Model Comparison

Command R+ vs MiniStral 3 (14B Instruct 2512)

Comparing Command R+ and MiniStral 3 (14B Instruct 2512) across benchmarks, pricing, and capabilities.

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Performance Benchmarks

Comparative analysis across standard metrics

No common benchmarks found

Command R+ and MiniStral 3 (14B Instruct 2512) 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
Thu Apr 16 2026 • llm-stats.com
Cohere
Command R+
Input tokens$0.25
Output tokens$1.00
Best providerCohere
Mistral AI
MiniStral 3 (14B Instruct 2512)
Input tokens$0.00
Output tokens$0.00
Best providerUnknown Organization
Notice missing or incorrect data?Start an Issue→

Model Size

Parameter count comparison

90.0B diff

Command R+ has 90.0B more parameters than MiniStral 3 (14B Instruct 2512), making it 642.9% larger.

Cohere
Command R+
104.0Bparameters
Mistral AI
MiniStral 3 (14B Instruct 2512)
14.0Bparameters
104.0B
Command R+
14.0B
MiniStral 3 (14B Instruct 2512)

Context Window

Maximum input and output token capacity

Only Command R+ specifies input context (128,000 tokens). Only Command R+ specifies output context (128,000 tokens).

Cohere
Command R+
Input128,000 tokens
Output128,000 tokens
Mistral AI
MiniStral 3 (14B Instruct 2512)
Input- tokens
Output- tokens
Thu Apr 16 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

MiniStral 3 (14B Instruct 2512) supports multimodal inputs, whereas Command R+ does not.

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

Command R+

Text
Images
Audio
Video

MiniStral 3 (14B Instruct 2512)

Text
Images
Audio
Video

License

Usage and distribution terms

Command R+ is licensed under CC BY-NC, 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.

Command R+

CC BY-NC

Open weights

MiniStral 3 (14B Instruct 2512)

Apache 2.0

Open weights

Release Timeline

When each model was launched

Command R+ was released on 2024-08-30, while MiniStral 3 (14B Instruct 2512) was released on 2025-12-04.

MiniStral 3 (14B Instruct 2512) is 15 months newer than Command R+.

Command R+

Aug 30, 2024

1.6 years ago

MiniStral 3 (14B Instruct 2512)

Dec 4, 2025

4 months ago

1.3yr 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

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Key Takeaways

Cohere
Larger context window (128,000 tokens)
Mistral AI
Supports multimodal inputs

Detailed Comparison

AI Model Comparison Table
Feature
Cohere
Command R+
Mistral AI
MiniStral 3 (14B Instruct 2512)

FAQ

Common questions about Command R+ vs MiniStral 3 (14B Instruct 2512)

Command R+ (Cohere) and MiniStral 3 (14B Instruct 2512) (Mistral AI) each have strengths in different areas. Compare their benchmark scores, pricing, context windows, and capabilities above to determine which fits your needs.
Command R+ scores HellaSwag: 88.6%, Winogrande: 85.4%, MMLU: 75.7%, ARC-C: 71.0%, GSM8k: 70.7%. MiniStral 3 (14B Instruct 2512) scores MATH: 90.4%, Wild Bench: 68.5%, Arena Hard: 55.1%, MM-MT-Bench: 8.5%.
Command R+ 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.
Key differences include multimodal support (no vs yes), licensing (CC BY-NC vs Apache 2.0). See the full comparison above for benchmark-by-benchmark results.
Command R+ is developed by Cohere and MiniStral 3 (14B Instruct 2512) is developed by Mistral AI.