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DeepSeek VL2 Tiny vs MiMo-V2.6-Pro

MiMo-V2.6-Pro leads the LLM Stats Score 49.8 to -4.7.

DeepSeek · Xiaomi · Updated for 2026

Which is better?

MiMo-V2.6-Pro leads the overall LLM Stats Score 49.8 to -4.7, ranking #19 overall.

Based on current LLM Stats indexes, shared benchmarks, pricing, and model metadata for 2026.

Choose DeepSeek VL2 Tiny

  • you are already invested in the DeepSeek ecosystem

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 want the most recent training data — it shipped Sep 2026

At a glance

The differences that matter most.

DeepSeek VL2 Tiny
DeepSeek
MiMo-V2.6-Pro
Xiaomi
Core performance indexes
LLM Stats Score
-4.7
#354
49.8
#19
Reasoning
-12.7
#365
45.2
#30
Cost, coverage & limits
Benchmark wins
—
—
Input price
— / M
— / M
Output price
— / M
— / M
Context window
—
—

Individual benchmarks

14 reported for DeepSeek VL2 Tiny · 3 for MiMo-V2.6-Pro

No common benchmarks found

DeepSeek VL2 Tiny and MiMo-V2.6-Prodon'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

1017.0B diff

MiMo-V2.6-Pro has 1017.0B more parameters than DeepSeek VL2 Tiny, making it 33900.0% larger.

DeepSeek
DeepSeek VL2 Tiny
3.0Bparameters
Xiaomi
MiMo-V2.6-Pro
1.0Tparameters
3.0B
DeepSeek VL2 Tiny
1020.0B
MiMo-V2.6-Pro

Input capabilities

Documented input modalities across available providers

Both DeepSeek VL2 Tiny and MiMo-V2.6-Pro support multimodal inputs.

They are both capable of processing various types of data, offering versatility in application.

DeepSeek VL2 Tiny

Text
Images
Audio
Video

MiMo-V2.6-Pro

Text
Images
Audio
Video

License

Usage and distribution terms

DeepSeek VL2 Tiny is licensed under deepseek, while MiMo-V2.6-Pro uses MIT.

License differences may affect how you can use these models in commercial or open-source projects.

DeepSeek VL2 Tiny

deepseek

Open weights

MiMo-V2.6-Pro

MIT

Open weights

Release Timeline

When each model was launched

DeepSeek VL2 Tiny was released on 2024-12-13, while MiMo-V2.6-Pro was released on 2026-09-22.

MiMo-V2.6-Pro is 22 months newer than DeepSeek VL2 Tiny.

DeepSeek VL2 Tiny

Dec 13, 2024

1.8 years ago

MiMo-V2.6-Pro

Sep 22, 2026

-1 days ago

1.8yr newer

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 DeepSeek VL2 Tiny and MiMo-V2.6-Pro side-by-side, then vote on the output you prefer.

DeepSeek VL2 Tiny
✓ Preferred
MiMo-V2.6-Pro
Open in Playground

FAQ

Common questions about DeepSeek VL2 Tiny vs MiMo-V2.6-Pro.

Which is better, DeepSeek VL2 Tiny or MiMo-V2.6-Pro?

MiMo-V2.6-Pro leads the LLM Stats Score 49.8 to -4.7. DeepSeek VL2 Tiny is made by DeepSeek and MiMo-V2.6-Pro is made by Xiaomi. The best choice depends on your use case — compare their capability indexes, individual benchmarks, pricing, and limits above.

How does DeepSeek VL2 Tiny compare to MiMo-V2.6-Pro in benchmarks?

DeepSeek VL2 Tiny scores DocVQA: 88.9%, ChartQA: 81.0%, OCRBench: 80.9%, TextVQA: 80.7%, AI2D: 71.6%. MiMo-V2.6-Pro scores DeepSWE 1.1: 71.9%, MiMo Coding Bench: 63.2%, Program Bench: 26.5%.

What are the main differences between DeepSeek VL2 Tiny and MiMo-V2.6-Pro?

Key differences include LLM Stats Score (-4.7 vs 49.8), licensing (deepseek vs MIT). See the full comparison above for benchmark-by-benchmark results.

Who makes DeepSeek VL2 Tiny and MiMo-V2.6-Pro?

DeepSeek VL2 Tiny is developed by DeepSeek and MiMo-V2.6-Pro is developed by Xiaomi.

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