Model Comparison

ERNIE 4.5 vs Granite 3.3 8B Instruct

Granite 3.3 8B Instruct significantly outperforms across most benchmarks. Granite 3.3 8B Instruct is 2.6x cheaper per token.

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Performance Benchmarks

Comparative analysis across standard metrics

4 benchmarks

ERNIE 4.5 outperforms in 0 benchmarks, while Granite 3.3 8B Instruct is better at 4 benchmarks (DROP, GSM8k, HumanEval+, MMLU).

Granite 3.3 8B Instruct significantly outperforms across most benchmarks.

Wed Apr 15 2026 • llm-stats.com

Arena Performance

Human preference votes

Pricing Analysis

Price comparison per million tokens

Granite 3.3 8B Instruct costs less

For input processing, ERNIE 4.5 ($0.40/1M tokens) is 1.3x cheaper than Granite 3.3 8B Instruct ($0.50/1M tokens).

For output processing, ERNIE 4.5 ($4.00/1M tokens) is 8.0x more expensive than Granite 3.3 8B Instruct ($0.50/1M tokens).

In conclusion, ERNIE 4.5 is more expensive than Granite 3.3 8B Instruct.*

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

Lowest available price from all providers
Wed Apr 15 2026 • llm-stats.com
Baidu
ERNIE 4.5
Input tokens$0.40
Output tokens$4.00
Best providerNovita
IBM
Granite 3.3 8B Instruct
Input tokens$0.50
Output tokens$0.50
Best providerReplicate
Notice missing or incorrect data?Start an Issue→

Model Size

Parameter count comparison

13.0B diff

ERNIE 4.5 has 13.0B more parameters than Granite 3.3 8B Instruct, making it 162.5% larger.

Baidu
ERNIE 4.5
21.0Bparameters
IBM
Granite 3.3 8B Instruct
8.0Bparameters
21.0B
ERNIE 4.5
8.0B
Granite 3.3 8B Instruct

Context Window

Maximum input and output token capacity

Both models have the same input context window of 128,000 tokens. ERNIE 4.5 can generate longer responses up to 65,536 tokens, while Granite 3.3 8B Instruct is limited to 8,192 tokens.

Baidu
ERNIE 4.5
Input128,000 tokens
Output65,536 tokens
IBM
Granite 3.3 8B Instruct
Input128,000 tokens
Output8,192 tokens
Wed Apr 15 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

Granite 3.3 8B Instruct supports multimodal inputs, whereas ERNIE 4.5 does not.

Granite 3.3 8B Instruct can handle both text and other forms of data like images, making it suitable for multimodal applications.

ERNIE 4.5

Text
Images
Audio
Video

Granite 3.3 8B Instruct

Text
Images
Audio
Video

License

Usage and distribution terms

ERNIE 4.5 is licensed under a proprietary license, while Granite 3.3 8B Instruct 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

Granite 3.3 8B Instruct

Apache 2.0

Open weights

Release Timeline

When each model was launched

ERNIE 4.5 was released on 2025-06-25, while Granite 3.3 8B Instruct was released on 2025-04-16.

ERNIE 4.5 is 2 months newer than Granite 3.3 8B Instruct.

ERNIE 4.5

Jun 25, 2025

9 months ago

2mo newer
Granite 3.3 8B Instruct

Apr 16, 2025

12 months ago

Knowledge Cutoff

When training data ends

Granite 3.3 8B Instruct has a documented knowledge cutoff of 2024-04-01, while ERNIE 4.5's cutoff date is not specified.

We can confirm Granite 3.3 8B Instruct's training data extends to 2024-04-01, but cannot make a direct comparison without ERNIE 4.5's cutoff date.

ERNIE 4.5

—

Granite 3.3 8B Instruct

Apr 2024

Provider Availability

ERNIE 4.5 is available from Novita. Granite 3.3 8B Instruct is available from Replicate.

ERNIE 4.5

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

Granite 3.3 8B Instruct

replicate logo
Replicate
Input Price:Input: $0.50/1MOutput Price:Output: $0.50/1M
* Prices shown are per million tokens

Outputs Comparison

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Key Takeaways

Baidu
Less expensive input tokens
IBM
Supports multimodal inputs
Less expensive output tokens
Has open weights
Higher DROP score (59.4% vs 28.6%)
Higher GSM8k score (80.9% vs 25.2%)
Higher HumanEval+ score (86.1% vs 25.0%)
Higher MMLU score (65.5% vs 41.9%)

Detailed Comparison

AI Model Comparison Table
Feature
Baidu
ERNIE 4.5
IBM
Granite 3.3 8B Instruct

FAQ

Common questions about ERNIE 4.5 vs Granite 3.3 8B Instruct

Granite 3.3 8B Instruct significantly outperforms across most benchmarks. ERNIE 4.5 is made by Baidu and Granite 3.3 8B Instruct is made by IBM. 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%. Granite 3.3 8B Instruct scores HumanEval: 89.7%, AttaQ: 88.5%, HumanEval+: 86.1%, AIME 2024: 81.2%, GSM8k: 80.9%.
ERNIE 4.5 is 1.3x cheaper for input tokens. ERNIE 4.5 costs $0.40/M input and $4.00/M output via novita. Granite 3.3 8B Instruct costs $0.50/M input and $0.50/M output via replicate.
ERNIE 4.5 supports 128K tokens and Granite 3.3 8B Instruct supports 128K tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.
Key differences include input pricing ($0.40 vs $0.50/M), multimodal support (no vs yes), licensing (Proprietary vs Apache 2.0). See the full comparison above for benchmark-by-benchmark results.
ERNIE 4.5 is developed by Baidu and Granite 3.3 8B Instruct is developed by IBM.