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Command R+ vs Ministral 3 (8B Base 2512)

Command R+ and Ministral 3 (8B Base 2512) are closely matched at -0.5 and -1.1 on the LLM Stats Score.

Cohere · Mistral AI · Updated for 2026

Which is better?

Command R+ and Ministral 3 (8B Base 2512) are closely matched on the overall LLM Stats Score at -0.5 and -1.1.

In the 1 individual benchmarks reported for both models, Ministral 3 (8B Base 2512) 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 Command R+

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

Choose Ministral 3 (8B Base 2512)

  • you value its reported benchmark strengths — it wins 1 of 1 exact shared results
  • you want the most recent training data — it shipped Dec 2025

At a glance

The differences that matter most.

Core performance indexes
-0.5
#336
-1.1
#341
-0.8
#332
-1.2
#335
Cost, coverage & limits
Benchmark wins
0 of 1
1 of 1
Input price
$0.25 / M
— / M
Output price
$1.00 / M
— / M
Context window
128,000
—

Capability indexes

Additional strengths measured across groups of related public benchmarks

2 shared
Index
Command R+
Ministral 3 (8B Base 2512)
-2.2#310
4.2#287
1.3#178
4.2#165
Conservative TrueSkill rating · higher is betterHow scores work

Individual benchmarks

6 reported for Command R+ · 6 for Ministral 3 (8B Base 2512)

1 shared

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.

Thu Oct 01 2026 • llm-stats.com

Human preference

Blind head-to-head votes and playground preference scores

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
Thu Oct 01 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

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

2.1 years ago

Ministral 3 (8B Base 2512)

Dec 4, 2025

10 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?

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

FAQ

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

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

Command R+ and Ministral 3 (8B Base 2512) are closely matched on the LLM Stats Score at -0.5 and -1.1. 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 capability indexes, individual benchmarks, pricing, and limits 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 LLM Stats Score (-0.5 vs -1.1), 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.