Model Comparison

Command R+ vs DeepSeek-V3

DeepSeek-V3 significantly outperforms across most benchmarks. Command R+ is 1.1x cheaper per token.

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Performance Benchmarks

Comparative analysis across standard metrics

1 benchmarks

Command R+ outperforms in 0 benchmarks, while DeepSeek-V3 is better at 1 benchmark (MMLU).

DeepSeek-V3 significantly outperforms across most benchmarks.

Fri Apr 03 2026 • llm-stats.com

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 1.1x cheaper than DeepSeek-V3 ($0.27/1M tokens).

For output processing, Command R+ ($1.00/1M tokens) is 1.1x cheaper than DeepSeek-V3 ($1.10/1M tokens).

In conclusion, DeepSeek-V3 is more expensive than Command R+.*

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

Lowest available price from all providers
Fri Apr 03 2026 • llm-stats.com
Cohere
Command R+
Input tokens$0.25
Output tokens$1.00
Best providerCohere
DeepSeek
DeepSeek-V3
Input tokens$0.27
Output tokens$1.10
Best providerDeepSeek
Notice missing or incorrect data?Start an Issue→

Model Size

Parameter count comparison

567.0B diff

DeepSeek-V3 has 567.0B more parameters than Command R+, making it 545.2% larger.

Cohere
Command R+
104.0Bparameters
DeepSeek
DeepSeek-V3
671.0Bparameters
104.0B
Command R+
671.0B
DeepSeek-V3

Context Window

Maximum input and output token capacity

DeepSeek-V3 accepts 131,072 input tokens compared to Command R+'s 128,000 tokens. DeepSeek-V3 can generate longer responses up to 131,072 tokens, while Command R+ is limited to 128,000 tokens.

Cohere
Command R+
Input128,000 tokens
Output128,000 tokens
DeepSeek
DeepSeek-V3
Input131,072 tokens
Output131,072 tokens
Fri Apr 03 2026 • llm-stats.com

License

Usage and distribution terms

Command R+ is licensed under CC BY-NC, while DeepSeek-V3 uses MIT + Model License (Commercial use allowed).

License differences may affect how you can use these models in commercial or open-source projects.

Command R+

CC BY-NC

Open weights

DeepSeek-V3

MIT + Model License (Commercial use allowed)

Open weights

Release Timeline

When each model was launched

Command R+ was released on 2024-08-30, while DeepSeek-V3 was released on 2024-12-25.

DeepSeek-V3 is 4 months newer than Command R+.

Command R+

Aug 30, 2024

1.6 years ago

DeepSeek-V3

Dec 25, 2024

1.3 years ago

3mo 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. DeepSeek-V3 is available from DeepSeek.

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

DeepSeek-V3

deepseek logo
DeepSeek
Input Price:Input: $0.27/1MOutput Price:Output: $1.10/1M
* Prices shown are per million tokens

Outputs Comparison

Notice missing or incorrect data?Start an Issue discussion→

Key Takeaways

Cohere
Less expensive input tokens
Less expensive output tokens
DeepSeek
Larger context window (131,072 tokens)
Higher MMLU score (88.5% vs 75.7%)

Detailed Comparison

AI Model Comparison Table
Feature
Cohere
Command R+
DeepSeek
DeepSeek-V3

FAQ

Common questions about Command R+ vs DeepSeek-V3

DeepSeek-V3 significantly outperforms across most benchmarks. Command R+ is made by Cohere and DeepSeek-V3 is made by DeepSeek. 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%. DeepSeek-V3 scores DROP: 91.6%, CLUEWSC: 90.9%, MATH-500: 90.2%, MMLU-Redux: 89.1%, MMLU: 88.5%.
Command R+ is 1.1x cheaper for input tokens. Command R+ costs $0.25/M input and $1.00/M output via cohere. DeepSeek-V3 costs $0.27/M input and $1.10/M output via deepseek.
Command R+ supports 128K tokens and DeepSeek-V3 supports 131K tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.
Key differences include context window (128K vs 131K), input pricing ($0.25 vs $0.27/M), licensing (CC BY-NC vs MIT + Model License (Commercial use allowed)). See the full comparison above for benchmark-by-benchmark results.
Command R+ is developed by Cohere and DeepSeek-V3 is developed by DeepSeek.