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DeepSeek VL2 Small vs MiMo-V2.6-Flash

MiMo-V2.6-Flash leads the LLM Stats Score 45.6 to 1.2.

DeepSeek · Xiaomi · Updated for 2026

Which is better?

MiMo-V2.6-Flash leads the overall LLM Stats Score 45.6 to 1.2, ranking #29 overall.

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

Choose DeepSeek VL2 Small

  • 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 Small
DeepSeek
MiMo-V2.6-Flash
Xiaomi
Core performance indexes
LLM Stats Score
1.2
#324
45.6
#29
Reasoning
-4.0
#342
42.5
#45
Cost, coverage & limits
Benchmark wins
—
—
Input price
— / M
$0.14 / M
Output price
— / M
$0.28 / M
Context window
—
1,048,576

Individual benchmarks

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

No common benchmarks found

DeepSeek VL2 Small 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

293.0B diff

MiMo-V2.6-Flash has 293.0B more parameters than DeepSeek VL2 Small, making it 1831.3% larger.

DeepSeek
DeepSeek VL2 Small
16.0Bparameters
Xiaomi
MiMo-V2.6-Flash
309.0Bparameters
16.0B
DeepSeek VL2 Small
309.0B
MiMo-V2.6-Flash

Context Window

Maximum input and output token capacity

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

DeepSeek
DeepSeek VL2 Small
Input- tokens
Output- tokens
Xiaomi
MiMo-V2.6-Flash
Input1,048,576 tokens
Output- tokens
Tue Sep 22 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

Both DeepSeek VL2 Small and MiMo-V2.6-Flash support multimodal inputs.

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

DeepSeek VL2 Small

Text
Images
Audio
Video

MiMo-V2.6-Flash

Text
Images
Audio
Video

License

Usage and distribution terms

DeepSeek VL2 Small 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 Small

deepseek

Open weights

MiMo-V2.6-Flash

MIT

Open weights

Release Timeline

When each model was launched

DeepSeek VL2 Small 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 Small.

DeepSeek VL2 Small

Dec 13, 2024

1.8 years ago

MiMo-V2.6-Flash

Sep 22, 2026

0 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 Small and MiMo-V2.6-Flash side-by-side, then vote on the output you prefer.

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

FAQ

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

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

MiMo-V2.6-Flash leads the LLM Stats Score 45.6 to 1.2. DeepSeek VL2 Small 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 Small compare to MiMo-V2.6-Flash in benchmarks?

DeepSeek VL2 Small scores DocVQA: 92.3%, ChartQA: 84.5%, OCRBench: 83.4%, TextVQA: 83.4%, MMBench: 80.3%. 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 context window sizes for DeepSeek VL2 Small and MiMo-V2.6-Flash?

DeepSeek VL2 Small supports an unknown number of tokens and MiMo-V2.6-Flash supports 1.0M tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.

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

Key differences include LLM Stats Score (1.2 vs 45.6), licensing (deepseek vs MIT). See the full comparison above for benchmark-by-benchmark results.

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

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

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