Model Comparison

DeepSeek-V4-Pro-Max vs Gemma 4 E2BWhich is better in 2026?

DeepSeek-V4-Pro-Max significantly outperforms across most benchmarks.

Verdict: DeepSeek-V4-Pro-Max vs Gemma 4 E2B — which is better?

DeepSeek-V4-Pro-Max (by DeepSeek) and Gemma 4 E2B (by Google) are two of the AI models people compare most. Here is how they stack up on benchmarks, price and capabilities, and which one to pick in 2026.

DeepSeek-V4-Pro-Max outperforms in 2 benchmarks (GPQA, MMLU-Pro), while Gemma 4 E2B is better at 0 benchmarks. DeepSeek-V4-Pro-Max significantly outperforms across most benchmarks.

Choose DeepSeek-V4-Pro-Max if…

  • you want the strongest raw capability — it leads on 2 of 2 shared benchmarks
  • you want the most recent training data — it shipped Apr 2026

Choose Gemma 4 E2B if…

  • you are already invested in the Google ecosystem

Performance Benchmarks

Comparative analysis across standard metrics

2 benchmarks

DeepSeek-V4-Pro-Max outperforms in 2 benchmarks (GPQA, MMLU-Pro), while Gemma 4 E2B is better at 0 benchmarks.

DeepSeek-V4-Pro-Max significantly outperforms across most benchmarks.

Fri Jul 17 2026 • llm-stats.com

Arena Performance

Human preference votes

Model Size

Parameter count comparison

1594.9B diff

DeepSeek-V4-Pro-Max has 1594.9B more parameters than Gemma 4 E2B, making it 31272.5% larger.

DeepSeek
DeepSeek-V4-Pro-Max
1.6Tparameters
Google
Gemma 4 E2B
5.1Bparameters
1600.0B
DeepSeek-V4-Pro-Max
5.1B
Gemma 4 E2B

Context Window

Maximum input and output token capacity

Only DeepSeek-V4-Pro-Max specifies input context (1,048,576 tokens). Only DeepSeek-V4-Pro-Max specifies output context (131,072 tokens).

DeepSeek
DeepSeek-V4-Pro-Max
Input1,048,576 tokens
Output131,072 tokens
Google
Gemma 4 E2B
Input- tokens
Output- tokens
Fri Jul 17 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

Gemma 4 E2B supports multimodal inputs, whereas DeepSeek-V4-Pro-Max does not.

Gemma 4 E2B can handle both text and other forms of data like images, making it suitable for multimodal applications.

DeepSeek-V4-Pro-Max

Text
Images
Audio
Video

Gemma 4 E2B

Text
Images
Audio
Video

License

Usage and distribution terms

DeepSeek-V4-Pro-Max is licensed under MIT, while Gemma 4 E2B uses Apache 2.0.

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

DeepSeek-V4-Pro-Max

MIT

Open weights

Gemma 4 E2B

Apache 2.0

Open weights

Release Timeline

When each model was launched

DeepSeek-V4-Pro-Max was released on 2026-04-23, while Gemma 4 E2B was released on 2026-04-02.

DeepSeek-V4-Pro-Max is 1 month newer than Gemma 4 E2B.

DeepSeek-V4-Pro-Max

Apr 23, 2026

2 months ago

3w newer
Gemma 4 E2B

Apr 2, 2026

3 months ago

Knowledge Cutoff

When training data ends

Gemma 4 E2B has a documented knowledge cutoff of 2025-01-01, while DeepSeek-V4-Pro-Max's cutoff date is not specified.

We can confirm Gemma 4 E2B's training data extends to 2025-01-01, but cannot make a direct comparison without DeepSeek-V4-Pro-Max's cutoff date.

DeepSeek-V4-Pro-Max

—

Gemma 4 E2B

Jan 2025

Outputs Comparison

Notice missing or incorrect data?Start an Issue discussion→

Key Takeaways

DeepSeek
Larger context window (1,048,576 tokens)
Higher GPQA score (90.1% vs 43.4%)
Higher MMLU-Pro score (87.5% vs 60.0%)
Google
Supports multimodal inputs

Detailed Comparison

Interactive Arena

Judge for yourself.

Run your own prompts against DeepSeek-V4-Pro-Max and Gemma 4 E2B side-by-side, then vote on the output you prefer.

DeepSeek-V4-Pro-Max
✓ Preferred
Gemma 4 E2B
Open in Playground
AI Model Comparison Table
Feature
DeepSeek
DeepSeek-V4-Pro-Max
Google
Gemma 4 E2B

FAQ

Common questions about DeepSeek-V4-Pro-Max vs Gemma 4 E2B.

Which is better, DeepSeek-V4-Pro-Max or Gemma 4 E2B?

DeepSeek-V4-Pro-Max significantly outperforms across most benchmarks. DeepSeek-V4-Pro-Max is made by DeepSeek and Gemma 4 E2B is made by Google. The best choice depends on your use case — compare their benchmark scores, pricing, and capabilities above.

How does DeepSeek-V4-Pro-Max compare to Gemma 4 E2B in benchmarks?

DeepSeek-V4-Pro-Max scores CodeForces: 100.0%, HMMT Feb 26: 95.2%, LiveCodeBench: 93.5%, MathArena Apex: 90.2%, GPQA: 90.1%. Gemma 4 E2B scores MMMLU: 67.4%, MMLU-Pro: 60.0%, MathVision: 52.4%, MMMU-Pro: 44.2%, LiveCodeBench v6: 44.0%.

What are the context window sizes for DeepSeek-V4-Pro-Max and Gemma 4 E2B?

DeepSeek-V4-Pro-Max supports 1.0M tokens and Gemma 4 E2B 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-Max and Gemma 4 E2B?

Key differences include 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-Max and Gemma 4 E2B?

DeepSeek-V4-Pro-Max is developed by DeepSeek and Gemma 4 E2B is developed by Google.

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