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DeepSeek-V4-Pro-0813 vs ERNIE 5.0

DeepSeek-V4-Pro-0813 significantly outperforms across most benchmarks.

DeepSeek · Baidu · Updated for 2026

Which is better?

DeepSeek-V4-Pro-0813 outperforms in 1 benchmarks (Humanity's Last Exam), while ERNIE 5.0 is better at 0 benchmarks. DeepSeek-V4-Pro-0813 significantly outperforms across most benchmarks.

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

Choose DeepSeek-V4-Pro-0813

  • you want the strongest raw capability — it leads on 1 of 1 shared benchmarks
  • you want the most recent training data — it shipped Aug 2026
  • you need open weights you can self-host or fine-tune

Choose ERNIE 5.0

  • you are already invested in the Baidu ecosystem

At a glance

The differences that matter most.

Benchmark wins
1 of 1
0 of 1
Input price
$0.43 / M
— / M
Output price
$0.87 / M
— / M
Context window
1,048,576
Released
Aug 2026
Jan 2026
License
MIT
Proprietary

Performance Benchmarks

Comparative analysis across standard metrics

1 benchmarks

DeepSeek-V4-Pro-0813 outperforms in 1 benchmarks (Humanity's Last Exam), while ERNIE 5.0 is better at 0 benchmarks.

DeepSeek-V4-Pro-0813 significantly outperforms across most benchmarks.

Tue Aug 25 2026 • llm-stats.com

Arena Performance

Playground indexes and blind preference scores

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
Baidu
ERNIE 5.0
Input- tokens
Output- tokens
Tue Aug 25 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

ERNIE 5.0 supports multimodal inputs, whereas DeepSeek-V4-Pro-0813 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-0813

Text
Images
Audio
Video

ERNIE 5.0

Text
Images
Audio
Video

License

Usage and distribution terms

DeepSeek-V4-Pro-0813 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-0813

MIT

Open weights

ERNIE 5.0

Proprietary

Closed source

Release Timeline

When each model was launched

DeepSeek-V4-Pro-0813 was released on 2026-08-13, while ERNIE 5.0 was released on 2026-01-22.

DeepSeek-V4-Pro-0813 is 7 months newer than ERNIE 5.0.

DeepSeek-V4-Pro-0813

Aug 13, 2026

1 weeks ago

6mo newer
ERNIE 5.0

Jan 22, 2026

7 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

Judge for yourself.

Run your own prompts against DeepSeek-V4-Pro-0813 and ERNIE 5.0 side-by-side, then vote on the output you prefer.

DeepSeek-V4-Pro-0813
✓ Preferred
ERNIE 5.0
Open in Playground

FAQ

Common questions about DeepSeek-V4-Pro-0813 vs ERNIE 5.0.

Which is better, DeepSeek-V4-Pro-0813 or ERNIE 5.0?

DeepSeek-V4-Pro-0813 significantly outperforms across most benchmarks. DeepSeek-V4-Pro-0813 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-0813 compare to ERNIE 5.0 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%. 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-0813 and ERNIE 5.0?

DeepSeek-V4-Pro-0813 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-0813 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-0813 and ERNIE 5.0?

DeepSeek-V4-Pro-0813 is developed by DeepSeek and ERNIE 5.0 is developed by Baidu.