Model Comparison

DeepSeek-V3 vs Command R+Which is better in 2026?

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

Verdict: DeepSeek-V3 vs Command R+ — which is better?

DeepSeek-V3 (by DeepSeek) and Command R+ (by Cohere) are two of the AI models people compare most. Here is how they stack up on benchmarks, price and capabilities, and which one to pick in 2026.

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

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.

Choose DeepSeek-V3 if…

  • you want the strongest raw capability — it leads on 1 of 1 shared benchmarks
  • you process long inputs — it offers a 131,072 token context window
  • you want the most recent training data — it shipped Dec 2024

Choose Command R+ if…

  • cost matters — it's about 1.1x cheaper per token
Want to compare interactively?Try the playground

Performance Benchmarks

Comparative analysis across standard metrics

1 benchmarks

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

DeepSeek-V3 significantly outperforms across most benchmarks.

Thu Jun 11 2026 • llm-stats.com

Arena Performance

Human preference votes

Pricing Analysis

Price comparison per million tokens

Command R+ costs less

For input processing, DeepSeek-V3 ($0.27/1M tokens) is 1.1x more expensive than Command R+ ($0.25/1M tokens).

For output processing, DeepSeek-V3 ($1.10/1M tokens) is 1.1x more expensive than Command R+ ($1.00/1M 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
Thu Jun 11 2026 • llm-stats.com
DeepSeek
DeepSeek-V3
Input tokens$0.27
Output tokens$1.10
Best providerDeepSeek
Cohere
Command R+
Input tokens$0.25
Output tokens$1.00
Best providerCohere
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.

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

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.

DeepSeek
DeepSeek-V3
Input131,072 tokens
Output131,072 tokens
Cohere
Command R+
Input128,000 tokens
Output128,000 tokens
Thu Jun 11 2026 • llm-stats.com

License

Usage and distribution terms

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

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

DeepSeek-V3

MIT + Model License (Commercial use allowed)

Open weights

Command R+

CC BY-NC

Open weights

Release Timeline

When each model was launched

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

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

DeepSeek-V3

Dec 25, 2024

1.5 years ago

3mo newer
Command R+

Aug 30, 2024

1.8 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

DeepSeek-V3 is available from DeepSeek. Command R+ is available from Cohere, Bedrock.

DeepSeek-V3

deepseek logo
DeepSeek
Input Price:Input: $0.27/1MOutput Price:Output: $1.10/1M

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
* Prices shown are per million tokens

Outputs Comparison

Notice missing or incorrect data?Start an Issue discussion→

Key Takeaways

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

Detailed Comparison

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

FAQ

Common questions about DeepSeek-V3 vs Command R+.

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

DeepSeek-V3 significantly outperforms across most benchmarks. DeepSeek-V3 is made by DeepSeek and Command R+ is made by Cohere. The best choice depends on your use case — compare their benchmark scores, pricing, and capabilities above.

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

DeepSeek-V3 scores DROP: 91.6%, CLUEWSC: 90.9%, MATH-500: 90.2%, MMLU-Redux: 89.1%, MMLU: 88.5%. Command R+ scores HellaSwag: 88.6%, Winogrande: 85.4%, MMLU: 75.7%, ARC-C: 71.0%, GSM8k: 70.7%.

Is DeepSeek-V3 cheaper than Command R+?

Command R+ is 1.1x cheaper for input tokens. DeepSeek-V3 costs $0.27/M input and $1.10/M output via deepseek. Command R+ costs $0.25/M input and $1.00/M output via cohere.

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

DeepSeek-V3 supports 131K tokens and Command R+ supports 128K tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.

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

Key differences include context window (131K vs 128K), input pricing ($0.27 vs $0.25/M), licensing (MIT + Model License (Commercial use allowed) vs CC BY-NC). See the full comparison above for benchmark-by-benchmark results.

Who makes DeepSeek-V3 and Command R+?

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

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