ERNIE 4.5 vs Ministral 3 (8B Reasoning 2512) Comparison

Comparing ERNIE 4.5 and Ministral 3 (8B Reasoning 2512) across benchmarks, pricing, and capabilities.

Performance Benchmarks

Comparative analysis across standard metrics

1 benchmarks

ERNIE 4.5 outperforms in 1 benchmarks (GPQA), while Ministral 3 (8B Reasoning 2512) is better at 0 benchmarks.

ERNIE 4.5 significantly outperforms across most benchmarks.

Tue Mar 17 2026 • llm-stats.com

Arena Performance

Human preference votes

Pricing Analysis

Price comparison per million tokens

Ministral 3 (8B Reasoning 2512) costs less

For input processing, ERNIE 4.5 ($0.40/1M tokens) is 2.7x more expensive than Ministral 3 (8B Reasoning 2512) ($0.15/1M tokens).

For output processing, ERNIE 4.5 ($4.00/1M tokens) is 26.7x more expensive than Ministral 3 (8B Reasoning 2512) ($0.15/1M tokens).

In conclusion, ERNIE 4.5 is more expensive than Ministral 3 (8B Reasoning 2512).*

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

Lowest available price from all providers
Tue Mar 17 2026 • llm-stats.com
Baidu
ERNIE 4.5
Input tokens$0.40
Output tokens$4.00
Best providerNovita
Mistral AI
Ministral 3 (8B Reasoning 2512)
Input tokens$0.15
Output tokens$0.15
Best providerMistral
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Model Size

Parameter count comparison

13.0B diff

ERNIE 4.5 has 13.0B more parameters than Ministral 3 (8B Reasoning 2512), making it 162.5% larger.

Baidu
ERNIE 4.5
21.0Bparameters
Mistral AI
Ministral 3 (8B Reasoning 2512)
8.0Bparameters
21.0B
ERNIE 4.5
8.0B
Ministral 3 (8B Reasoning 2512)

Context Window

Maximum input and output token capacity

Ministral 3 (8B Reasoning 2512) accepts 262,100 input tokens compared to ERNIE 4.5's 128,000 tokens. Ministral 3 (8B Reasoning 2512) can generate longer responses up to 262,100 tokens, while ERNIE 4.5 is limited to 65,536 tokens.

Baidu
ERNIE 4.5
Input128,000 tokens
Output65,536 tokens
Mistral AI
Ministral 3 (8B Reasoning 2512)
Input262,100 tokens
Output262,100 tokens
Tue Mar 17 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

Ministral 3 (8B Reasoning 2512) supports multimodal inputs, whereas ERNIE 4.5 does not.

Ministral 3 (8B Reasoning 2512) can handle both text and other forms of data like images, making it suitable for multimodal applications.

ERNIE 4.5

Text
Images
Audio
Video

Ministral 3 (8B Reasoning 2512)

Text
Images
Audio
Video

License

Usage and distribution terms

ERNIE 4.5 is licensed under a proprietary license, while Ministral 3 (8B Reasoning 2512) 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

Ministral 3 (8B Reasoning 2512)

Apache 2.0

Open weights

Release Timeline

When each model was launched

ERNIE 4.5 was released on 2025-06-25, while Ministral 3 (8B Reasoning 2512) was released on 2025-12-04.

Ministral 3 (8B Reasoning 2512) is 5 months newer than ERNIE 4.5.

ERNIE 4.5

Jun 25, 2025

8 months ago

Ministral 3 (8B Reasoning 2512)

Dec 4, 2025

3 months ago

5mo newer

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. Ministral 3 (8B Reasoning 2512) is available from Mistral AI. 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

Ministral 3 (8B Reasoning 2512)

mistral logo
Mistral
Input Price:Input: $0.15/1MOutput Price:Output: $0.15/1M
* Prices shown are per million tokens

Outputs Comparison

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Key Takeaways

Higher GPQA score (74.0% vs 66.8%)
Larger context window (262,100 tokens)
Supports multimodal inputs
Less expensive input tokens
Less expensive output tokens
Has open weights

Detailed Comparison

AI Model Comparison Table
Feature
Baidu
ERNIE 4.5
Mistral AI
Ministral 3 (8B Reasoning 2512)