Model Comparison

Ministral 3 (3B Base 2512) vs Mistral Small 3 24B Instruct

Comparing Ministral 3 (3B Base 2512) and Mistral Small 3 24B Instruct across benchmarks, pricing, and capabilities.

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Performance Benchmarks

Comparative analysis across standard metrics

No common benchmarks found

Ministral 3 (3B Base 2512) and Mistral Small 3 24B Instruct 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
Fri May 01 2026 • llm-stats.com
Mistral AI
Ministral 3 (3B Base 2512)
Input tokens$0.00
Output tokens$0.00
Best providerUnknown Organization
Mistral AI
Mistral Small 3 24B Instruct
Input tokens$0.07
Output tokens$0.14
Best providerDeepinfra
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Model Size

Parameter count comparison

21.0B diff

Mistral Small 3 24B Instruct has 21.0B more parameters than Ministral 3 (3B Base 2512), making it 700.0% larger.

Mistral AI
Ministral 3 (3B Base 2512)
3.0Bparameters
Mistral AI
Mistral Small 3 24B Instruct
24.0Bparameters
3.0B
Ministral 3 (3B Base 2512)
24.0B
Mistral Small 3 24B Instruct

Context Window

Maximum input and output token capacity

Only Mistral Small 3 24B Instruct specifies input context (32,000 tokens). Only Mistral Small 3 24B Instruct specifies output context (32,000 tokens).

Mistral AI
Ministral 3 (3B Base 2512)
Input- tokens
Output- tokens
Mistral AI
Mistral Small 3 24B Instruct
Input32,000 tokens
Output32,000 tokens
Fri May 01 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

Ministral 3 (3B Base 2512) supports multimodal inputs, whereas Mistral Small 3 24B Instruct does not.

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

Ministral 3 (3B Base 2512)

Text
Images
Audio
Video

Mistral Small 3 24B Instruct

Text
Images
Audio
Video

License

Usage and distribution terms

Both models are licensed under Apache 2.0.

Both models share the same licensing terms, providing consistent usage rights.

Ministral 3 (3B Base 2512)

Apache 2.0

Open weights

Mistral Small 3 24B Instruct

Apache 2.0

Open weights

Release Timeline

When each model was launched

Ministral 3 (3B Base 2512) was released on 2025-12-04, while Mistral Small 3 24B Instruct was released on 2025-01-30.

Ministral 3 (3B Base 2512) is 10 months newer than Mistral Small 3 24B Instruct.

Ministral 3 (3B Base 2512)

Dec 4, 2025

4 months ago

10mo newer
Mistral Small 3 24B Instruct

Jan 30, 2025

1.2 years ago

Knowledge Cutoff

When training data ends

Mistral Small 3 24B Instruct has a documented knowledge cutoff of 2023-10-01, while Ministral 3 (3B Base 2512)'s cutoff date is not specified.

We can confirm Mistral Small 3 24B Instruct's training data extends to 2023-10-01, but cannot make a direct comparison without Ministral 3 (3B Base 2512)'s cutoff date.

Ministral 3 (3B Base 2512)

—

Mistral Small 3 24B Instruct

Oct 2023

Outputs Comparison

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Key Takeaways

Mistral AI
Supports multimodal inputs
Mistral AI
Larger context window (32,000 tokens)

Detailed Comparison

AI Model Comparison Table
Feature
Mistral AI
Ministral 3 (3B Base 2512)
Mistral AI
Mistral Small 3 24B Instruct

FAQ

Common questions about Ministral 3 (3B Base 2512) vs Mistral Small 3 24B Instruct

Ministral 3 (3B Base 2512) (Mistral AI) and Mistral Small 3 24B Instruct (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 (3B Base 2512) scores MMLU-Redux: 73.5%, MMLU: 70.7%, Multilingual MMLU: 65.2%, MATH (CoT): 60.1%, TriviaQA: 59.2%. Mistral Small 3 24B Instruct scores Arena Hard: 87.6%, HumanEval: 84.8%, MT-Bench: 83.5%, IFEval: 82.9%, MATH: 70.6%.
Ministral 3 (3B Base 2512) supports an unknown number of tokens and Mistral Small 3 24B Instruct supports 32K 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). See the full comparison above for benchmark-by-benchmark results.