Model Comparison

Qwen3.5-397B-A17B vs ERNIE 5.0

Qwen3.5-397B-A17B shows notably better performance in the majority of benchmarks.

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Performance Benchmarks

Comparative analysis across standard metrics

3 benchmarks

Qwen3.5-397B-A17B outperforms in 2 benchmarks (GPQA, MMLU-Pro), while ERNIE 5.0 is better at 1 benchmark (Humanity's Last Exam).

Qwen3.5-397B-A17B shows notably better performance in the majority of benchmarks.

Wed May 13 2026 • llm-stats.com

Arena Performance

Human preference votes

Context Window

Maximum input and output token capacity

Only Qwen3.5-397B-A17B specifies input context (262,144 tokens). Only Qwen3.5-397B-A17B specifies output context (64,000 tokens).

Qwen3.5-397B-A17B

Input262,144 tokens

Output64,000 tokens

ERNIE 5.0

Input- tokens

Output- tokens

Wed May 13 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

Both Qwen3.5-397B-A17B and ERNIE 5.0 support multimodal inputs.

They are both capable of processing various types of data, offering versatility in application.

Qwen3.5-397B-A17B

Text

Images

Audio

Video

ERNIE 5.0

Text

Images

Audio

Video

License

Usage and distribution terms

Qwen3.5-397B-A17B is licensed under Apache 2.0, while ERNIE 5.0 uses a proprietary license.

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

Qwen3.5-397B-A17B

Apache 2.0

Open weights

ERNIE 5.0

Proprietary

Closed source

Release Timeline

When each model was launched

Qwen3.5-397B-A17B was released on 2026-02-16, while ERNIE 5.0 was released on 2026-01-22.

Qwen3.5-397B-A17B is 1 month newer than ERNIE 5.0.

Qwen3.5-397B-A17B

Feb 16, 2026

2 months ago

3w newer

ERNIE 5.0

Jan 22, 2026

3 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

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Key Takeaways

Qwen3.5-397B-A17B

View details

Alibaba Cloud / Qwen Team

Larger context window (262,144 tokens)

Has open weights

Higher GPQA score (88.4% vs 85.0%)

Higher MMLU-Pro score (87.8% vs 87.0%)

ERNIE 5.0

View details

Baidu

Higher Humanity's Last Exam score (39.0% vs 28.7%)

Detailed Comparison

AI Model Comparison Table
Feature	Qwen3.5-397B-A17B	ERNIE 5.0

FAQ

Common questions about Qwen3.5-397B-A17B vs ERNIE 5.0.

Which is better, Qwen3.5-397B-A17B or ERNIE 5.0?

Qwen3.5-397B-A17B shows notably better performance in the majority of benchmarks. Qwen3.5-397B-A17B is made by Alibaba Cloud / Qwen Team 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 Qwen3.5-397B-A17B compare to ERNIE 5.0 in benchmarks?

Qwen3.5-397B-A17B scores MMLU-Redux: 94.9%, HMMT 2025: 94.8%, C-Eval: 93.0%, HMMT25: 92.7%, IFEval: 92.6%. 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 Qwen3.5-397B-A17B and ERNIE 5.0?

Qwen3.5-397B-A17B supports 262K 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 Qwen3.5-397B-A17B and ERNIE 5.0?

Key differences include licensing (Apache 2.0 vs Proprietary). See the full comparison above for benchmark-by-benchmark results.

Who makes Qwen3.5-397B-A17B and ERNIE 5.0?

Qwen3.5-397B-A17B is developed by Alibaba Cloud / Qwen Team and ERNIE 5.0 is developed by Baidu.