Model Comparison

Command R+ vs Mistral Small 3.1 24B Base

Mistral Small 3.1 24B Base significantly outperforms across most benchmarks. Mistral Small 3.1 24B Base is 2.9x cheaper per token.

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Performance Benchmarks

Comparative analysis across standard metrics

1 benchmarks

Command R+ outperforms in 0 benchmarks, while Mistral Small 3.1 24B Base is better at 1 benchmark (MMLU).

Mistral Small 3.1 24B Base significantly outperforms across most benchmarks.

Sat Mar 28 2026 • llm-stats.com

Arena Performance

Human preference votes

Pricing Analysis

Price comparison per million tokens

Mistral Small 3.1 24B Base costs less

For input processing, Command R+ ($0.25/1M tokens) is 2.5x more expensive than Mistral Small 3.1 24B Base ($0.10/1M tokens).

For output processing, Command R+ ($1.00/1M tokens) is 3.3x more expensive than Mistral Small 3.1 24B Base ($0.30/1M tokens).

In conclusion, Command R+ is more expensive than Mistral Small 3.1 24B Base.*

* Using a 3:1 ratio of input to output tokens

Lowest available price from all providers
Sat Mar 28 2026 • llm-stats.com
Cohere
Command R+
Input tokens$0.25
Output tokens$1.00
Best providerCohere
Mistral AI
Mistral Small 3.1 24B Base
Input tokens$0.10
Output tokens$0.30
Best providerMistral
Notice missing or incorrect data?Start an Issue→

Model Size

Parameter count comparison

80.0B diff

Command R+ has 80.0B more parameters than Mistral Small 3.1 24B Base, making it 333.3% larger.

Cohere
Command R+
104.0Bparameters
Mistral AI
Mistral Small 3.1 24B Base
24.0Bparameters
104.0B
Command R+
24.0B
Mistral Small 3.1 24B Base

Context Window

Maximum input and output token capacity

Both models have the same input context window of 128,000 tokens. Both models can generate responses up to 128,000 tokens.

Cohere
Command R+
Input128,000 tokens
Output128,000 tokens
Mistral AI
Mistral Small 3.1 24B Base
Input128,000 tokens
Output128,000 tokens
Sat Mar 28 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

Mistral Small 3.1 24B Base supports multimodal inputs, whereas Command R+ does not.

Mistral Small 3.1 24B Base can handle both text and other forms of data like images, making it suitable for multimodal applications.

Command R+

Text
Images
Audio
Video

Mistral Small 3.1 24B Base

Text
Images
Audio
Video

License

Usage and distribution terms

Command R+ is licensed under CC BY-NC, while Mistral Small 3.1 24B Base 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

Mistral Small 3.1 24B Base

Apache 2.0

Open weights

Release Timeline

When each model was launched

Command R+ was released on 2024-08-30, while Mistral Small 3.1 24B Base was released on 2025-03-17.

Mistral Small 3.1 24B Base is 7 months newer than Command R+.

Command R+

Aug 30, 2024

1.6 years ago

Mistral Small 3.1 24B Base

Mar 17, 2025

1.0 years ago

6mo 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

Provider Availability

Command R+ is available from Cohere, Bedrock. Mistral Small 3.1 24B Base is available from Mistral AI.

Command R+

cohere logo
Cohere
Input Price:Input: $0.25/1MOutput Price:Output: $1.00/1M
bedrock logo
AWS Bedrock
Input Price:Input: $3.00/1MOutput Price:Output: $15.00/1M

Mistral Small 3.1 24B Base

mistral logo
Mistral
Input Price:Input: $0.10/1MOutput Price:Output: $0.30/1M
* Prices shown are per million tokens

Outputs Comparison

Notice missing or incorrect data?Start an Issue discussion→

Key Takeaways

Cohere
Mistral AI
Supports multimodal inputs
Less expensive input tokens
Less expensive output tokens
Higher MMLU score (81.0% vs 75.7%)

Detailed Comparison

AI Model Comparison Table
Feature
Cohere
Command R+
Mistral AI
Mistral Small 3.1 24B Base

FAQ

Common questions about Command R+ vs Mistral Small 3.1 24B Base

Mistral Small 3.1 24B Base significantly outperforms across most benchmarks. Command R+ is made by Cohere and Mistral Small 3.1 24B Base is made by Mistral AI. The best choice depends on your use case — compare their benchmark scores, pricing, and capabilities above.
Command R+ scores HellaSwag: 88.6%, Winogrande: 85.4%, MMLU: 75.7%, ARC-C: 71.0%, GSM8k: 70.7%. Mistral Small 3.1 24B Base scores MMLU: 81.0%, TriviaQA: 80.5%, MMMU: 59.3%, MMLU-Pro: 56.0%, GPQA: 37.5%.
Mistral Small 3.1 24B Base is 2.5x cheaper for input tokens. Command R+ costs $0.25/M input and $1.00/M output via cohere. Mistral Small 3.1 24B Base costs $0.10/M input and $0.30/M output via mistral.
Command R+ supports 128K tokens and Mistral Small 3.1 24B Base supports 128K tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.
Key differences include input pricing ($0.25 vs $0.10/M), 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 Mistral Small 3.1 24B Base is developed by Mistral AI.