ERNIE 4.5 vs Mistral Small 3.1 24B Base Comparison

Comparing ERNIE 4.5 and Mistral Small 3.1 24B Base across benchmarks, pricing, and capabilities.

Performance Benchmarks

Comparative analysis across standard metrics

3 benchmarks

ERNIE 4.5 outperforms in 1 benchmarks (GPQA), while Mistral Small 3.1 24B Base is better at 2 benchmarks (MMLU, MMLU-Pro).

Mistral Small 3.1 24B Base shows notably better performance in the majority of benchmarks.

Mon Mar 16 2026 • llm-stats.com

Arena Performance

Human preference votes

Pricing Analysis

Price comparison per million tokens

Mistral Small 3.1 24B Base costs less

For input processing, ERNIE 4.5 ($0.40/1M tokens) is 4.0x more expensive than Mistral Small 3.1 24B Base ($0.10/1M tokens).

For output processing, ERNIE 4.5 ($4.00/1M tokens) is 13.3x more expensive than Mistral Small 3.1 24B Base ($0.30/1M tokens).

In conclusion, ERNIE 4.5 is more expensive than Mistral Small 3.1 24B Base.*

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

Lowest available price from all providers
Mon Mar 16 2026 • llm-stats.com
Baidu
ERNIE 4.5
Input tokens$0.40
Output tokens$4.00
Best providerNovita
Mistral AI
Mistral Small 3.1 24B Base
Input tokens$0.10
Output tokens$0.30
Best providerMistral
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Model Size

Parameter count comparison

3.0B diff

Mistral Small 3.1 24B Base has 3.0B more parameters than ERNIE 4.5, making it 14.3% larger.

Baidu
ERNIE 4.5
21.0Bparameters
Mistral AI
Mistral Small 3.1 24B Base
24.0Bparameters
21.0B
ERNIE 4.5
24.0B
Mistral Small 3.1 24B Base

Context Window

Maximum input and output token capacity

Both models have the same input context window of 128,000 tokens. Mistral Small 3.1 24B Base can generate longer responses up to 128,000 tokens, while ERNIE 4.5 is limited to 65,536 tokens.

Baidu
ERNIE 4.5
Input128,000 tokens
Output65,536 tokens
Mistral AI
Mistral Small 3.1 24B Base
Input128,000 tokens
Output128,000 tokens
Mon Mar 16 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

Mistral Small 3.1 24B Base supports multimodal inputs, whereas ERNIE 4.5 does not.

Mistral Small 3.1 24B Base can handle both text and other forms of data like images, making it suitable for multimodal applications.

ERNIE 4.5

Text
Images
Audio
Video

Mistral Small 3.1 24B Base

Text
Images
Audio
Video

License

Usage and distribution terms

ERNIE 4.5 is licensed under a proprietary license, while Mistral Small 3.1 24B Base 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

Mistral Small 3.1 24B Base

Apache 2.0

Open weights

Release Timeline

When each model was launched

ERNIE 4.5 was released on 2025-06-25, while Mistral Small 3.1 24B Base was released on 2025-03-17.

ERNIE 4.5 is 3 months newer than Mistral Small 3.1 24B Base.

ERNIE 4.5

Jun 25, 2025

8 months ago

3mo newer
Mistral Small 3.1 24B Base

Mar 17, 2025

12 months 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. Mistral Small 3.1 24B Base 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

Mistral Small 3.1 24B Base

mistral logo
Mistral
Input Price:Input: $0.10/1MOutput Price:Output: $0.30/1M
* Prices shown are per million tokens

Outputs Comparison

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Key Takeaways

Higher GPQA score (74.0% vs 37.5%)
Supports multimodal inputs
Less expensive input tokens
Less expensive output tokens
Has open weights
Higher MMLU score (81.0% vs 41.9%)
Higher MMLU-Pro score (56.0% vs 16.0%)

Detailed Comparison

AI Model Comparison Table
Feature
Baidu
ERNIE 4.5
Mistral AI
Mistral Small 3.1 24B Base