Model Comparison

ERNIE 4.5 vs QwQ-32B

ERNIE 4.5 significantly outperforms across most benchmarks.

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Performance Benchmarks

Comparative analysis across standard metrics

1 benchmarks

ERNIE 4.5 outperforms in 1 benchmarks (GPQA), while QwQ-32B is better at 0 benchmarks.

ERNIE 4.5 significantly outperforms across most benchmarks.

Thu Apr 16 2026 • llm-stats.com

Arena Performance

Human preference votes

Pricing Analysis

Price comparison per million tokens

Cost data unavailable.

Lowest available price from all providers
Thu Apr 16 2026 • llm-stats.com
Baidu
ERNIE 4.5
Input tokens$0.40
Output tokens$4.00
Best providerNovita
Alibaba Cloud / Qwen Team
QwQ-32B
Input tokens$0.00
Output tokens$0.00
Best providerUnknown Organization
Notice missing or incorrect data?Start an Issue→

Model Size

Parameter count comparison

11.5B diff

QwQ-32B has 11.5B more parameters than ERNIE 4.5, making it 54.8% larger.

Baidu
ERNIE 4.5
21.0Bparameters
Alibaba Cloud / Qwen Team
QwQ-32B
32.5Bparameters
21.0B
ERNIE 4.5
32.5B
QwQ-32B

Context Window

Maximum input and output token capacity

Only ERNIE 4.5 specifies input context (128,000 tokens). Only ERNIE 4.5 specifies output context (65,536 tokens).

Baidu
ERNIE 4.5
Input128,000 tokens
Output65,536 tokens
Alibaba Cloud / Qwen Team
QwQ-32B
Input- tokens
Output- tokens
Thu Apr 16 2026 • llm-stats.com

License

Usage and distribution terms

ERNIE 4.5 is licensed under a proprietary license, while QwQ-32B uses Apache 2.0.

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

ERNIE 4.5

Proprietary

Closed source

QwQ-32B

Apache 2.0

Open weights

Release Timeline

When each model was launched

ERNIE 4.5 was released on 2025-06-25, while QwQ-32B was released on 2025-03-05.

ERNIE 4.5 is 4 months newer than QwQ-32B.

ERNIE 4.5

Jun 25, 2025

9 months ago

3mo newer
QwQ-32B

Mar 5, 2025

1.1 years ago

Knowledge Cutoff

When training data ends

QwQ-32B has a documented knowledge cutoff of 2024-11-28, while ERNIE 4.5's cutoff date is not specified.

We can confirm QwQ-32B's training data extends to 2024-11-28, but cannot make a direct comparison without ERNIE 4.5's cutoff date.

ERNIE 4.5

—

QwQ-32B

Nov 2024

Outputs Comparison

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Key Takeaways

Baidu
Larger context window (128,000 tokens)
Higher GPQA score (74.0% vs 65.2%)
Alibaba Cloud / Qwen Team

QwQ-32B

View details

Alibaba Cloud / Qwen Team

Has open weights

Detailed Comparison

AI Model Comparison Table
Feature
Baidu
ERNIE 4.5
Alibaba Cloud / Qwen Team
QwQ-32B

FAQ

Common questions about ERNIE 4.5 vs QwQ-32B

ERNIE 4.5 significantly outperforms across most benchmarks. ERNIE 4.5 is made by Baidu and QwQ-32B is made by Alibaba Cloud / Qwen Team. The best choice depends on your use case — compare their benchmark scores, pricing, and capabilities above.
ERNIE 4.5 scores GPQA: 74.0%, ARC-E: 60.7%, PIQA: 55.2%, Winogrande: 51.3%, CLUEWSC: 48.6%. QwQ-32B scores MATH-500: 90.6%, IFEval: 83.9%, AIME 2024: 79.5%, LiveBench: 73.1%, BFCL: 66.4%.
ERNIE 4.5 supports 128K tokens and QwQ-32B supports an unknown number of tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.
Key differences include licensing (Proprietary vs Apache 2.0). See the full comparison above for benchmark-by-benchmark results.
ERNIE 4.5 is developed by Baidu and QwQ-32B is developed by Alibaba Cloud / Qwen Team.