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DeepSeek-V4-Pro-0813 vs Gemma 3n E2B Instructed LiteRT (Preview)

Comparing DeepSeek-V4-Pro-0813 and Gemma 3n E2B Instructed LiteRT (Preview) across benchmarks, pricing, and capabilities.

DeepSeek · Google · Updated for 2026

Which is better?

DeepSeek-V4-Pro-0813 and Gemma 3n E2B Instructed LiteRT (Preview) trade strengths across price, capabilities, and technical limits. The better choice depends on the workload.

Based on current benchmark, pricing, and model metadata for 2026.

Choose DeepSeek-V4-Pro-0813

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

Choose Gemma 3n E2B Instructed LiteRT (Preview)

  • you are already invested in the Google ecosystem

At a glance

The differences that matter most.

DeepSeek-V4-Pro-0813
DeepSeek
Gemma 3n E2B Instructed LiteRT (Preview)
Google
Benchmark wins
—
—
Input price
$0.43 / M
— / M
Output price
$0.87 / M
— / M
Context window
1,048,576
—
Released
Aug 2026
May 2025
License
MIT
Gemma

Performance Benchmarks

Comparative analysis across standard metrics

No common benchmarks found

DeepSeek-V4-Pro-0813 and Gemma 3n E2B Instructed LiteRT (Preview)don't have any common benchmark datasets to compare. They may have been evaluated on different testing suites.

Arena Performance

Playground indexes and blind preference scores

Model Size

Parameter count comparison

1598.1B diff

DeepSeek-V4-Pro-0813 has 1598.1B more parameters than Gemma 3n E2B Instructed LiteRT (Preview), making it 83669.6% larger.

DeepSeek
DeepSeek-V4-Pro-0813
1.6Tparameters
Google
Gemma 3n E2B Instructed LiteRT (Preview)
1.9Bparameters
1600.0B
DeepSeek-V4-Pro-0813
1.9B
Gemma 3n E2B Instructed LiteRT (Preview)

Context Window

Maximum input and output token capacity

Only DeepSeek-V4-Pro-0813 specifies input context (1,048,576 tokens). Only DeepSeek-V4-Pro-0813 specifies output context (393,216 tokens).

DeepSeek
DeepSeek-V4-Pro-0813
Input1,048,576 tokens
Output393,216 tokens
Google
Gemma 3n E2B Instructed LiteRT (Preview)
Input- tokens
Output- tokens
Tue Aug 25 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

Gemma 3n E2B Instructed LiteRT (Preview) supports multimodal inputs, whereas DeepSeek-V4-Pro-0813 does not.

Gemma 3n E2B Instructed LiteRT (Preview) can handle both text and other forms of data like images, making it suitable for multimodal applications.

DeepSeek-V4-Pro-0813

Text
Images
Audio
Video

Gemma 3n E2B Instructed LiteRT (Preview)

Text
Images
Audio
Video

License

Usage and distribution terms

DeepSeek-V4-Pro-0813 is licensed under MIT, while Gemma 3n E2B Instructed LiteRT (Preview) uses Gemma.

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

DeepSeek-V4-Pro-0813

MIT

Open weights

Gemma 3n E2B Instructed LiteRT (Preview)

Gemma

Open weights

Release Timeline

When each model was launched

DeepSeek-V4-Pro-0813 was released on 2026-08-13, while Gemma 3n E2B Instructed LiteRT (Preview) was released on 2025-05-20.

DeepSeek-V4-Pro-0813 is 15 months newer than Gemma 3n E2B Instructed LiteRT (Preview).

DeepSeek-V4-Pro-0813

Aug 13, 2026

1 weeks ago

1.2yr newer
Gemma 3n E2B Instructed LiteRT (Preview)

May 20, 2025

1.3 years ago

Knowledge Cutoff

When training data ends

Gemma 3n E2B Instructed LiteRT (Preview) has a documented knowledge cutoff of 2024-06-01, while DeepSeek-V4-Pro-0813's cutoff date is not specified.

We can confirm Gemma 3n E2B Instructed LiteRT (Preview)'s training data extends to 2024-06-01, but cannot make a direct comparison without DeepSeek-V4-Pro-0813's cutoff date.

DeepSeek-V4-Pro-0813

—

Gemma 3n E2B Instructed LiteRT (Preview)

Jun 2024

Outputs Comparison

Notice missing or incorrect data?Start an Issue discussion→

Judge for yourself.

Run your own prompts against DeepSeek-V4-Pro-0813 and Gemma 3n E2B Instructed LiteRT (Preview) side-by-side, then vote on the output you prefer.

DeepSeek-V4-Pro-0813
✓ Preferred
Gemma 3n E2B Instructed LiteRT (Preview)
Open in Playground

FAQ

Common questions about DeepSeek-V4-Pro-0813 vs Gemma 3n E2B Instructed LiteRT (Preview).

Which is better, DeepSeek-V4-Pro-0813 or Gemma 3n E2B Instructed LiteRT (Preview)?

DeepSeek-V4-Pro-0813 (DeepSeek) and Gemma 3n E2B Instructed LiteRT (Preview) (Google) 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-V4-Pro-0813 compare to Gemma 3n E2B Instructed LiteRT (Preview) in benchmarks?

DeepSeek-V4-Pro-0813 scores Terminal-Bench 2.1: 87.9%, CyberGym: 83.3%, Toolathlon: 74.1%, DSBench-FullStack: 71.1%, DSBench-Hard: 67.2%. Gemma 3n E2B Instructed LiteRT (Preview) scores PIQA: 78.9%, BoolQ: 76.4%, ARC-E: 75.8%, HellaSwag: 72.2%, Winogrande: 66.8%.

What are the context window sizes for DeepSeek-V4-Pro-0813 and Gemma 3n E2B Instructed LiteRT (Preview)?

DeepSeek-V4-Pro-0813 supports 1.0M tokens and Gemma 3n E2B Instructed LiteRT (Preview) supports an unknown number of tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.

What are the main differences between DeepSeek-V4-Pro-0813 and Gemma 3n E2B Instructed LiteRT (Preview)?

Key differences include multimodal support (no vs yes), licensing (MIT vs Gemma). See the full comparison above for benchmark-by-benchmark results.

Who makes DeepSeek-V4-Pro-0813 and Gemma 3n E2B Instructed LiteRT (Preview)?

DeepSeek-V4-Pro-0813 is developed by DeepSeek and Gemma 3n E2B Instructed LiteRT (Preview) is developed by Google.

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