Model Comparison

ERNIE 4.5 vs Nemotron 3 Nano (30B A3B)

Nemotron 3 Nano (30B A3B) significantly outperforms across most benchmarks. Nemotron 3 Nano (30B A3B) is 12.4x cheaper per token.

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Performance Benchmarks

Comparative analysis across standard metrics

2 benchmarks

ERNIE 4.5 outperforms in 0 benchmarks, while Nemotron 3 Nano (30B A3B) is better at 2 benchmarks (GPQA, MMLU-Pro).

Nemotron 3 Nano (30B A3B) significantly outperforms across most benchmarks.

Sat Apr 18 2026 • llm-stats.com

Arena Performance

Human preference votes

Pricing Analysis

Price comparison per million tokens

Nemotron 3 Nano (30B A3B) costs less

For input processing, ERNIE 4.5 ($0.40/1M tokens) is 6.7x more expensive than Nemotron 3 Nano (30B A3B) ($0.06/1M tokens).

For output processing, ERNIE 4.5 ($4.00/1M tokens) is 16.7x more expensive than Nemotron 3 Nano (30B A3B) ($0.24/1M tokens).

In conclusion, ERNIE 4.5 is more expensive than Nemotron 3 Nano (30B A3B).*

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

Lowest available price from all providers
Sat Apr 18 2026 • llm-stats.com
Baidu
ERNIE 4.5
Input tokens$0.40
Output tokens$4.00
Best providerNovita
NVIDIA
Nemotron 3 Nano (30B A3B)
Input tokens$0.06
Output tokens$0.24
Best providerDeepinfra
Notice missing or incorrect data?Start an Issue→

Model Size

Parameter count comparison

11.0B diff

Nemotron 3 Nano (30B A3B) has 11.0B more parameters than ERNIE 4.5, making it 52.4% larger.

Baidu
ERNIE 4.5
21.0Bparameters
NVIDIA
Nemotron 3 Nano (30B A3B)
32.0Bparameters
21.0B
ERNIE 4.5
32.0B
Nemotron 3 Nano (30B A3B)

Context Window

Maximum input and output token capacity

Nemotron 3 Nano (30B A3B) accepts 262,144 input tokens compared to ERNIE 4.5's 128,000 tokens. Nemotron 3 Nano (30B A3B) can generate longer responses up to 262,144 tokens, while ERNIE 4.5 is limited to 65,536 tokens.

Baidu
ERNIE 4.5
Input128,000 tokens
Output65,536 tokens
NVIDIA
Nemotron 3 Nano (30B A3B)
Input262,144 tokens
Output262,144 tokens
Sat Apr 18 2026 • llm-stats.com

License

Usage and distribution terms

ERNIE 4.5 is licensed under a proprietary license, while Nemotron 3 Nano (30B A3B) uses NVIDIA Open Model License Agreement .

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

ERNIE 4.5

Proprietary

Closed source

Nemotron 3 Nano (30B A3B)

NVIDIA Open Model License Agreement

Open weights

Release Timeline

When each model was launched

ERNIE 4.5 was released on 2025-06-25, while Nemotron 3 Nano (30B A3B) was released on 2025-12-15.

Nemotron 3 Nano (30B A3B) is 6 months newer than ERNIE 4.5.

ERNIE 4.5

Jun 25, 2025

9 months ago

Nemotron 3 Nano (30B A3B)

Dec 15, 2025

4 months ago

5mo newer

Knowledge Cutoff

When training data ends

Nemotron 3 Nano (30B A3B) has a documented knowledge cutoff of 2025-11-28, while ERNIE 4.5's cutoff date is not specified.

We can confirm Nemotron 3 Nano (30B A3B)'s training data extends to 2025-11-28, but cannot make a direct comparison without ERNIE 4.5's cutoff date.

ERNIE 4.5

—

Nemotron 3 Nano (30B A3B)

Nov 2025

Provider Availability

ERNIE 4.5 is available from Novita. Nemotron 3 Nano (30B A3B) is available from DeepInfra.

ERNIE 4.5

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

Nemotron 3 Nano (30B A3B)

deepinfra logo
Deepinfra
Input Price:Input: $0.06/1MOutput Price:Output: $0.24/1M
* Prices shown are per million tokens

Outputs Comparison

Notice missing or incorrect data?Start an Issue discussion→

Key Takeaways

Baidu
NVIDIA
Larger context window (262,144 tokens)
Less expensive input tokens
Less expensive output tokens
Has open weights
Higher GPQA score (75.0% vs 74.0%)
Higher MMLU-Pro score (78.3% vs 16.0%)

Detailed Comparison

AI Model Comparison Table
Feature
Baidu
ERNIE 4.5
NVIDIA
Nemotron 3 Nano (30B A3B)

FAQ

Common questions about ERNIE 4.5 vs Nemotron 3 Nano (30B A3B)

Nemotron 3 Nano (30B A3B) significantly outperforms across most benchmarks. ERNIE 4.5 is made by Baidu and Nemotron 3 Nano (30B A3B) 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%. Nemotron 3 Nano (30B A3B) scores AIME 2025: 99.2%, WMT24++: 86.2%, MMLU-Pro: 78.3%, GPQA: 75.0%, LiveCodeBench v6: 68.3%.
Nemotron 3 Nano (30B A3B) is 6.7x cheaper for input tokens. ERNIE 4.5 costs $0.40/M input and $4.00/M output via novita. Nemotron 3 Nano (30B A3B) costs $0.06/M input and $0.24/M output via deepinfra.
ERNIE 4.5 supports 128K tokens and Nemotron 3 Nano (30B A3B) supports 262K tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.
Key differences include context window (128K vs 262K), input pricing ($0.40 vs $0.06/M), licensing (Proprietary vs NVIDIA Open Model License Agreement ). See the full comparison above for benchmark-by-benchmark results.
ERNIE 4.5 is developed by Baidu and Nemotron 3 Nano (30B A3B) is developed by NVIDIA.