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DeepSeek VL2 Tiny vs ERNIE 5.5 Flash Preview

ERNIE 5.5 Flash Preview leads the LLM Stats Score 52.3 to -5.3.

DeepSeek · Baidu · Updated for 2026

Which is better?

ERNIE 5.5 Flash Preview leads the overall LLM Stats Score 52.3 to -5.3, ranking #13 overall.

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 ERNIE 5.5 Flash Preview

  • overall performance matters — it scores 52.3 and ranks #13 on LLM Stats
  • your work emphasizes reasoning — it leads those capability indexes
  • you want the most recent training data — it shipped Nov 2026

At a glance

The differences that matter most.

Core performance indexes
-5.3
#400
52.3
#13
-13.2
#409
50.7
#12
Cost, coverage & limits
Benchmark wins
—
—
Input price
— / M
$0.28 / M
Output price
— / M
$1.13 / M
Context window
—
1,048,576

Individual benchmarks

14 reported for DeepSeek VL2 Tiny · 13 for ERNIE 5.5 Flash Preview

No common benchmarks found

DeepSeek VL2 Tiny and ERNIE 5.5 Flash Previewdon't have any common benchmark datasets to compare. They may have been evaluated on different testing suites.

Human preference

Blind head-to-head votes and playground preference scores

Model Size

Parameter count comparison

277.0B diff

ERNIE 5.5 Flash Preview has 277.0B more parameters than DeepSeek VL2 Tiny, making it 9233.3% larger.

DeepSeek
DeepSeek VL2 Tiny
3.0Bparameters
Baidu
ERNIE 5.5 Flash Preview
280.0Bparameters
3.0B
DeepSeek VL2 Tiny
280.0B
ERNIE 5.5 Flash Preview

Context Window

Maximum input and output token capacity

Only ERNIE 5.5 Flash Preview specifies input context (1,048,576 tokens). Only ERNIE 5.5 Flash Preview specifies output context (1,048,576 tokens).

DeepSeek
DeepSeek VL2 Tiny
Input- tokens
Output- tokens
Baidu
ERNIE 5.5 Flash Preview
Input1,048,576 tokens
Output1,048,576 tokens
Sat Nov 14 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

DeepSeek VL2 Tiny supports multimodal inputs, whereas ERNIE 5.5 Flash Preview 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

ERNIE 5.5 Flash Preview

Text
Images
Audio
Video

License

Usage and distribution terms

DeepSeek VL2 Tiny is licensed under deepseek, while ERNIE 5.5 Flash Preview 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

ERNIE 5.5 Flash Preview

Proprietary

Closed source

Release Timeline

When each model was launched

DeepSeek VL2 Tiny was released on 2024-12-13, while ERNIE 5.5 Flash Preview was released on 2026-11-11.

ERNIE 5.5 Flash Preview is 23 months newer than DeepSeek VL2 Tiny.

DeepSeek VL2 Tiny

Dec 13, 2024

1.9 years ago

ERNIE 5.5 Flash Preview

Nov 11, 2026

2 days ago

1.9yr 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?

Judge for yourself.

Run your own prompts against DeepSeek VL2 Tiny and ERNIE 5.5 Flash Preview side-by-side, then vote on the output you prefer.

DeepSeek VL2 Tiny
✓ Preferred
ERNIE 5.5 Flash Preview
Open in Playground

FAQ

Common questions about DeepSeek VL2 Tiny vs ERNIE 5.5 Flash Preview.

Which is better, DeepSeek VL2 Tiny or ERNIE 5.5 Flash Preview?

ERNIE 5.5 Flash Preview leads the LLM Stats Score 52.3 to -5.3. DeepSeek VL2 Tiny is made by DeepSeek and ERNIE 5.5 Flash Preview is made by Baidu. 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 ERNIE 5.5 Flash Preview in benchmarks?

DeepSeek VL2 Tiny scores DocVQA: 88.9%, ChartQA: 81.0%, OCRBench: 80.9%, TextVQA: 80.7%, AI2D: 71.6%. ERNIE 5.5 Flash Preview scores BrowseComp: 87.4%, DRACO: 84.9%, MCP Atlas: 84.6%, DeepSWE 1.1: 71.2%, OfficeQA Pro: 67.9%.

What are the context window sizes for DeepSeek VL2 Tiny and ERNIE 5.5 Flash Preview?

DeepSeek VL2 Tiny supports an unknown number of tokens and ERNIE 5.5 Flash Preview 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 ERNIE 5.5 Flash Preview?

Key differences include LLM Stats Score (-5.3 vs 52.3), multimodal support (yes vs no), licensing (deepseek vs Proprietary). See the full comparison above for benchmark-by-benchmark results.

Who makes DeepSeek VL2 Tiny and ERNIE 5.5 Flash Preview?

DeepSeek VL2 Tiny is developed by DeepSeek and ERNIE 5.5 Flash Preview is developed by Baidu.