ERNIE 4.5 vs Gemma 3 27B Comparison

Comparing ERNIE 4.5 and Gemma 3 27B across benchmarks, pricing, and capabilities.

Performance Benchmarks

Comparative analysis across standard metrics

5 benchmarks

ERNIE 4.5 outperforms in 1 benchmarks (GPQA), while Gemma 3 27B is better at 4 benchmarks (GSM8k, MATH, MMLU-Pro, SimpleQA).

Gemma 3 27B significantly outperforms across most benchmarks.

Sat Mar 14 2026 • llm-stats.com

Arena Performance

Human preference votes

Pricing Analysis

Price comparison per million tokens

Gemma 3 27B costs less

For input processing, ERNIE 4.5 ($0.40/1M tokens) is 4.0x more expensive than Gemma 3 27B ($0.10/1M tokens).

For output processing, ERNIE 4.5 ($4.00/1M tokens) is 20.0x more expensive than Gemma 3 27B ($0.20/1M tokens).

In conclusion, ERNIE 4.5 is more expensive than Gemma 3 27B.*

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

Lowest available price from all providers
Sat Mar 14 2026 • llm-stats.com
Baidu
ERNIE 4.5
Input tokens$0.40
Output tokens$4.00
Best providerNovita
Google
Gemma 3 27B
Input tokens$0.10
Output tokens$0.20
Best providerDeepinfra
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Model Size

Parameter count comparison

6.0B diff

Gemma 3 27B has 6.0B more parameters than ERNIE 4.5, making it 28.6% larger.

Baidu
ERNIE 4.5
21.0Bparameters
Google
Gemma 3 27B
27.0Bparameters
21.0B
ERNIE 4.5
27.0B
Gemma 3 27B

Context Window

Maximum input and output token capacity

Gemma 3 27B accepts 131,072 input tokens compared to ERNIE 4.5's 128,000 tokens. Gemma 3 27B can generate longer responses up to 131,072 tokens, while ERNIE 4.5 is limited to 65,536 tokens.

Baidu
ERNIE 4.5
Input128,000 tokens
Output65,536 tokens
Google
Gemma 3 27B
Input131,072 tokens
Output131,072 tokens
Sat Mar 14 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

Gemma 3 27B supports multimodal inputs, whereas ERNIE 4.5 does not.

Gemma 3 27B can handle both text and other forms of data like images, making it suitable for multimodal applications.

ERNIE 4.5

Text
Images
Audio
Video

Gemma 3 27B

Text
Images
Audio
Video

License

Usage and distribution terms

ERNIE 4.5 is licensed under a proprietary license, while Gemma 3 27B uses Gemma.

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

ERNIE 4.5

Proprietary

Closed source

Gemma 3 27B

Gemma

Open weights

Release Timeline

When each model was launched

ERNIE 4.5 was released on 2025-06-25, while Gemma 3 27B was released on 2025-03-12.

ERNIE 4.5 is 4 months newer than Gemma 3 27B.

ERNIE 4.5

Jun 25, 2025

8 months ago

3mo newer
Gemma 3 27B

Mar 12, 2025

1.0 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. Gemma 3 27B is available from DeepInfra, Novita. The availability of providers can affect quality of the model and reliability.

ERNIE 4.5

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

Gemma 3 27B

deepinfra logo
Deepinfra
Input Price:Input: $0.10/1MOutput Price:Output: $0.20/1M
novita logo
Novita
Input Price:Input: $0.11/1MOutput Price:Output: $0.20/1M
* Prices shown are per million tokens

Outputs Comparison

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Key Takeaways

Higher GPQA score (74.0% vs 42.4%)
Larger context window (131,072 tokens)
Supports multimodal inputs
Less expensive input tokens
Less expensive output tokens
Has open weights
Higher GSM8k score (95.9% vs 25.2%)
Higher MATH score (89.0% vs 12.4%)
Higher MMLU-Pro score (67.5% vs 16.0%)
Higher SimpleQA score (10.0% vs 1.8%)

Detailed Comparison

AI Model Comparison Table
Feature
Baidu
ERNIE 4.5
Google
Gemma 3 27B