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Command R+ vs DeepSeek-V3

DeepSeek-V3 leads the LLM Stats Score 15.8 to -0.1. Command R+ is 1.1x cheaper per token.

Cohere · DeepSeek · Updated for 2026

Which is better?

DeepSeek-V3 leads the overall LLM Stats Score 15.8 to -0.1, ranking #211 overall.

In the 1 individual benchmarks reported for both models, DeepSeek-V3 wins 1; this is a narrower head-to-head signal than the composite indexes.

On price, Command R+ is roughly 1.1x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.

DeepSeek-V3 also accepts a larger context window (131,072 input tokens), making it the stronger choice for long documents and large codebases.

Based on current LLM Stats indexes, shared benchmarks, pricing, and model metadata for 2026.

Choose Command R+

  • cost matters — it's about 1.1x cheaper per token

Choose DeepSeek-V3

  • overall performance matters — it scores 15.8 and ranks #211 on LLM Stats
  • your work emphasizes reasoning — it leads those capability indexes
  • you value its reported benchmark strengths — it wins 1 of 1 exact shared results
  • you process long inputs — it offers a 131,072 token context window
  • you want the most recent training data — it shipped Dec 2024

At a glance

The differences that matter most.

Command R+
Cohere
DeepSeek-V3
DeepSeek
Core performance indexes
LLM Stats Score
-0.1
#310
15.8
#211
Reasoning
-0.4
#306
14.9
#213
Cost, coverage & limits
Benchmark wins
0 of 1
1 of 1
Input price
$0.25 / M
$0.27 / M
Output price
$1.00 / M
$1.10 / M
Context window
128,000
131,072

Capability indexes

Additional strengths measured across groups of related public benchmarks

3 shared
Index
Command R+
DeepSeek-V3
Math
-1.7#297
18.2#173
Finance
1.7#176
20.1#79
Legal
1.7#165
20.1#63
Conservative TrueSkill rating · higher is betterHow scores work

Individual benchmarks

6 reported for Command R+ · 20 for DeepSeek-V3

1 shared

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

DeepSeek-V3 significantly outperforms across most benchmarks.

Mon Aug 31 2026 • llm-stats.com

Human preference

Blind head-to-head votes and playground preference scores

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
Mon Aug 31 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
Mon Aug 31 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

2.0 years ago

DeepSeek-V3

Dec 25, 2024

1.7 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→

Judge for yourself.

Run your own prompts against Command R+ and DeepSeek-V3 side-by-side, then vote on the output you prefer.

Command R+
✓ Preferred
DeepSeek-V3
Open in Playground

FAQ

Common questions about Command R+ vs DeepSeek-V3.

Which is better, Command R+ or DeepSeek-V3?

DeepSeek-V3 leads the LLM Stats Score 15.8 to -0.1. Command R+ is made by Cohere and DeepSeek-V3 is made by DeepSeek. The best choice depends on your use case — compare their capability indexes, individual benchmarks, pricing, and limits above.

How does Command R+ compare to DeepSeek-V3 in benchmarks?

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%.

Is Command R+ cheaper than DeepSeek-V3?

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.

What are the context window sizes for Command R+ and DeepSeek-V3?

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.

What are the main differences between Command R+ and DeepSeek-V3?

Key differences include LLM Stats Score (-0.1 vs 15.8), 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.

Who makes Command R+ and DeepSeek-V3?

Command R+ is developed by Cohere and DeepSeek-V3 is developed by DeepSeek.

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