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MiMo-V2.6-Flash vs Phi 4 Reasoning

MiMo-V2.6-Flash leads the LLM Stats Score 45.7 to 12.0.

Xiaomi · Microsoft · Updated for 2026

Which is better?

MiMo-V2.6-Flash leads the overall LLM Stats Score 45.7 to 12.0, ranking #31 overall.

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 want the most recent training data — it shipped Sep 2026

Choose Phi 4 Reasoning

  • you are already invested in the Microsoft ecosystem

At a glance

The differences that matter most.

MiMo-V2.6-Flash
Xiaomi
Phi 4 Reasoning
Microsoft
Core performance indexes
LLM Stats Score
45.7
#31
12.0
#260
Reasoning
43.1
#45
12.6
#249
Coding
36.3
#22
6.4
#196
Cost, coverage & limits
Benchmark wins
—
—
Input price
$0.14 / M
— / M
Output price
$0.28 / M
— / M
Context window
1,048,576
—

Individual benchmarks

16 reported for MiMo-V2.6-Flash · 11 for Phi 4 Reasoning

No common benchmarks found

MiMo-V2.6-Flash and Phi 4 Reasoningdon'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

295.0B diff

MiMo-V2.6-Flash has 295.0B more parameters than Phi 4 Reasoning, making it 2107.1% larger.

Xiaomi
MiMo-V2.6-Flash
309.0Bparameters
Microsoft
Phi 4 Reasoning
14.0Bparameters
309.0B
MiMo-V2.6-Flash
14.0B
Phi 4 Reasoning

Context Window

Maximum input and output token capacity

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

Xiaomi
MiMo-V2.6-Flash
Input1,048,576 tokens
Output- tokens
Microsoft
Phi 4 Reasoning
Input- tokens
Output- tokens
Tue Sep 22 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

MiMo-V2.6-Flash supports multimodal inputs, whereas Phi 4 Reasoning 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

Text
Images
Audio
Video

Phi 4 Reasoning

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-Flash

MIT

Open weights

Phi 4 Reasoning

MIT

Open weights

Release Timeline

When each model was launched

MiMo-V2.6-Flash was released on 2026-09-22, while Phi 4 Reasoning was released on 2025-04-30.

MiMo-V2.6-Flash is 17 months newer than Phi 4 Reasoning.

MiMo-V2.6-Flash

Sep 22, 2026

0 days ago

1.4yr newer
Phi 4 Reasoning

Apr 30, 2025

1.4 years ago

Knowledge Cutoff

When training data ends

Phi 4 Reasoning has a documented knowledge cutoff of 2025-03-01, while MiMo-V2.6-Flash's cutoff date is not specified.

We can confirm Phi 4 Reasoning's training data extends to 2025-03-01, but cannot make a direct comparison without MiMo-V2.6-Flash's cutoff date.

MiMo-V2.6-Flash

—

Phi 4 Reasoning

Mar 2025

Outputs Comparison

Notice missing or incorrect data?Start an Issue discussion→

Judge for yourself.

Run your own prompts against MiMo-V2.6-Flash and Phi 4 Reasoning side-by-side, then vote on the output you prefer.

MiMo-V2.6-Flash
✓ Preferred
Phi 4 Reasoning
Open in Playground

FAQ

Common questions about MiMo-V2.6-Flash vs Phi 4 Reasoning.

Which is better, MiMo-V2.6-Flash or Phi 4 Reasoning?

MiMo-V2.6-Flash leads the LLM Stats Score 45.7 to 12.0. MiMo-V2.6-Flash is made by Xiaomi and Phi 4 Reasoning 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-Flash compare to Phi 4 Reasoning in benchmarks?

MiMo-V2.6-Flash scores CyberGym: 95.1%, Terminal-Bench 2.1: 87.6%, OSWorld-Verified: 80.8%, MiMo Cyber Bench: 77.2%, Toolathlon-Verified: 73.6%. Phi 4 Reasoning scores FlenQA: 97.7%, HumanEval+: 92.9%, IFEval: 83.4%, OmniMath: 76.6%, AIME 2024: 75.3%.

What are the context window sizes for MiMo-V2.6-Flash and Phi 4 Reasoning?

MiMo-V2.6-Flash supports 1.0M tokens and Phi 4 Reasoning 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-Flash and Phi 4 Reasoning?

Key differences include LLM Stats Score (45.7 vs 12.0), multimodal support (yes vs no). See the full comparison above for benchmark-by-benchmark results.

Who makes MiMo-V2.6-Flash and Phi 4 Reasoning?

MiMo-V2.6-Flash is developed by Xiaomi and Phi 4 Reasoning is developed by Microsoft.

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