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Model Comparison

Command R+ vs Ministral 3 (8B Base 2512)Which is better in 2026?

Ministral 3 (8B Base 2512) significantly outperforms across most benchmarks.

Verdict: Command R+ vs Ministral 3 (8B Base 2512) — which is better?

Command R+ (by Cohere) and Ministral 3 (8B 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.

Command R+ outperforms in 0 benchmarks, while Ministral 3 (8B Base 2512) is better at 1 benchmark (MMLU). Ministral 3 (8B Base 2512) significantly outperforms across most benchmarks.

Choose Command R+ if…

  • you want predictable pricing at $0.25/M input and $1.00/M output

Choose Ministral 3 (8B Base 2512) if…

  • you want the strongest raw capability — it leads on 1 of 1 shared benchmarks
  • you want the most recent training data — it shipped Dec 2025

Performance Benchmarks

Comparative analysis across standard metrics

1 benchmarks

Command R+ outperforms in 0 benchmarks, while Ministral 3 (8B Base 2512) is better at 1 benchmark (MMLU).

Ministral 3 (8B Base 2512) significantly outperforms across most benchmarks.

Fri Aug 07 2026 • llm-stats.com

Arena Performance

Human preference votes

Model Size

Parameter count comparison

96.0B diff

Command R+ has 96.0B more parameters than Ministral 3 (8B Base 2512), making it 1200.0% larger.

Cohere
Command R+
104.0Bparameters
Mistral AI
Ministral 3 (8B Base 2512)
8.0Bparameters
104.0B
Command R+
8.0B
Ministral 3 (8B Base 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 (8B Base 2512)
Input- tokens
Output- tokens
Fri Aug 07 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

Ministral 3 (8B Base 2512) supports multimodal inputs, whereas Command R+ does not.

Ministral 3 (8B Base 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 (8B Base 2512)

Text
Images
Audio
Video

License

Usage and distribution terms

Command R+ is licensed under CC BY-NC, while Ministral 3 (8B Base 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 (8B Base 2512)

Apache 2.0

Open weights

Release Timeline

When each model was launched

Command R+ was released on 2024-08-30, while Ministral 3 (8B Base 2512) was released on 2025-12-04.

Ministral 3 (8B Base 2512) is 15 months newer than Command R+.

Command R+

Aug 30, 2024

1.9 years ago

Ministral 3 (8B Base 2512)

Dec 4, 2025

8 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

Notice missing or incorrect data?Start an Issue discussion→

Key Takeaways

Cohere
Larger context window (128,000 tokens)
Mistral AI
Supports multimodal inputs
Higher MMLU score (76.1% vs 75.7%)

Detailed Comparison

Interactive Arena

Judge for yourself.

Run your own prompts against Command R+ and Ministral 3 (8B Base 2512) side-by-side, then vote on the output you prefer.

Command R+
✓ Preferred
Ministral 3 (8B Base 2512)
Open in Playground
AI Model Comparison Table
Feature
Cohere
Command R+
Mistral AI
Ministral 3 (8B Base 2512)

FAQ

Common questions about Command R+ vs Ministral 3 (8B Base 2512).

Which is better, Command R+ or Ministral 3 (8B Base 2512)?

Ministral 3 (8B Base 2512) significantly outperforms across most benchmarks. Command R+ is made by Cohere and Ministral 3 (8B 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 Command R+ compare to Ministral 3 (8B Base 2512) in benchmarks?

Command R+ scores HellaSwag: 88.6%, Winogrande: 85.4%, MMLU: 75.7%, ARC-C: 71.0%, GSM8k: 70.7%. Ministral 3 (8B Base 2512) scores MMLU-Redux: 79.3%, MMLU: 76.1%, Multilingual MMLU: 70.6%, TriviaQA: 68.1%, MATH (CoT): 62.6%.

What are the context window sizes for Command R+ and Ministral 3 (8B Base 2512)?

Command R+ supports 128K tokens and Ministral 3 (8B 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 Command R+ and Ministral 3 (8B Base 2512)?

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.

Who makes Command R+ and Ministral 3 (8B Base 2512)?

Command R+ is developed by Cohere and Ministral 3 (8B Base 2512) is developed by Mistral AI.

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