Model Comparison

ERNIE 4.5 vs Mistral Small 3 24B Base

Mistral Small 3 24B Base significantly outperforms across most benchmarks.

Want to compare interactively?Try the playground

Performance Benchmarks

Comparative analysis across standard metrics

7 benchmarks

ERNIE 4.5 outperforms in 1 benchmarks (GPQA), while Mistral Small 3 24B Base is better at 6 benchmarks (AGIEval, ARC-C, GSM8k, MATH, MMLU, MMLU-Pro).

Mistral Small 3 24B Base significantly outperforms across most benchmarks.

Fri Apr 17 2026 • llm-stats.com

Arena Performance

Human preference votes

Pricing Analysis

Price comparison per million tokens

Cost data unavailable.

Lowest available price from all providers
Fri Apr 17 2026 • llm-stats.com
Baidu
ERNIE 4.5
Input tokens$0.40
Output tokens$4.00
Best providerNovita
Mistral AI
Mistral Small 3 24B Base
Input tokens$0.00
Output tokens$0.00
Best providerUnknown Organization
Notice missing or incorrect data?Start an Issue→

Model Size

Parameter count comparison

2.6B diff

Mistral Small 3 24B Base has 2.6B more parameters than ERNIE 4.5, making it 12.4% larger.

Baidu
ERNIE 4.5
21.0Bparameters
Mistral AI
Mistral Small 3 24B Base
23.6Bparameters
21.0B
ERNIE 4.5
23.6B
Mistral Small 3 24B Base

Context Window

Maximum input and output token capacity

Only ERNIE 4.5 specifies input context (128,000 tokens). Only ERNIE 4.5 specifies output context (65,536 tokens).

Baidu
ERNIE 4.5
Input128,000 tokens
Output65,536 tokens
Mistral AI
Mistral Small 3 24B Base
Input- tokens
Output- tokens
Fri Apr 17 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

Mistral Small 3 24B Base supports multimodal inputs, whereas ERNIE 4.5 does not.

Mistral Small 3 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 24B Base

Text
Images
Audio
Video

License

Usage and distribution terms

ERNIE 4.5 is licensed under a proprietary license, while Mistral Small 3 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 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 24B Base was released on 2025-01-30.

ERNIE 4.5 is 5 months newer than Mistral Small 3 24B Base.

ERNIE 4.5

Jun 25, 2025

9 months ago

4mo newer
Mistral Small 3 24B Base

Jan 30, 2025

1.2 years ago

Knowledge Cutoff

When training data ends

Mistral Small 3 24B Base has a documented knowledge cutoff of 2023-10-01, while ERNIE 4.5's cutoff date is not specified.

We can confirm Mistral Small 3 24B Base's training data extends to 2023-10-01, but cannot make a direct comparison without ERNIE 4.5's cutoff date.

ERNIE 4.5

—

Mistral Small 3 24B Base

Oct 2023

Outputs Comparison

Notice missing or incorrect data?Start an Issue discussion→

Key Takeaways

Baidu
Larger context window (128,000 tokens)
Higher GPQA score (74.0% vs 34.4%)
Mistral AI
Supports multimodal inputs
Has open weights
Higher AGIEval score (65.8% vs 28.5%)
Higher ARC-C score (91.3% vs 40.6%)
Higher GSM8k score (80.7% vs 25.2%)
Higher MATH score (46.0% vs 12.4%)
Higher MMLU score (80.7% vs 41.9%)
Higher MMLU-Pro score (54.4% vs 16.0%)

Detailed Comparison

AI Model Comparison Table
Feature
Baidu
ERNIE 4.5
Mistral AI
Mistral Small 3 24B Base

FAQ

Common questions about ERNIE 4.5 vs Mistral Small 3 24B Base

Mistral Small 3 24B Base significantly outperforms across most benchmarks. ERNIE 4.5 is made by Baidu and Mistral Small 3 24B Base is made by Mistral AI. 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%. Mistral Small 3 24B Base scores ARC-C: 91.3%, GSM8k: 80.7%, MMLU: 80.7%, TriviaQA: 80.3%, MBPP: 69.6%.
ERNIE 4.5 supports 128K tokens and Mistral Small 3 24B Base supports an unknown number of tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.
Key differences include 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 Mistral Small 3 24B Base is developed by Mistral AI.