Model Comparison

DeepSeek VL2 Tiny vs MiniMax M2Which is better in 2026?

Comparing DeepSeek VL2 Tiny and MiniMax M2 across benchmarks, pricing, and capabilities.

Verdict: DeepSeek VL2 Tiny vs MiniMax M2 — which is better?

DeepSeek VL2 Tiny (by DeepSeek) and MiniMax M2 (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 M2 if…

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

Comparative analysis across standard metrics

No common benchmarks found

DeepSeek VL2 Tiny and MiniMax M2don'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

227.0B diff

MiniMax M2 has 227.0B more parameters than DeepSeek VL2 Tiny, making it 7566.7% larger.

DeepSeek
DeepSeek VL2 Tiny
3.0Bparameters
MiniMax
MiniMax M2
230.0Bparameters
3.0B
DeepSeek VL2 Tiny
230.0B
MiniMax M2

Context Window

Maximum input and output token capacity

Only MiniMax M2 specifies input context (1,000,000 tokens). Only MiniMax M2 specifies output context (1,000,000 tokens).

DeepSeek
DeepSeek VL2 Tiny
Input- tokens
Output- tokens
MiniMax
MiniMax M2
Input1,000,000 tokens
Output1,000,000 tokens
Wed Jun 17 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

DeepSeek VL2 Tiny supports multimodal inputs, whereas MiniMax M2 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 M2

Text
Images
Audio
Video

License

Usage and distribution terms

DeepSeek VL2 Tiny is licensed under deepseek, while MiniMax M2 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 M2

MIT

Open weights

Release Timeline

When each model was launched

DeepSeek VL2 Tiny was released on 2024-12-13, while MiniMax M2 was released on 2025-10-27.

MiniMax M2 is 11 months newer than DeepSeek VL2 Tiny.

DeepSeek VL2 Tiny

Dec 13, 2024

1.5 years ago

MiniMax M2

Oct 27, 2025

7 months ago

10mo 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
Larger context window (1,000,000 tokens)

Detailed Comparison

AI Model Comparison Table
Feature
DeepSeek
DeepSeek VL2 Tiny
MiniMax
MiniMax M2

FAQ

Common questions about DeepSeek VL2 Tiny vs MiniMax M2.

Which is better, DeepSeek VL2 Tiny or MiniMax M2?

DeepSeek VL2 Tiny (DeepSeek) and MiniMax M2 (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 M2 in benchmarks?

DeepSeek VL2 Tiny scores DocVQA: 88.9%, ChartQA: 81.0%, OCRBench: 80.9%, TextVQA: 80.7%, AI2D: 71.6%. MiniMax M2 scores Tau2 Telecom: 87.0%, LiveCodeBench: 83.0%, MMLU-Pro: 82.0%, AIME 2025: 78.0%, GPQA: 78.0%.

What are the context window sizes for DeepSeek VL2 Tiny and MiniMax M2?

DeepSeek VL2 Tiny supports an unknown number of tokens and MiniMax M2 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 Tiny and MiniMax M2?

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 M2?

DeepSeek VL2 Tiny is developed by DeepSeek and MiniMax M2 is developed by MiniMax.

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