Model Comparison

DeepSeek-V4-Pro-Max vs DiffusionGemma 26B-A4BWhich is better in 2026?

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

Verdict: DeepSeek-V4-Pro-Max vs DiffusionGemma 26B-A4B — which is better?

DeepSeek-V4-Pro-Max (by DeepSeek) and DiffusionGemma 26B-A4B (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 4 benchmarks (CodeForces, GPQA, Humanity's Last Exam, MMLU-Pro), while DiffusionGemma 26B-A4B 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 4 of 4 shared benchmarks

Choose DiffusionGemma 26B-A4B if…

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

Performance Benchmarks

Comparative analysis across standard metrics

4 benchmarks

DeepSeek-V4-Pro-Max outperforms in 4 benchmarks (CodeForces, GPQA, Humanity's Last Exam, MMLU-Pro), while DiffusionGemma 26B-A4B 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

1574.8B diff

DeepSeek-V4-Pro-Max has 1574.8B more parameters than DiffusionGemma 26B-A4B, making it 6249.2% larger.

DeepSeek
DeepSeek-V4-Pro-Max
1.6Tparameters
Google
DiffusionGemma 26B-A4B
25.2Bparameters
1600.0B
DeepSeek-V4-Pro-Max
25.2B
DiffusionGemma 26B-A4B

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
DiffusionGemma 26B-A4B
Input- tokens
Output- tokens
Fri Jul 17 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

DiffusionGemma 26B-A4B supports multimodal inputs, whereas DeepSeek-V4-Pro-Max does not.

DiffusionGemma 26B-A4B 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

DiffusionGemma 26B-A4B

Text
Images
Audio
Video

License

Usage and distribution terms

DeepSeek-V4-Pro-Max is licensed under MIT, while DiffusionGemma 26B-A4B 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

DiffusionGemma 26B-A4B

Apache 2.0

Open weights

Release Timeline

When each model was launched

DeepSeek-V4-Pro-Max was released on 2026-04-23, while DiffusionGemma 26B-A4B was released on 2026-06-10.

DiffusionGemma 26B-A4B is 2 months newer than DeepSeek-V4-Pro-Max.

DeepSeek-V4-Pro-Max

Apr 23, 2026

2 months ago

DiffusionGemma 26B-A4B

Jun 10, 2026

1 months ago

1mo newer

Knowledge Cutoff

When training data ends

DiffusionGemma 26B-A4B has a documented knowledge cutoff of 2025-01-01, while DeepSeek-V4-Pro-Max's cutoff date is not specified.

We can confirm DiffusionGemma 26B-A4B'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

—

DiffusionGemma 26B-A4B

Jan 2025

Outputs Comparison

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Key Takeaways

DeepSeek
Larger context window (1,048,576 tokens)
Higher CodeForces score (100.0% vs 47.6%)
Higher GPQA score (90.1% vs 73.2%)
Higher Humanity's Last Exam score (48.2% vs 11.9%)
Higher MMLU-Pro score (87.5% vs 77.6%)
Google
Supports multimodal inputs

Detailed Comparison

Interactive Arena

Judge for yourself.

Run your own prompts against DeepSeek-V4-Pro-Max and DiffusionGemma 26B-A4B side-by-side, then vote on the output you prefer.

DeepSeek-V4-Pro-Max
✓ Preferred
DiffusionGemma 26B-A4B
Open in Playground
AI Model Comparison Table
Feature
DeepSeek
DeepSeek-V4-Pro-Max
Google
DiffusionGemma 26B-A4B

FAQ

Common questions about DeepSeek-V4-Pro-Max vs DiffusionGemma 26B-A4B.

Which is better, DeepSeek-V4-Pro-Max or DiffusionGemma 26B-A4B?

DeepSeek-V4-Pro-Max significantly outperforms across most benchmarks. DeepSeek-V4-Pro-Max is made by DeepSeek and DiffusionGemma 26B-A4B 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 DiffusionGemma 26B-A4B 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%. DiffusionGemma 26B-A4B scores MMMLU: 81.5%, MMLU-Pro: 77.6%, GPQA: 73.2%, MathVision: 70.5%, AIME 2026: 69.1%.

What are the context window sizes for DeepSeek-V4-Pro-Max and DiffusionGemma 26B-A4B?

DeepSeek-V4-Pro-Max supports 1.0M tokens and DiffusionGemma 26B-A4B 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 DiffusionGemma 26B-A4B?

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 DiffusionGemma 26B-A4B?

DeepSeek-V4-Pro-Max is developed by DeepSeek and DiffusionGemma 26B-A4B is developed by Google.

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