The AI arena is free today

Open Superagent

DeepSeek-V4-Pro-0813 vs Gemma 4 E4B

DeepSeek-V4-Pro-0813 leads the LLM Stats Score 54.1 to 14.4.

DeepSeek · Google · Updated for 2026

Which is better?

DeepSeek-V4-Pro-0813 leads the overall LLM Stats Score 54.1 to 14.4, ranking #7 overall.

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

Choose DeepSeek-V4-Pro-0813

  • overall performance matters — it scores 54.1 and ranks #7 on LLM Stats
  • your work emphasizes reasoning and agents — it leads those capability indexes
  • you want the most recent training data — it shipped Aug 2026

Choose Gemma 4 E4B

  • you are already invested in the Google ecosystem

At a glance

The differences that matter most.

DeepSeek-V4-Pro-0813
DeepSeek
Gemma 4 E4B
Google
Core performance indexes
LLM Stats Score
54.1
#7
14.4
#218
Reasoning
51.5
#8
14.3
#213
Agents
40.4
#7
2.3
#147
Cost, coverage & limits
Benchmark wins
—
—
Input price
$0.43 / M
— / M
Output price
$0.87 / M
— / M
Context window
1,048,576
—

Capability indexes

Additional strengths measured across groups of related public benchmarks

1 shared
Index
DeepSeek-V4-Pro-0813
Gemma 4 E4B
Math
41.8#6
12.2#221
Conservative TrueSkill rating · higher is betterHow scores work

Individual benchmarks

12 reported for DeepSeek-V4-Pro-0813 · 11 for Gemma 4 E4B

No common benchmarks found

DeepSeek-V4-Pro-0813 and Gemma 4 E4Bdon'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

1592.0B diff

DeepSeek-V4-Pro-0813 has 1592.0B more parameters than Gemma 4 E4B, making it 19900.0% larger.

DeepSeek
DeepSeek-V4-Pro-0813
1.6Tparameters
Google
Gemma 4 E4B
8.0Bparameters
1600.0B
DeepSeek-V4-Pro-0813
8.0B
Gemma 4 E4B

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 4 E4B
Input- tokens
Output- tokens
Fri Aug 28 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

Gemma 4 E4B supports multimodal inputs, whereas DeepSeek-V4-Pro-0813 does not.

Gemma 4 E4B 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 4 E4B

Text
Images
Audio
Video

License

Usage and distribution terms

DeepSeek-V4-Pro-0813 is licensed under MIT, while Gemma 4 E4B uses Apache 2.0.

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

DeepSeek-V4-Pro-0813

MIT

Open weights

Gemma 4 E4B

Apache 2.0

Open weights

Release Timeline

When each model was launched

DeepSeek-V4-Pro-0813 was released on 2026-08-13, while Gemma 4 E4B was released on 2026-04-02.

DeepSeek-V4-Pro-0813 is 4 months newer than Gemma 4 E4B.

DeepSeek-V4-Pro-0813

Aug 13, 2026

2 weeks ago

4mo newer
Gemma 4 E4B

Apr 2, 2026

4 months ago

Knowledge Cutoff

When training data ends

Gemma 4 E4B has a documented knowledge cutoff of 2025-01-01, while DeepSeek-V4-Pro-0813's cutoff date is not specified.

We can confirm Gemma 4 E4B's training data extends to 2025-01-01, but cannot make a direct comparison without DeepSeek-V4-Pro-0813's cutoff date.

DeepSeek-V4-Pro-0813

—

Gemma 4 E4B

Jan 2025

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 4 E4B side-by-side, then vote on the output you prefer.

DeepSeek-V4-Pro-0813
✓ Preferred
Gemma 4 E4B
Open in Playground

FAQ

Common questions about DeepSeek-V4-Pro-0813 vs Gemma 4 E4B.

Which is better, DeepSeek-V4-Pro-0813 or Gemma 4 E4B?

DeepSeek-V4-Pro-0813 leads the LLM Stats Score 54.1 to 14.4. DeepSeek-V4-Pro-0813 is made by DeepSeek and Gemma 4 E4B 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-V4-Pro-0813 compare to Gemma 4 E4B 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 4 E4B scores MMMLU: 76.6%, MMLU-Pro: 69.4%, MathVision: 59.5%, GPQA: 58.6%, t2-bench: 57.5%.

What are the context window sizes for DeepSeek-V4-Pro-0813 and Gemma 4 E4B?

DeepSeek-V4-Pro-0813 supports 1.0M tokens and Gemma 4 E4B 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 4 E4B?

Key differences include LLM Stats Score (54.1 vs 14.4), multimodal support (no vs yes), licensing (MIT vs Apache 2.0). See the full comparison above for benchmark-by-benchmark results.

Who makes DeepSeek-V4-Pro-0813 and Gemma 4 E4B?

DeepSeek-V4-Pro-0813 is developed by DeepSeek and Gemma 4 E4B is developed by Google.

Related comparisons