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DeepSeek VL2 Small vs Parse

Comparing DeepSeek VL2 Small and Parse across benchmarks, pricing, and capabilities.

DeepSeek · Cohere · Updated for 2026

Which is better?

DeepSeek VL2 Small and Parse trade strengths across price, capabilities, and technical limits. The better choice depends on the workload.

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

Choose DeepSeek VL2 Small

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

Choose Parse

  • you want the most recent training data — it shipped Aug 2026

At a glance

The differences that matter most.

DeepSeek VL2 Small
DeepSeek
Parse
Cohere
Benchmark wins
—
—
Input price
— / M
— / M
Output price
— / M
— / M
Context window
—
8,192

Individual benchmarks

14 reported for DeepSeek VL2 Small · 1 for Parse

No common benchmarks found

DeepSeek VL2 Small and Parsedon'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

13.7B diff

DeepSeek VL2 Small has 13.7B more parameters than Parse, making it 595.7% larger.

DeepSeek
DeepSeek VL2 Small
16.0Bparameters
Cohere
Parse
2.3Bparameters
16.0B
DeepSeek VL2 Small
2.3B
Parse

Context Window

Maximum input and output token capacity

Only Parse specifies input context (8,192 tokens).

DeepSeek
DeepSeek VL2 Small
Input- tokens
Output- tokens
Cohere
Parse
Input8,192 tokens
Output- tokens
Tue Sep 01 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

Both DeepSeek VL2 Small and Parse support multimodal inputs.

They are both capable of processing various types of data, offering versatility in application.

DeepSeek VL2 Small

Text
Images
Audio
Video

Parse

Text
Images
Audio
Video

License

Usage and distribution terms

DeepSeek VL2 Small is licensed under deepseek, while Parse uses a proprietary license.

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

DeepSeek VL2 Small

deepseek

Open weights

Parse

Proprietary

Closed source

Release Timeline

When each model was launched

DeepSeek VL2 Small was released on 2024-12-13, while Parse was released on 2026-08-27.

Parse is 21 months newer than DeepSeek VL2 Small.

DeepSeek VL2 Small

Dec 13, 2024

1.7 years ago

Parse

Aug 27, 2026

4 days ago

1.7yr 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→

Judge for yourself.

Run your own prompts against DeepSeek VL2 Small and Parse side-by-side, then vote on the output you prefer.

DeepSeek VL2 Small
✓ Preferred
Parse
Open in Playground

FAQ

Common questions about DeepSeek VL2 Small vs Parse.

Which is better, DeepSeek VL2 Small or Parse?

DeepSeek VL2 Small (DeepSeek) and Parse (Cohere) 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 Small compare to Parse in benchmarks?

DeepSeek VL2 Small scores DocVQA: 92.3%, ChartQA: 84.5%, OCRBench: 83.4%, TextVQA: 83.4%, MMBench: 80.3%. Parse scores ParseBench: 79.2%.

What are the context window sizes for DeepSeek VL2 Small and Parse?

DeepSeek VL2 Small supports an unknown number of tokens and Parse supports 8K 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 Small and Parse?

Key differences include licensing (deepseek vs Proprietary). See the full comparison above for benchmark-by-benchmark results.

Who makes DeepSeek VL2 Small and Parse?

DeepSeek VL2 Small is developed by DeepSeek and Parse is developed by Cohere.

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