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DeepSeek VL2 Tiny vs MiMo-V2.6-Flash

MiMo-V2.6-Flash leads the LLM Stats Score 45.6 to -4.7.

DeepSeek · Xiaomi · Updated for 2026

Which is better?

MiMo-V2.6-Flash leads the overall LLM Stats Score 45.6 to -4.7, ranking #29 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-Flash

  • overall performance matters — it scores 45.6 and ranks #29 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-Flash
Xiaomi
Core performance indexes
LLM Stats Score
-4.7
#354
45.6
#29
Reasoning
-12.7
#365
42.5
#45
Cost, coverage & limits
Benchmark wins
—
—
Input price
— / M
— / M
Output price
— / M
— / M
Context window
—
—

Individual benchmarks

14 reported for DeepSeek VL2 Tiny · 16 for MiMo-V2.6-Flash

No common benchmarks found

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

306.0B diff

MiMo-V2.6-Flash has 306.0B more parameters than DeepSeek VL2 Tiny, making it 10200.0% larger.

DeepSeek
DeepSeek VL2 Tiny
3.0Bparameters
Xiaomi
MiMo-V2.6-Flash
309.0Bparameters
3.0B
DeepSeek VL2 Tiny
309.0B
MiMo-V2.6-Flash

Input capabilities

Documented input modalities across available providers

Both DeepSeek VL2 Tiny and MiMo-V2.6-Flash 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-Flash

Text
Images
Audio
Video

License

Usage and distribution terms

DeepSeek VL2 Tiny is licensed under deepseek, while MiMo-V2.6-Flash 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-Flash

MIT

Open weights

Release Timeline

When each model was launched

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

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

DeepSeek VL2 Tiny

Dec 13, 2024

1.8 years ago

MiMo-V2.6-Flash

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-Flash side-by-side, then vote on the output you prefer.

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

FAQ

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

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

MiMo-V2.6-Flash leads the LLM Stats Score 45.6 to -4.7. DeepSeek VL2 Tiny is made by DeepSeek and MiMo-V2.6-Flash 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-Flash in benchmarks?

DeepSeek VL2 Tiny scores DocVQA: 88.9%, ChartQA: 81.0%, OCRBench: 80.9%, TextVQA: 80.7%, AI2D: 71.6%. 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%.

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

Key differences include LLM Stats Score (-4.7 vs 45.6), licensing (deepseek vs MIT). See the full comparison above for benchmark-by-benchmark results.

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

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

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