Model Comparison

ERNIE 4.5 vs MiniStral 3 (14B Instruct 2512)Which is better in 2026?

MiniStral 3 (14B Instruct 2512) significantly outperforms across most benchmarks.

Verdict: ERNIE 4.5 vs MiniStral 3 (14B Instruct 2512) — which is better?

ERNIE 4.5 (by Baidu) and MiniStral 3 (14B Instruct 2512) (by Mistral AI) are two of the AI models people compare most. Here is how they stack up on benchmarks, price and capabilities, and which one to pick in 2026.

ERNIE 4.5 outperforms in 0 benchmarks, while MiniStral 3 (14B Instruct 2512) is better at 1 benchmark (MATH). MiniStral 3 (14B Instruct 2512) significantly outperforms across most benchmarks.

Choose ERNIE 4.5 if…

  • you want predictable pricing at $0.40/M input and $4.00/M output

Choose MiniStral 3 (14B Instruct 2512) if…

  • you want the strongest raw capability — it leads on 1 of 1 shared benchmarks
  • you want the most recent training data — it shipped Dec 2025
  • you need open weights you can self-host or fine-tune
Want to compare interactively?Try the playground

Performance Benchmarks

Comparative analysis across standard metrics

1 benchmarks

ERNIE 4.5 outperforms in 0 benchmarks, while MiniStral 3 (14B Instruct 2512) is better at 1 benchmark (MATH).

MiniStral 3 (14B Instruct 2512) significantly outperforms across most benchmarks.

Mon Jun 15 2026 • llm-stats.com

Arena Performance

Human preference votes

Model Size

Parameter count comparison

7.0B diff

ERNIE 4.5 has 7.0B more parameters than MiniStral 3 (14B Instruct 2512), making it 50.0% larger.

Baidu
ERNIE 4.5
21.0Bparameters
Mistral AI
MiniStral 3 (14B Instruct 2512)
14.0Bparameters
21.0B
ERNIE 4.5
14.0B
MiniStral 3 (14B Instruct 2512)

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
MiniStral 3 (14B Instruct 2512)
Input- tokens
Output- tokens
Mon Jun 15 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

MiniStral 3 (14B Instruct 2512) supports multimodal inputs, whereas ERNIE 4.5 does not.

MiniStral 3 (14B Instruct 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 (14B Instruct 2512)

Text
Images
Audio
Video

License

Usage and distribution terms

ERNIE 4.5 is licensed under a proprietary license, while MiniStral 3 (14B Instruct 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 (14B Instruct 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 (14B Instruct 2512) was released on 2025-12-04.

MiniStral 3 (14B Instruct 2512) is 5 months newer than ERNIE 4.5.

ERNIE 4.5

Jun 25, 2025

11 months ago

MiniStral 3 (14B Instruct 2512)

Dec 4, 2025

6 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

Outputs Comparison

Notice missing or incorrect data?Start an Issue discussion→

Key Takeaways

Baidu
Larger context window (128,000 tokens)
Mistral AI
Supports multimodal inputs
Has open weights
Higher MATH score (90.4% vs 12.4%)

Detailed Comparison

AI Model Comparison Table
Feature
Baidu
ERNIE 4.5
Mistral AI
MiniStral 3 (14B Instruct 2512)

FAQ

Common questions about ERNIE 4.5 vs MiniStral 3 (14B Instruct 2512).

Which is better, ERNIE 4.5 or MiniStral 3 (14B Instruct 2512)?

MiniStral 3 (14B Instruct 2512) significantly outperforms across most benchmarks. ERNIE 4.5 is made by Baidu and MiniStral 3 (14B Instruct 2512) is made by Mistral AI. The best choice depends on your use case — compare their benchmark scores, pricing, and capabilities above.

How does ERNIE 4.5 compare to MiniStral 3 (14B Instruct 2512) in benchmarks?

ERNIE 4.5 scores GPQA: 74.0%, ARC-E: 60.7%, PIQA: 55.2%, Winogrande: 51.3%, CLUEWSC: 48.6%. MiniStral 3 (14B Instruct 2512) scores MATH: 90.4%, Wild Bench: 68.5%, Arena Hard: 55.1%, MM-MT-Bench: 8.5%.

What are the context window sizes for ERNIE 4.5 and MiniStral 3 (14B Instruct 2512)?

ERNIE 4.5 supports 128K tokens and MiniStral 3 (14B Instruct 2512) supports an unknown number of tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.

What are the main differences between ERNIE 4.5 and MiniStral 3 (14B Instruct 2512)?

Key differences include multimodal support (no vs yes), licensing (Proprietary vs Apache 2.0). See the full comparison above for benchmark-by-benchmark results.

Who makes ERNIE 4.5 and MiniStral 3 (14B Instruct 2512)?

ERNIE 4.5 is developed by Baidu and MiniStral 3 (14B Instruct 2512) is developed by Mistral AI.

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