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DeepSeek VL2 Tiny vs Gemini 2.0 Flash

Gemini 2.0 Flash leads the LLM Stats Score 16.6 to -4.5.

DeepSeek · Google · Updated for 2026

Which is better?

Gemini 2.0 Flash leads the overall LLM Stats Score 16.6 to -4.5, ranking #209 overall.

In the 1 individual benchmarks reported for both models, Gemini 2.0 Flash 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 want the most recent training data — it shipped Dec 2024
  • you need open weights you can self-host or fine-tune

Choose Gemini 2.0 Flash

  • overall performance matters — it scores 16.6 and ranks #209 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

At a glance

The differences that matter most.

DeepSeek VL2 Tiny
DeepSeek
Gemini 2.0 Flash
Google
Core performance indexes
LLM Stats Score
-4.5
#340
16.6
#209
Reasoning
-12.4
#349
16.0
#208
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 2.0 Flash
Vision
-4.6#196
8.3#133
Multimodal
-2.5#157
14.0#94
Conservative TrueSkill rating · higher is betterHow scores work

Individual benchmarks

14 reported for DeepSeek VL2 Tiny · 13 for Gemini 2.0 Flash

1 shared

DeepSeek VL2 Tiny outperforms in 0 benchmarks, while Gemini 2.0 Flash is better at 1 benchmark (MMMU).

Gemini 2.0 Flash 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 2.0 Flash specifies input context (1,048,576 tokens). Only Gemini 2.0 Flash specifies output context (8,192 tokens).

DeepSeek
DeepSeek VL2 Tiny
Input- tokens
Output- tokens
Google
Gemini 2.0 Flash
Input1,048,576 tokens
Output8,192 tokens
Fri Sep 04 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

Both DeepSeek VL2 Tiny and Gemini 2.0 Flash 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 2.0 Flash

Text
Images
Audio
Video

License

Usage and distribution terms

DeepSeek VL2 Tiny is licensed under deepseek, while Gemini 2.0 Flash 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 2.0 Flash

Proprietary

Closed source

Release Timeline

When each model was launched

DeepSeek VL2 Tiny was released on 2024-12-13, while Gemini 2.0 Flash was released on 2024-12-01.

DeepSeek VL2 Tiny is 0 month newer than Gemini 2.0 Flash.

DeepSeek VL2 Tiny

Dec 13, 2024

1.7 years ago

1w newer
Gemini 2.0 Flash

Dec 1, 2024

1.8 years ago

Knowledge Cutoff

When training data ends

Gemini 2.0 Flash has a documented knowledge cutoff of 2024-08-01, while DeepSeek VL2 Tiny's cutoff date is not specified.

We can confirm Gemini 2.0 Flash's training data extends to 2024-08-01, but cannot make a direct comparison without DeepSeek VL2 Tiny's cutoff date.

DeepSeek VL2 Tiny

—

Gemini 2.0 Flash

Aug 2024

Outputs Comparison

Notice missing or incorrect data?Start an Issue discussion→

Judge for yourself.

Run your own prompts against DeepSeek VL2 Tiny and Gemini 2.0 Flash side-by-side, then vote on the output you prefer.

DeepSeek VL2 Tiny
✓ Preferred
Gemini 2.0 Flash
Open in Playground

FAQ

Common questions about DeepSeek VL2 Tiny vs Gemini 2.0 Flash.

Which is better, DeepSeek VL2 Tiny or Gemini 2.0 Flash?

Gemini 2.0 Flash leads the LLM Stats Score 16.6 to -4.5. DeepSeek VL2 Tiny is made by DeepSeek and Gemini 2.0 Flash 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 2.0 Flash in benchmarks?

DeepSeek VL2 Tiny scores DocVQA: 88.9%, ChartQA: 81.0%, OCRBench: 80.9%, TextVQA: 80.7%, AI2D: 71.6%. Gemini 2.0 Flash scores Natural2Code: 92.9%, MATH: 89.7%, FACTS Grounding: 83.6%, MMLU-Pro: 76.4%, EgoSchema: 71.5%.

What are the context window sizes for DeepSeek VL2 Tiny and Gemini 2.0 Flash?

DeepSeek VL2 Tiny supports an unknown number of tokens and Gemini 2.0 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 Tiny and Gemini 2.0 Flash?

Key differences include LLM Stats Score (-4.5 vs 16.6), licensing (deepseek vs Proprietary). See the full comparison above for benchmark-by-benchmark results.

Who makes DeepSeek VL2 Tiny and Gemini 2.0 Flash?

DeepSeek VL2 Tiny is developed by DeepSeek and Gemini 2.0 Flash is developed by Google.

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