ERNIE 5.0 vs Mistral Small 3.1 24B Instruct Comparison

Comparing ERNIE 5.0 and Mistral Small 3.1 24B Instruct across benchmarks, pricing, and capabilities.

Performance Benchmarks

Comparative analysis across standard metrics

3 benchmarks

ERNIE 5.0 outperforms in 3 benchmarks (GPQA, MMLU-Pro, SimpleQA), while Mistral Small 3.1 24B Instruct is better at 0 benchmarks.

ERNIE 5.0 significantly outperforms across most benchmarks.

Mon Mar 16 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
Mon Mar 16 2026 • llm-stats.com
Baidu
ERNIE 5.0
Input tokens$0.00
Output tokens$0.00
Best providerUnknown Organization
Mistral AI
Mistral Small 3.1 24B Instruct
Input tokens$0.00
Output tokens$0.00
Best providerUnknown Organization
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Input Capabilities

Supported data types and modalities

Both ERNIE 5.0 and Mistral Small 3.1 24B Instruct support multimodal inputs.

They are both capable of processing various types of data, offering versatility in application.

ERNIE 5.0

Text
Images
Audio
Video

Mistral Small 3.1 24B Instruct

Text
Images
Audio
Video

License

Usage and distribution terms

ERNIE 5.0 is licensed under a proprietary license, while Mistral Small 3.1 24B Instruct uses Apache 2.0.

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

ERNIE 5.0

Proprietary

Closed source

Mistral Small 3.1 24B Instruct

Apache 2.0

Open weights

Release Timeline

When each model was launched

ERNIE 5.0 was released on 2025-01-22, while Mistral Small 3.1 24B Instruct was released on 2025-03-17.

Mistral Small 3.1 24B Instruct is 2 months newer than ERNIE 5.0.

ERNIE 5.0

Jan 22, 2025

1.1 years ago

Mistral Small 3.1 24B Instruct

Mar 17, 2025

12 months ago

1mo 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

Outputs Comparison

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Key Takeaways

Higher GPQA score (85.0% vs 46.0%)
Higher MMLU-Pro score (87.0% vs 66.8%)
Higher SimpleQA score (75.0% vs 10.4%)

Detailed Comparison

AI Model Comparison Table
Feature
Baidu
ERNIE 5.0
Mistral AI
Mistral Small 3.1 24B Instruct