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DeepSeek VL2 Tiny vs Gemini 2.5 Flash-Lite

Gemini 2.5 Flash-Lite leads the LLM Stats Score 10.4 to -4.7.

DeepSeek · Google · Updated for 2026

Which is better?

Gemini 2.5 Flash-Lite leads the overall LLM Stats Score 10.4 to -4.7, ranking #264 overall.

In the 1 individual benchmarks reported for both models, Gemini 2.5 Flash-Lite 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 are already invested in the DeepSeek ecosystem

Choose Gemini 2.5 Flash-Lite

  • overall performance matters — it scores 10.4 and ranks #264 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 Jun 2025

At a glance

The differences that matter most.

DeepSeek VL2 Tiny
DeepSeek
Gemini 2.5 Flash-Lite
Google
Core performance indexes
LLM Stats Score
-4.7
#351
10.4
#264
Reasoning
-12.7
#362
10.9
#258
Cost, coverage & limits
Benchmark wins
0 of 1
1 of 1
Input price
— / M
$0.10 / M
Output price
— / M
$0.40 / 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 Flash-Lite
Vision
-5.1#200
3.5#162
Multimodal
-3.0#161
11.6#110
Conservative TrueSkill rating · higher is betterHow scores work

Individual benchmarks

14 reported for DeepSeek VL2 Tiny · 13 for Gemini 2.5 Flash-Lite

1 shared

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

Gemini 2.5 Flash-Lite significantly outperforms across most benchmarks.

Mon Sep 21 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 Flash-Lite specifies input context (1,048,576 tokens). Only Gemini 2.5 Flash-Lite specifies output context (65,536 tokens).

DeepSeek
DeepSeek VL2 Tiny
Input- tokens
Output- tokens
Google
Gemini 2.5 Flash-Lite
Input1,048,576 tokens
Output65,536 tokens
Mon Sep 21 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

Both DeepSeek VL2 Tiny and Gemini 2.5 Flash-Lite 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 Flash-Lite

Text
Images
Audio
Video

License

Usage and distribution terms

DeepSeek VL2 Tiny is licensed under deepseek, while Gemini 2.5 Flash-Lite uses Creative Commons Attribution 4.0 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 Flash-Lite

Creative Commons Attribution 4.0 License

Open weights

Release Timeline

When each model was launched

DeepSeek VL2 Tiny was released on 2024-12-13, while Gemini 2.5 Flash-Lite was released on 2025-06-17.

Gemini 2.5 Flash-Lite is 6 months newer than DeepSeek VL2 Tiny.

DeepSeek VL2 Tiny

Dec 13, 2024

1.8 years ago

Gemini 2.5 Flash-Lite

Jun 17, 2025

1.3 years ago

6mo newer

Knowledge Cutoff

When training data ends

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

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

DeepSeek VL2 Tiny

—

Gemini 2.5 Flash-Lite

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

DeepSeek VL2 Tiny
✓ Preferred
Gemini 2.5 Flash-Lite
Open in Playground

FAQ

Common questions about DeepSeek VL2 Tiny vs Gemini 2.5 Flash-Lite.

Which is better, DeepSeek VL2 Tiny or Gemini 2.5 Flash-Lite?

Gemini 2.5 Flash-Lite leads the LLM Stats Score 10.4 to -4.7. DeepSeek VL2 Tiny is made by DeepSeek and Gemini 2.5 Flash-Lite 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 Flash-Lite in benchmarks?

DeepSeek VL2 Tiny scores DocVQA: 88.9%, ChartQA: 81.0%, OCRBench: 80.9%, TextVQA: 80.7%, AI2D: 71.6%. Gemini 2.5 Flash-Lite scores FACTS Grounding: 84.1%, Global-MMLU-Lite: 81.1%, MMMU: 72.9%, GPQA: 64.6%, Vibe-Eval: 51.3%.

What are the context window sizes for DeepSeek VL2 Tiny and Gemini 2.5 Flash-Lite?

DeepSeek VL2 Tiny supports an unknown number of tokens and Gemini 2.5 Flash-Lite 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 Flash-Lite?

Key differences include LLM Stats Score (-4.7 vs 10.4), licensing (deepseek vs Creative Commons Attribution 4.0 License). See the full comparison above for benchmark-by-benchmark results.

Who makes DeepSeek VL2 Tiny and Gemini 2.5 Flash-Lite?

DeepSeek VL2 Tiny is developed by DeepSeek and Gemini 2.5 Flash-Lite is developed by Google.

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