Model Comparison

DeepSeek-V4-Pro-Max vs ERNIE 5.0Which is better in 2026?

DeepSeek-V4-Pro-Max shows notably better performance in the majority of benchmarks.

Verdict: DeepSeek-V4-Pro-Max vs ERNIE 5.0 — which is better?

DeepSeek-V4-Pro-Max (by DeepSeek) and ERNIE 5.0 (by Baidu) 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 3 benchmarks (GPQA, Humanity's Last Exam, MMLU-Pro), while ERNIE 5.0 is better at 1 benchmark (SimpleQA). DeepSeek-V4-Pro-Max shows notably better performance in the majority of benchmarks.

Choose DeepSeek-V4-Pro-Max if…

  • you want the strongest raw capability — it leads on 3 of 4 shared benchmarks
  • you want the most recent training data — it shipped Apr 2026
  • you need open weights you can self-host or fine-tune

Choose ERNIE 5.0 if…

  • you are already invested in the Baidu ecosystem

Performance Benchmarks

Comparative analysis across standard metrics

4 benchmarks

DeepSeek-V4-Pro-Max outperforms in 3 benchmarks (GPQA, Humanity's Last Exam, MMLU-Pro), while ERNIE 5.0 is better at 1 benchmark (SimpleQA).

DeepSeek-V4-Pro-Max shows notably better performance in the majority of benchmarks.

Fri Jul 24 2026 • llm-stats.com

Arena Performance

Human preference votes

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
Baidu
ERNIE 5.0
Input- tokens
Output- tokens
Fri Jul 24 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

ERNIE 5.0 supports multimodal inputs, whereas DeepSeek-V4-Pro-Max does not.

ERNIE 5.0 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

ERNIE 5.0

Text
Images
Audio
Video

License

Usage and distribution terms

DeepSeek-V4-Pro-Max is licensed under MIT, while ERNIE 5.0 uses a proprietary license.

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

DeepSeek-V4-Pro-Max

MIT

Open weights

ERNIE 5.0

Proprietary

Closed source

Release Timeline

When each model was launched

DeepSeek-V4-Pro-Max was released on 2026-04-23, while ERNIE 5.0 was released on 2026-01-22.

DeepSeek-V4-Pro-Max is 3 months newer than ERNIE 5.0.

DeepSeek-V4-Pro-Max

Apr 23, 2026

3 months ago

3mo newer
ERNIE 5.0

Jan 22, 2026

6 months ago

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→

Key Takeaways

DeepSeek
Larger context window (1,048,576 tokens)
Has open weights
Higher GPQA score (90.1% vs 85.0%)
Higher Humanity's Last Exam score (48.2% vs 39.0%)
Higher MMLU-Pro score (87.5% vs 87.0%)
Baidu
Supports multimodal inputs
Higher SimpleQA score (75.0% vs 57.9%)

Detailed Comparison

Interactive Arena

Judge for yourself.

Run your own prompts against DeepSeek-V4-Pro-Max and ERNIE 5.0 side-by-side, then vote on the output you prefer.

DeepSeek-V4-Pro-Max
✓ Preferred
ERNIE 5.0
Open in Playground
AI Model Comparison Table
Feature
DeepSeek
DeepSeek-V4-Pro-Max
Baidu
ERNIE 5.0

FAQ

Common questions about DeepSeek-V4-Pro-Max vs ERNIE 5.0.

Which is better, DeepSeek-V4-Pro-Max or ERNIE 5.0?

DeepSeek-V4-Pro-Max shows notably better performance in the majority of benchmarks. DeepSeek-V4-Pro-Max is made by DeepSeek and ERNIE 5.0 is made by Baidu. The best choice depends on your use case — compare their benchmark scores, pricing, and capabilities above.

How does DeepSeek-V4-Pro-Max compare to ERNIE 5.0 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%. ERNIE 5.0 scores AIME 2025: 87.0%, MMLU-Pro: 87.0%, GPQA: 85.0%, SimpleQA: 75.0%, Humanity's Last Exam: 39.0%.

What are the context window sizes for DeepSeek-V4-Pro-Max and ERNIE 5.0?

DeepSeek-V4-Pro-Max supports 1.0M tokens and ERNIE 5.0 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 ERNIE 5.0?

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

Who makes DeepSeek-V4-Pro-Max and ERNIE 5.0?

DeepSeek-V4-Pro-Max is developed by DeepSeek and ERNIE 5.0 is developed by Baidu.

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