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Llama 4 Scout vs Ministral 3 (14B Base 2512)

Llama 4 Scout and Ministral 3 (14B Base 2512) are closely matched at 7.8 and 3.6 on the LLM Stats Score.

Meta · Mistral AI · Updated for 2026

Which is better?

Llama 4 Scout and Ministral 3 (14B Base 2512) are closely matched on the overall LLM Stats Score at 7.8 and 3.6.

In the 1 individual benchmarks reported for both models, Llama 4 Scout wins 1; this is a narrower head-to-head signal than the composite indexes.

Based on current LLM Stats indexes, shared benchmarks, pricing, and model metadata for 2026.

Choose Llama 4 Scout

  • you value its reported benchmark strengths — it wins 1 of 1 exact shared results

Choose Ministral 3 (14B Base 2512)

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

At a glance

The differences that matter most.

Llama 4 Scout
Meta
Ministral 3 (14B Base 2512)
Mistral AI
Core performance indexes
LLM Stats Score
7.8
#283
3.6
#308
Reasoning
6.6
#286
3.5
#300
Cost, coverage & limits
Benchmark wins
1 of 1
0 of 1
Input price
$0.08 / M
— / M
Output price
$0.30 / M
— / M
Context window
10,000,000
—

Capability indexes

Additional strengths measured across groups of related public benchmarks

2 shared
Index
Llama 4 Scout
Ministral 3 (14B Base 2512)
Math
12.8#232
8.8#256
Legal
10.2#128
7.6#141
Conservative TrueSkill rating · higher is betterHow scores work

Individual benchmarks

12 reported for Llama 4 Scout · 6 for Ministral 3 (14B Base 2512)

1 shared

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 Sep 15 2026 • llm-stats.com

Human preference

Blind head-to-head votes and playground preference scores

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 Sep 15 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

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

1.4 years ago

Ministral 3 (14B Base 2512)

Dec 4, 2025

9 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→

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

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 and Ministral 3 (14B Base 2512) are closely matched on the LLM Stats Score at 7.8 and 3.6. 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 capability indexes, individual benchmarks, pricing, and limits 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 LLM Stats Score (7.8 vs 3.6), 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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