above.

How does MiMo-V2.6-Pro compare to Phi-3.5-MoE-instruct in benchmarks?

MiMo-V2.6-Pro scores CyberGym: 94.0%, Terminal-Bench 2.1: 89.9%, OSWorld-Verified: 82.0%, MiMo Cyber Bench: 81.7%, Toolathlon-Verified: 76.9%. Phi-3.5-MoE-instruct scores ARC-C: 91.0%, OpenBookQA: 89.6%, GSM8k: 88.7%, PIQA: 88.6%, RULER: 87.1%.

What are the context window sizes for MiMo-V2.6-Pro and Phi-3.5-MoE-instruct?

MiMo-V2.6-Pro supports 1.0M tokens and Phi-3.5-MoE-instruct supports an unknown number of tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.

What are the main differences between MiMo-V2.6-Pro and Phi-3.5-MoE-instruct?

Key differences include LLM Stats Score (49.8 vs 1.9), multimodal support (yes vs no). See the full comparison above for benchmark-by-benchmark results.

Who makes MiMo-V2.6-Pro and Phi-3.5-MoE-instruct?

MiMo-V2.6-Pro is developed by Xiaomi and Phi-3.5-MoE-instruct is developed by Microsoft.

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