Model Comparison

ERNIE 4.5 vs Llama 3.1 Nemotron 70B Instruct

Llama 3.1 Nemotron 70B Instruct significantly outperforms across most benchmarks.

Performance Benchmarks

Comparative analysis across standard metrics

5 benchmarks

ERNIE 4.5 outperforms in 0 benchmarks, while Llama 3.1 Nemotron 70B Instruct is better at 5 benchmarks (ARC-C, GSM8k, HellaSwag, MMLU, Winogrande).

Llama 3.1 Nemotron 70B 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

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
NVIDIA
Llama 3.1 Nemotron 70B Instruct
Input tokens$0.00
Output tokens$0.00
Best providerUnknown Organization
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Model Size

Parameter count comparison

49.0B diff

Llama 3.1 Nemotron 70B Instruct has 49.0B more parameters than ERNIE 4.5, making it 233.3% larger.

Baidu
ERNIE 4.5
21.0Bparameters
NVIDIA
Llama 3.1 Nemotron 70B Instruct
70.0Bparameters
21.0B
ERNIE 4.5
70.0B
Llama 3.1 Nemotron 70B Instruct

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
NVIDIA
Llama 3.1 Nemotron 70B Instruct
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 Llama 3.1 Nemotron 70B Instruct uses Llama 3.1 Community License.

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

ERNIE 4.5

Proprietary

Closed source

Llama 3.1 Nemotron 70B Instruct

Llama 3.1 Community License

Open weights

Release Timeline

When each model was launched

ERNIE 4.5 was released on 2025-06-25, while Llama 3.1 Nemotron 70B Instruct was released on 2024-10-01.

ERNIE 4.5 is 9 months newer than Llama 3.1 Nemotron 70B Instruct.

ERNIE 4.5

Jun 25, 2025

9 months ago

8mo newer
Llama 3.1 Nemotron 70B Instruct

Oct 1, 2024

1.5 years ago

Knowledge Cutoff

When training data ends

Llama 3.1 Nemotron 70B Instruct has a documented knowledge cutoff of 2023-12-01, while ERNIE 4.5's cutoff date is not specified.

We can confirm Llama 3.1 Nemotron 70B Instruct's training data extends to 2023-12-01, but cannot make a direct comparison without ERNIE 4.5's cutoff date.

ERNIE 4.5

Llama 3.1 Nemotron 70B Instruct

Dec 2023

Outputs Comparison

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Key Takeaways

Larger context window (128,000 tokens)
Has open weights
Higher ARC-C score (69.2% vs 40.6%)
Higher GSM8k score (91.4% vs 25.2%)
Higher HellaSwag score (85.6% vs 33.0%)
Higher MMLU score (80.2% vs 41.9%)
Higher Winogrande score (84.5% vs 51.3%)

Detailed Comparison

AI Model Comparison Table
Feature
Baidu
ERNIE 4.5
NVIDIA
Llama 3.1 Nemotron 70B Instruct

FAQ

Common questions about ERNIE 4.5 vs Llama 3.1 Nemotron 70B Instruct

Llama 3.1 Nemotron 70B Instruct significantly outperforms across most benchmarks. ERNIE 4.5 is made by Baidu and Llama 3.1 Nemotron 70B Instruct is made by NVIDIA. 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%. Llama 3.1 Nemotron 70B Instruct scores GSM8k: 91.4%, HellaSwag: 85.6%, Winogrande: 84.5%, GSM8K Chat: 81.9%, MMLU Chat: 80.6%.
ERNIE 4.5 supports 128K tokens and Llama 3.1 Nemotron 70B Instruct 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 Llama 3.1 Community License). See the full comparison above for benchmark-by-benchmark results.
ERNIE 4.5 is developed by Baidu and Llama 3.1 Nemotron 70B Instruct is developed by NVIDIA.