Model Comparison

Command R+ vs Mistral Large 3

Comparing Command R+ and Mistral Large 3 across benchmarks, pricing, and capabilities.

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Performance Benchmarks

Comparative analysis across standard metrics

No common benchmarks found

Command R+ and Mistral Large 3 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

Command R+ costs less

For input processing, Command R+ ($0.25/1M tokens) is 8.0x cheaper than Mistral Large 3 ($2.00/1M tokens).

For output processing, Command R+ ($1.00/1M tokens) is 5.0x cheaper than Mistral Large 3 ($5.00/1M tokens).

In conclusion, Mistral Large 3 is more expensive than Command R+.*

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

Lowest available price from all providers
Tue Apr 14 2026 • llm-stats.com
Cohere
Command R+
Input tokens$0.25
Output tokens$1.00
Best providerCohere
Mistral AI
Mistral Large 3
Input tokens$2.00
Output tokens$5.00
Best providerMistral
Notice missing or incorrect data?Start an Issue→

Model Size

Parameter count comparison

571.0B diff

Mistral Large 3 has 571.0B more parameters than Command R+, making it 549.0% larger.

Cohere
Command R+
104.0Bparameters
Mistral AI
Mistral Large 3
675.0Bparameters
104.0B
Command R+
675.0B
Mistral Large 3

Context Window

Maximum input and output token capacity

Both models have the same input context window of 128,000 tokens. Command R+ can generate longer responses up to 128,000 tokens, while Mistral Large 3 is limited to 8,192 tokens.

Cohere
Command R+
Input128,000 tokens
Output128,000 tokens
Mistral AI
Mistral Large 3
Input128,000 tokens
Output8,192 tokens
Tue Apr 14 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

Mistral Large 3 supports multimodal inputs, whereas Command R+ does not.

Mistral Large 3 can handle both text and other forms of data like images, making it suitable for multimodal applications.

Command R+

Text
Images
Audio
Video

Mistral Large 3

Text
Images
Audio
Video

License

Usage and distribution terms

Command R+ is licensed under CC BY-NC, while Mistral Large 3 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 Large 3

Apache 2.0

Open weights

Release Timeline

When each model was launched

Command R+ was released on 2024-08-30, while Mistral Large 3 was released on 2025-09-01.

Mistral Large 3 is 12 months newer than Command R+.

Command R+

Aug 30, 2024

1.6 years ago

Mistral Large 3

Sep 1, 2025

7 months ago

1.0yr 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 Large 3 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 Large 3

mistral logo
Mistral
Input Price:Input: $2.00/1MOutput Price:Output: $5.00/1M
* Prices shown are per million tokens

Outputs Comparison

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Key Takeaways

Cohere
Less expensive input tokens
Less expensive output tokens
Mistral AI
Supports multimodal inputs

Detailed Comparison

AI Model Comparison Table
Feature
Cohere
Command R+
Mistral AI
Mistral Large 3

FAQ

Common questions about Command R+ vs Mistral Large 3

Command R+ (Cohere) and Mistral Large 3 (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%. Mistral Large 3 scores MATH: 90.4%, MM-MT-Bench: 84.9%, MMLU-Redux: 82.0%, TriviaQA: 74.9%, MMMLU: 74.2%.
Command R+ is 8.0x cheaper for input tokens. Command R+ costs $0.25/M input and $1.00/M output via cohere. Mistral Large 3 costs $2.00/M input and $5.00/M output via mistral.
Command R+ supports 128K tokens and Mistral Large 3 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 $2.00/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 Large 3 is developed by Mistral AI.