Model Comparison

ERNIE 4.5 vs Qwen2.5 72B Instruct

Qwen2.5 72B Instruct significantly outperforms across most benchmarks. Qwen2.5 72B Instruct is 3.6x cheaper per token.

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Performance Benchmarks

Comparative analysis across standard metrics

5 benchmarks

ERNIE 4.5 outperforms in 1 benchmarks (GPQA), while Qwen2.5 72B Instruct is better at 4 benchmarks (GSM8k, MATH, MMLU-Pro, MMLU-Redux).

Qwen2.5 72B Instruct significantly outperforms across most benchmarks.

Thu Apr 16 2026 • llm-stats.com

Arena Performance

Human preference votes

Pricing Analysis

Price comparison per million tokens

Qwen2.5 72B Instruct costs less

For input processing, ERNIE 4.5 ($0.40/1M tokens) is 1.1x more expensive than Qwen2.5 72B Instruct ($0.35/1M tokens).

For output processing, ERNIE 4.5 ($4.00/1M tokens) is 10.0x more expensive than Qwen2.5 72B Instruct ($0.40/1M tokens).

In conclusion, ERNIE 4.5 is more expensive than Qwen2.5 72B Instruct.*

* Using a 3:1 ratio of input to output tokens

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
Qwen2.5 72B Instruct
Input tokens$0.35
Output tokens$0.40
Best providerDeepinfra
Notice missing or incorrect data?Start an Issue→

Model Size

Parameter count comparison

51.7B diff

Qwen2.5 72B Instruct has 51.7B more parameters than ERNIE 4.5, making it 246.2% larger.

Baidu
ERNIE 4.5
21.0Bparameters
Alibaba Cloud / Qwen Team
Qwen2.5 72B Instruct
72.7Bparameters
21.0B
ERNIE 4.5
72.7B
Qwen2.5 72B Instruct

Context Window

Maximum input and output token capacity

Qwen2.5 72B Instruct accepts 131,072 input tokens compared to ERNIE 4.5's 128,000 tokens. ERNIE 4.5 can generate longer responses up to 65,536 tokens, while Qwen2.5 72B Instruct is limited to 8,192 tokens.

Baidu
ERNIE 4.5
Input128,000 tokens
Output65,536 tokens
Alibaba Cloud / Qwen Team
Qwen2.5 72B Instruct
Input131,072 tokens
Output8,192 tokens
Thu Apr 16 2026 • llm-stats.com

License

Usage and distribution terms

ERNIE 4.5 is licensed under a proprietary license, while Qwen2.5 72B Instruct uses Qwen.

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

ERNIE 4.5

Proprietary

Closed source

Qwen2.5 72B Instruct

Qwen

Open weights

Release Timeline

When each model was launched

ERNIE 4.5 was released on 2025-06-25, while Qwen2.5 72B Instruct was released on 2024-09-19.

ERNIE 4.5 is 9 months newer than Qwen2.5 72B Instruct.

ERNIE 4.5

Jun 25, 2025

9 months ago

9mo newer
Qwen2.5 72B Instruct

Sep 19, 2024

1.6 years 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

Provider Availability

ERNIE 4.5 is available from Novita. Qwen2.5 72B Instruct is available from DeepInfra, Hyperbolic, Fireworks, Together.

ERNIE 4.5

novita logo
Novita
Input Price:Input: $0.40/1MOutput Price:Output: $4.00/1M

Qwen2.5 72B Instruct

deepinfra logo
Deepinfra
Input Price:Input: $0.35/1MOutput Price:Output: $0.40/1M
hyperbolic logo
Hyperbolic
Input Price:Input: $0.40/1MOutput Price:Output: $0.40/1M
fireworks logo
Fireworks
Input Price:Input: $0.89/1MOutput Price:Output: $0.89/1M
together logo
Together
Input Price:Input: $1.20/1MOutput Price:Output: $1.20/1M
* Prices shown are per million tokens

Outputs Comparison

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Key Takeaways

Baidu
Higher GPQA score (74.0% vs 49.0%)
Alibaba Cloud / Qwen Team

Qwen2.5 72B Instruct

View details

Alibaba Cloud / Qwen Team

Larger context window (131,072 tokens)
Less expensive input tokens
Less expensive output tokens
Has open weights
Higher GSM8k score (95.8% vs 25.2%)
Higher MATH score (83.1% vs 12.4%)
Higher MMLU-Pro score (71.1% vs 16.0%)
Higher MMLU-Redux score (86.8% vs 43.2%)

Detailed Comparison

AI Model Comparison Table
Feature
Baidu
ERNIE 4.5
Alibaba Cloud / Qwen Team
Qwen2.5 72B Instruct

FAQ

Common questions about ERNIE 4.5 vs Qwen2.5 72B Instruct

Qwen2.5 72B Instruct significantly outperforms across most benchmarks. ERNIE 4.5 is made by Baidu and Qwen2.5 72B Instruct 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%. Qwen2.5 72B Instruct scores GSM8k: 95.8%, MT-Bench: 93.5%, MBPP: 88.2%, MMLU-Redux: 86.8%, HumanEval: 86.6%.
Qwen2.5 72B Instruct is 1.1x cheaper for input tokens. ERNIE 4.5 costs $0.40/M input and $4.00/M output via novita. Qwen2.5 72B Instruct costs $0.35/M input and $0.40/M output via deepinfra.
ERNIE 4.5 supports 128K tokens and Qwen2.5 72B Instruct supports 131K tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.
Key differences include context window (128K vs 131K), input pricing ($0.40 vs $0.35/M), licensing (Proprietary vs Qwen). See the full comparison above for benchmark-by-benchmark results.
ERNIE 4.5 is developed by Baidu and Qwen2.5 72B Instruct is developed by Alibaba Cloud / Qwen Team.