Model Comparison

Llama 4 Scout vs Ministral 3 (14B Base 2512)Which is better in 2026?

Llama 4 Scout significantly outperforms across most benchmarks.

Verdict: Llama 4 Scout vs Ministral 3 (14B Base 2512) — which is better?

Llama 4 Scout (by Meta) and Ministral 3 (14B Base 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.

Llama 4 Scout outperforms in 1 benchmarks (MMLU), while Ministral 3 (14B Base 2512) is better at 0 benchmarks. Llama 4 Scout significantly outperforms across most benchmarks.

Choose Llama 4 Scout if…

  • you want the strongest raw capability — it leads on 1 of 1 shared benchmarks

Choose Ministral 3 (14B Base 2512) if…

  • you want the most recent training data — it shipped Dec 2025

Performance Benchmarks

Comparative analysis across standard metrics

1 benchmarks

Llama 4 Scout outperforms in 1 benchmarks (MMLU), while Ministral 3 (14B Base 2512) is better at 0 benchmarks.

Llama 4 Scout significantly outperforms across most benchmarks.

Tue Jul 21 2026 • llm-stats.com

Arena Performance

Human preference votes

Model Size

Parameter count comparison

95.0B diff

Llama 4 Scout has 95.0B more parameters than Ministral 3 (14B Base 2512), making it 678.6% larger.

Meta
Llama 4 Scout
109.0Bparameters
Mistral AI
Ministral 3 (14B Base 2512)
14.0Bparameters
109.0B
Llama 4 Scout
14.0B
Ministral 3 (14B Base 2512)

Context Window

Maximum input and output token capacity

Only Llama 4 Scout specifies input context (10,000,000 tokens). Only Llama 4 Scout specifies output context (10,000,000 tokens).

Meta
Llama 4 Scout
Input10,000,000 tokens
Output10,000,000 tokens
Mistral AI
Ministral 3 (14B Base 2512)
Input- tokens
Output- tokens
Tue Jul 21 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

Both Llama 4 Scout and Ministral 3 (14B Base 2512) support multimodal inputs.

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

Llama 4 Scout

Text
Images
Audio
Video

Ministral 3 (14B Base 2512)

Text
Images
Audio
Video

License

Usage and distribution terms

Llama 4 Scout is licensed under Llama 4 Community License Agreement, while Ministral 3 (14B Base 2512) uses Apache 2.0.

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

Llama 4 Scout

Llama 4 Community License Agreement

Open weights

Ministral 3 (14B Base 2512)

Apache 2.0

Open weights

Release Timeline

When each model was launched

Llama 4 Scout was released on 2025-04-05, while Ministral 3 (14B Base 2512) was released on 2025-12-04.

Ministral 3 (14B Base 2512) is 8 months newer than Llama 4 Scout.

Llama 4 Scout

Apr 5, 2025

1.3 years ago

Ministral 3 (14B Base 2512)

Dec 4, 2025

7 months ago

8mo 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

Meta
Larger context window (10,000,000 tokens)
Higher MMLU score (79.6% vs 79.4%)
Mistral AI

No standout differentiators in the data we have for this pair.

Detailed Comparison

Interactive Arena

Judge for yourself.

Run your own prompts against Llama 4 Scout and Ministral 3 (14B Base 2512) side-by-side, then vote on the output you prefer.

Llama 4 Scout
✓ Preferred
Ministral 3 (14B Base 2512)
Open in Playground
AI Model Comparison Table
Feature
Meta
Llama 4 Scout
Mistral AI
Ministral 3 (14B Base 2512)

FAQ

Common questions about Llama 4 Scout vs Ministral 3 (14B Base 2512).

Which is better, Llama 4 Scout or Ministral 3 (14B Base 2512)?

Llama 4 Scout significantly outperforms across most benchmarks. Llama 4 Scout is made by Meta and Ministral 3 (14B Base 2512) is made by Mistral AI. The best choice depends on your use case — compare their benchmark scores, pricing, and capabilities above.

How does Llama 4 Scout compare to Ministral 3 (14B Base 2512) in benchmarks?

Llama 4 Scout scores DocVQA: 94.4%, MGSM: 90.6%, ChartQA: 88.8%, MMLU: 79.6%, MMLU-Pro: 74.3%. Ministral 3 (14B Base 2512) scores MMLU-Redux: 82.0%, MMLU: 79.4%, TriviaQA: 74.9%, Multilingual MMLU: 74.2%, MATH (CoT): 67.6%.

What are the context window sizes for Llama 4 Scout and Ministral 3 (14B Base 2512)?

Llama 4 Scout supports 10.0M tokens and Ministral 3 (14B Base 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 Llama 4 Scout and Ministral 3 (14B Base 2512)?

Key differences include licensing (Llama 4 Community License Agreement vs Apache 2.0). See the full comparison above for benchmark-by-benchmark results.

Who makes Llama 4 Scout and Ministral 3 (14B Base 2512)?

Llama 4 Scout is developed by Meta and Ministral 3 (14B Base 2512) is developed by Mistral AI.

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