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DeepSeek VL2 Tiny vs Gemini 2.5 Pro

Gemini 2.5 Pro leads the LLM Stats Score 27.8 to -4.5.

DeepSeek · Google · Updated for 2026

Which is better?

Gemini 2.5 Pro leads the overall LLM Stats Score 27.8 to -4.5, ranking #129 overall.

In the 1 individual benchmarks reported for both models, Gemini 2.5 Pro wins 1; this is a narrower head-to-head signal than the composite indexes.

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

Choose DeepSeek VL2 Tiny

  • you need open weights you can self-host or fine-tune

Choose Gemini 2.5 Pro

  • overall performance matters — it scores 27.8 and ranks #129 on LLM Stats
  • your work emphasizes reasoning — it leads those capability indexes
  • you value its reported benchmark strengths — it wins 1 of 1 exact shared results
  • you want the most recent training data — it shipped May 2025

At a glance

The differences that matter most.

Core performance indexes
-4.5
#340
27.8
#129
-12.4
#349
27.2
#130
Cost, coverage & limits
Benchmark wins
0 of 1
1 of 1
Input price
— / M
$1.25 / M
Output price
— / M
$10.00 / M
Context window
1,048,576

Capability indexes

Additional strengths measured across groups of related public benchmarks

2 shared
Index
DeepSeek VL2 Tiny
Gemini 2.5 Pro
-4.6#196
15.7#85
-2.5#157
22.8#55
Conservative TrueSkill rating · higher is betterHow scores work

Individual benchmarks

14 reported for DeepSeek VL2 Tiny · 16 for Gemini 2.5 Pro

1 shared

DeepSeek VL2 Tiny outperforms in 0 benchmarks, while Gemini 2.5 Pro is better at 1 benchmark (MMMU).

Gemini 2.5 Pro significantly outperforms across most benchmarks.

Fri Sep 04 2026 • llm-stats.com

Human preference

Blind head-to-head votes and playground preference scores

Context Window

Maximum input and output token capacity

Only Gemini 2.5 Pro specifies input context (1,048,576 tokens). Only Gemini 2.5 Pro specifies output context (65,536 tokens).

DeepSeek
DeepSeek VL2 Tiny
Input- tokens
Output- tokens
Google
Gemini 2.5 Pro
Input1,048,576 tokens
Output65,536 tokens
Fri Sep 04 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

Both DeepSeek VL2 Tiny and Gemini 2.5 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

Gemini 2.5 Pro

Text
Images
Audio
Video

License

Usage and distribution terms

DeepSeek VL2 Tiny is licensed under deepseek, while Gemini 2.5 Pro uses a proprietary license.

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

DeepSeek VL2 Tiny

deepseek

Open weights

Gemini 2.5 Pro

Proprietary

Closed source

Release Timeline

When each model was launched

DeepSeek VL2 Tiny was released on 2024-12-13, while Gemini 2.5 Pro was released on 2025-05-20.

Gemini 2.5 Pro is 5 months newer than DeepSeek VL2 Tiny.

DeepSeek VL2 Tiny

Dec 13, 2024

1.7 years ago

Gemini 2.5 Pro

May 20, 2025

1.3 years ago

5mo newer

Knowledge Cutoff

When training data ends

Gemini 2.5 Pro has a documented knowledge cutoff of 2025-01-31, while DeepSeek VL2 Tiny's cutoff date is not specified.

We can confirm Gemini 2.5 Pro's training data extends to 2025-01-31, but cannot make a direct comparison without DeepSeek VL2 Tiny's cutoff date.

DeepSeek VL2 Tiny

Gemini 2.5 Pro

Jan 2025

Outputs Comparison

Notice missing or incorrect data?Start an Issue discussion

Judge for yourself.

Run your own prompts against DeepSeek VL2 Tiny and Gemini 2.5 Pro side-by-side, then vote on the output you prefer.

DeepSeek VL2 Tiny
✓ Preferred
Gemini 2.5 Pro
Open in Playground

FAQ

Common questions about DeepSeek VL2 Tiny vs Gemini 2.5 Pro.

Which is better, DeepSeek VL2 Tiny or Gemini 2.5 Pro?

Gemini 2.5 Pro leads the LLM Stats Score 27.8 to -4.5. DeepSeek VL2 Tiny is made by DeepSeek and Gemini 2.5 Pro is made by Google. 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 Gemini 2.5 Pro in benchmarks?

DeepSeek VL2 Tiny scores DocVQA: 88.9%, ChartQA: 81.0%, OCRBench: 80.9%, TextVQA: 80.7%, AI2D: 71.6%. Gemini 2.5 Pro scores MRCR: 93.0%, AIME 2024: 92.0%, Global-MMLU-Lite: 88.6%, Video-MME: 84.8%, AIME 2025: 83.0%.

What are the context window sizes for DeepSeek VL2 Tiny and Gemini 2.5 Pro?

DeepSeek VL2 Tiny supports an unknown number of tokens and Gemini 2.5 Pro 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 Gemini 2.5 Pro?

Key differences include LLM Stats Score (-4.5 vs 27.8), licensing (deepseek vs Proprietary). See the full comparison above for benchmark-by-benchmark results.

Who makes DeepSeek VL2 Tiny and Gemini 2.5 Pro?

DeepSeek VL2 Tiny is developed by DeepSeek and Gemini 2.5 Pro is developed by Google.