Model Comparison

DeepSeek VL2 Tiny vs MiniMax M1 40KWhich is better in 2026?

Comparing DeepSeek VL2 Tiny and MiniMax M1 40K across benchmarks, pricing, and capabilities.

Verdict: DeepSeek VL2 Tiny vs MiniMax M1 40K — which is better?

DeepSeek VL2 Tiny (by DeepSeek) and MiniMax M1 40K (by MiniMax) are two of the AI models people compare most. Here is how they stack up on benchmarks, price and capabilities, and which one to pick in 2026.

Choose DeepSeek VL2 Tiny if…

  • you are already invested in the DeepSeek ecosystem

Choose MiniMax M1 40K if…

  • you want the most recent training data — it shipped Jun 2025
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Performance Benchmarks

Comparative analysis across standard metrics

No common benchmarks found

DeepSeek VL2 Tiny and MiniMax M1 40Kdon't have any common benchmark datasets to compare. They may have been evaluated on different testing suites.

Arena Performance

Human preference votes

Model Size

Parameter count comparison

453.0B diff

MiniMax M1 40K has 453.0B more parameters than DeepSeek VL2 Tiny, making it 15100.0% larger.

DeepSeek
DeepSeek VL2 Tiny
3.0Bparameters
MiniMax
MiniMax M1 40K
456.0Bparameters
3.0B
DeepSeek VL2 Tiny
456.0B
MiniMax M1 40K

Input Capabilities

Supported data types and modalities

DeepSeek VL2 Tiny supports multimodal inputs, whereas MiniMax M1 40K does not.

DeepSeek VL2 Tiny can handle both text and other forms of data like images, making it suitable for multimodal applications.

DeepSeek VL2 Tiny

Text
Images
Audio
Video

MiniMax M1 40K

Text
Images
Audio
Video

License

Usage and distribution terms

DeepSeek VL2 Tiny is licensed under deepseek, while MiniMax M1 40K uses MIT.

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

DeepSeek VL2 Tiny

deepseek

Open weights

MiniMax M1 40K

MIT

Open weights

Release Timeline

When each model was launched

DeepSeek VL2 Tiny was released on 2024-12-13, while MiniMax M1 40K was released on 2025-06-16.

MiniMax M1 40K is 6 months newer than DeepSeek VL2 Tiny.

DeepSeek VL2 Tiny

Dec 13, 2024

1.5 years ago

MiniMax M1 40K

Jun 16, 2025

1.0 years ago

6mo 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→

Key Takeaways

DeepSeek
Supports multimodal inputs
MiniMax

No standout differentiators in the data we have for this pair.

Detailed Comparison

AI Model Comparison Table
Feature
DeepSeek
DeepSeek VL2 Tiny
MiniMax
MiniMax M1 40K

FAQ

Common questions about DeepSeek VL2 Tiny vs MiniMax M1 40K.

Which is better, DeepSeek VL2 Tiny or MiniMax M1 40K?

DeepSeek VL2 Tiny (DeepSeek) and MiniMax M1 40K (MiniMax) each have strengths in different areas. Compare their benchmark scores, pricing, context windows, and capabilities above to determine which fits your needs.

How does DeepSeek VL2 Tiny compare to MiniMax M1 40K in benchmarks?

DeepSeek VL2 Tiny scores DocVQA: 88.9%, ChartQA: 81.0%, OCRBench: 80.9%, TextVQA: 80.7%, AI2D: 71.6%. MiniMax M1 40K scores MATH-500: 96.0%, AIME 2024: 83.3%, MMLU-Pro: 80.6%, ZebraLogic: 80.1%, OpenAI-MRCR: 2 needle 128k: 76.1%.

What are the main differences between DeepSeek VL2 Tiny and MiniMax M1 40K?

Key differences include multimodal support (yes vs no), licensing (deepseek vs MIT). See the full comparison above for benchmark-by-benchmark results.

Who makes DeepSeek VL2 Tiny and MiniMax M1 40K?

DeepSeek VL2 Tiny is developed by DeepSeek and MiniMax M1 40K is developed by MiniMax.

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