Model Comparison

Ministral 3 (14B Base 2512) vs Mistral Small

Comparing Ministral 3 (14B Base 2512) and Mistral Small across benchmarks, pricing, and capabilities.

Want to compare interactively?Try the playground

Performance Benchmarks

Comparative analysis across standard metrics

No common benchmarks found

Ministral 3 (14B Base 2512) and Mistral Small don't have any common benchmark datasets to compare. They may have been evaluated on different testing suites.

Arena Performance

Human preference votes

Pricing Analysis

Price comparison per million tokens

Cost data unavailable.

Lowest available price from all providers
Mon Apr 13 2026 • llm-stats.com
Mistral AI
Ministral 3 (14B Base 2512)
Input tokens$0.00
Output tokens$0.00
Best providerUnknown Organization
Mistral AI
Mistral Small
Input tokens$0.20
Output tokens$0.60
Best providerMistral
Notice missing or incorrect data?Start an Issue→

Model Size

Parameter count comparison

8.0B diff

Mistral Small has 8.0B more parameters than Ministral 3 (14B Base 2512), making it 57.1% larger.

Mistral AI
Ministral 3 (14B Base 2512)
14.0Bparameters
Mistral AI
Mistral Small
22.0Bparameters
14.0B
Ministral 3 (14B Base 2512)
22.0B
Mistral Small

Context Window

Maximum input and output token capacity

Only Mistral Small specifies input context (32,768 tokens). Only Mistral Small specifies output context (32,768 tokens).

Mistral AI
Ministral 3 (14B Base 2512)
Input- tokens
Output- tokens
Mistral AI
Mistral Small
Input32,768 tokens
Output32,768 tokens
Mon Apr 13 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

Ministral 3 (14B Base 2512) supports multimodal inputs, whereas Mistral Small does not.

Ministral 3 (14B Base 2512) can handle both text and other forms of data like images, making it suitable for multimodal applications.

Ministral 3 (14B Base 2512)

Text
Images
Audio
Video

Mistral Small

Text
Images
Audio
Video

License

Usage and distribution terms

Ministral 3 (14B Base 2512) is licensed under Apache 2.0, while Mistral Small uses Mistral Research License.

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

Ministral 3 (14B Base 2512)

Apache 2.0

Open weights

Mistral Small

Mistral Research License

Open weights

Release Timeline

When each model was launched

Ministral 3 (14B Base 2512) was released on 2025-12-04, while Mistral Small was released on 2024-09-17.

Ministral 3 (14B Base 2512) is 15 months newer than Mistral Small.

Ministral 3 (14B Base 2512)

Dec 4, 2025

4 months ago

1.2yr newer
Mistral Small

Sep 17, 2024

1.6 years ago

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

Mistral AI
Supports multimodal inputs
Mistral AI
Larger context window (32,768 tokens)

Detailed Comparison

AI Model Comparison Table
Feature
Mistral AI
Ministral 3 (14B Base 2512)
Mistral AI
Mistral Small

FAQ

Common questions about Ministral 3 (14B Base 2512) vs Mistral Small

Ministral 3 (14B Base 2512) (Mistral AI) and Mistral Small (Mistral AI) each have strengths in different areas. Compare their benchmark scores, pricing, context windows, and capabilities above to determine which fits your needs.
Ministral 3 (14B Base 2512) scores MMLU-Redux: 82.0%, MMLU: 79.4%, TriviaQA: 74.9%, Multilingual MMLU: 74.2%, MATH (CoT): 67.6%.
Ministral 3 (14B Base 2512) supports an unknown number of tokens and Mistral Small supports 33K tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.
Key differences include multimodal support (yes vs no), licensing (Apache 2.0 vs Mistral Research License). See the full comparison above for benchmark-by-benchmark results.