Model Comparison

Command R+ vs DeepSeek-V2.5

DeepSeek-V2.5 significantly outperforms across most benchmarks. DeepSeek-V2.5 is 2.5x cheaper per token.

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Performance Benchmarks

Comparative analysis across standard metrics

2 benchmarks

Command R+ outperforms in 0 benchmarks, while DeepSeek-V2.5 is better at 2 benchmarks (GSM8k, MMLU).

DeepSeek-V2.5 significantly outperforms across most benchmarks.

Fri Apr 17 2026 • llm-stats.com

Arena Performance

Human preference votes

Pricing Analysis

Price comparison per million tokens

DeepSeek-V2.5 costs less

For input processing, Command R+ ($0.25/1M tokens) is 1.8x more expensive than DeepSeek-V2.5 ($0.14/1M tokens).

For output processing, Command R+ ($1.00/1M tokens) is 3.6x more expensive than DeepSeek-V2.5 ($0.28/1M tokens).

In conclusion, Command R+ is more expensive than DeepSeek-V2.5.*

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

Lowest available price from all providers
Fri Apr 17 2026 • llm-stats.com
Cohere
Command R+
Input tokens$0.25
Output tokens$1.00
Best providerCohere
DeepSeek
DeepSeek-V2.5
Input tokens$0.14
Output tokens$0.28
Best providerDeepSeek
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Model Size

Parameter count comparison

132.0B diff

DeepSeek-V2.5 has 132.0B more parameters than Command R+, making it 126.9% larger.

Cohere
Command R+
104.0Bparameters
DeepSeek
DeepSeek-V2.5
236.0Bparameters
104.0B
Command R+
236.0B
DeepSeek-V2.5

Context Window

Maximum input and output token capacity

Command R+ accepts 128,000 input tokens compared to DeepSeek-V2.5's 8,192 tokens. Command R+ can generate longer responses up to 128,000 tokens, while DeepSeek-V2.5 is limited to 8,192 tokens.

Cohere
Command R+
Input128,000 tokens
Output128,000 tokens
DeepSeek
DeepSeek-V2.5
Input8,192 tokens
Output8,192 tokens
Fri Apr 17 2026 • llm-stats.com

License

Usage and distribution terms

Command R+ is licensed under CC BY-NC, while DeepSeek-V2.5 uses deepseek.

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

Command R+

CC BY-NC

Open weights

DeepSeek-V2.5

deepseek

Open weights

Release Timeline

When each model was launched

Command R+ was released on 2024-08-30, while DeepSeek-V2.5 was released on 2024-05-08.

Command R+ is 4 months newer than DeepSeek-V2.5.

Command R+

Aug 30, 2024

1.6 years ago

3mo newer
DeepSeek-V2.5

May 8, 2024

1.9 years ago

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-V2.5 is available from DeepSeek, DeepInfra, Hyperbolic.

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-V2.5

deepseek logo
DeepSeek
Input Price:Input: $0.14/1MOutput Price:Output: $0.28/1M
deepinfra logo
Deepinfra
Input Price:Input: $0.70/1MOutput Price:Output: $1.40/1M
hyperbolic logo
Hyperbolic
Input Price:Input: $2.00/1MOutput Price:Output: $2.00/1M
* Prices shown are per million tokens

Outputs Comparison

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Key Takeaways

Cohere
Larger context window (128,000 tokens)
DeepSeek
Less expensive input tokens
Less expensive output tokens
Higher GSM8k score (95.1% vs 70.7%)
Higher MMLU score (80.4% vs 75.7%)

Detailed Comparison

AI Model Comparison Table
Feature
Cohere
Command R+
DeepSeek
DeepSeek-V2.5

FAQ

Common questions about Command R+ vs DeepSeek-V2.5

DeepSeek-V2.5 significantly outperforms across most benchmarks. Command R+ is made by Cohere and DeepSeek-V2.5 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-V2.5 scores GSM8k: 95.1%, MT-Bench: 90.2%, HumanEval: 89.0%, BBH: 84.3%, AlignBench: 80.4%.
DeepSeek-V2.5 is 1.8x cheaper for input tokens. Command R+ costs $0.25/M input and $1.00/M output via cohere. DeepSeek-V2.5 costs $0.14/M input and $0.28/M output via deepseek.
Command R+ supports 128K tokens and DeepSeek-V2.5 supports 8K tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.
Key differences include context window (128K vs 8K), input pricing ($0.25 vs $0.14/M), licensing (CC BY-NC vs deepseek). See the full comparison above for benchmark-by-benchmark results.
Command R+ is developed by Cohere and DeepSeek-V2.5 is developed by DeepSeek.