Model Comparison

Command R+ vs DeepSeek-V3.2-ExpWhich is better in 2026?

Comparing Command R+ and DeepSeek-V3.2-Exp across benchmarks, pricing, and capabilities.

Verdict: Command R+ vs DeepSeek-V3.2-Exp — which is better?

Command R+ (by Cohere) and DeepSeek-V3.2-Exp (by DeepSeek) 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.

On price, DeepSeek-V3.2-Exp is roughly 1.4x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.

DeepSeek-V3.2-Exp also accepts a larger context window (163,840 input tokens), making it the stronger choice for long documents and large codebases.

Choose Command R+ if…

  • you want predictable pricing at $0.25/M input and $1.00/M output

Choose DeepSeek-V3.2-Exp if…

  • cost matters — it's about 1.4x cheaper per token
  • you process long inputs — it offers a 163,840 token context window
  • you want the most recent training data — it shipped Sep 2025
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Performance Benchmarks

Comparative analysis across standard metrics

No common benchmarks found

Command R+ and DeepSeek-V3.2-Expdon'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

DeepSeek-V3.2-Exp costs less

For input processing, Command R+ ($0.25/1M tokens) is 1.1x cheaper than DeepSeek-V3.2-Exp ($0.27/1M tokens).

For output processing, Command R+ ($1.00/1M tokens) is 2.4x more expensive than DeepSeek-V3.2-Exp ($0.41/1M tokens).

In conclusion, Command R+ is more expensive than DeepSeek-V3.2-Exp.*

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

Lowest available price from all providers
Mon Jun 15 2026 • llm-stats.com
Cohere
Command R+
Input tokens$0.25
Output tokens$1.00
Best providerCohere
DeepSeek
DeepSeek-V3.2-Exp
Input tokens$0.27
Output tokens$0.41
Best providerNovita
Notice missing or incorrect data?Start an Issue→

Model Size

Parameter count comparison

581.0B diff

DeepSeek-V3.2-Exp has 581.0B more parameters than Command R+, making it 558.7% larger.

Cohere
Command R+
104.0Bparameters
DeepSeek
DeepSeek-V3.2-Exp
685.0Bparameters
104.0B
Command R+
685.0B
DeepSeek-V3.2-Exp

Context Window

Maximum input and output token capacity

DeepSeek-V3.2-Exp accepts 163,840 input tokens compared to Command R+'s 128,000 tokens. Command R+ can generate longer responses up to 128,000 tokens, while DeepSeek-V3.2-Exp is limited to 65,536 tokens.

Cohere
Command R+
Input128,000 tokens
Output128,000 tokens
DeepSeek
DeepSeek-V3.2-Exp
Input163,840 tokens
Output65,536 tokens
Mon Jun 15 2026 • llm-stats.com

License

Usage and distribution terms

Command R+ is licensed under CC BY-NC, while DeepSeek-V3.2-Exp uses MIT.

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

Command R+

CC BY-NC

Open weights

DeepSeek-V3.2-Exp

MIT

Open weights

Release Timeline

When each model was launched

Command R+ was released on 2024-08-30, while DeepSeek-V3.2-Exp was released on 2025-09-29.

DeepSeek-V3.2-Exp is 13 months newer than Command R+.

Command R+

Aug 30, 2024

1.8 years ago

DeepSeek-V3.2-Exp

Sep 29, 2025

8 months ago

1.1yr 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-V3.2-Exp is available from Novita.

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-V3.2-Exp

novita logo
Novita
Input Price:Input: $0.27/1MOutput Price:Output: $0.41/1M
* Prices shown are per million tokens

Outputs Comparison

Notice missing or incorrect data?Start an Issue discussion→

Key Takeaways

Cohere
Less expensive input tokens
DeepSeek
Larger context window (163,840 tokens)
Less expensive output tokens

Detailed Comparison

AI Model Comparison Table
Feature
Cohere
Command R+
DeepSeek
DeepSeek-V3.2-Exp

FAQ

Common questions about Command R+ vs DeepSeek-V3.2-Exp.

Which is better, Command R+ or DeepSeek-V3.2-Exp?

Command R+ (Cohere) and DeepSeek-V3.2-Exp (DeepSeek) each have strengths in different areas. Compare their benchmark scores, pricing, context windows, and capabilities above to determine which fits your needs.

How does Command R+ compare to DeepSeek-V3.2-Exp in benchmarks?

Command R+ scores HellaSwag: 88.6%, Winogrande: 85.4%, MMLU: 75.7%, ARC-C: 71.0%, GSM8k: 70.7%. DeepSeek-V3.2-Exp scores SimpleQA: 97.1%, AIME 2025: 89.3%, MMLU-Pro: 85.0%, HMMT 2025: 83.6%, GPQA: 79.9%.

Is Command R+ cheaper than DeepSeek-V3.2-Exp?

Command R+ is 1.1x cheaper for input tokens. Command R+ costs $0.25/M input and $1.00/M output via cohere. DeepSeek-V3.2-Exp costs $0.27/M input and $0.41/M output via novita.

What are the context window sizes for Command R+ and DeepSeek-V3.2-Exp?

Command R+ supports 128K tokens and DeepSeek-V3.2-Exp supports 164K 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-V3.2-Exp?

Key differences include context window (128K vs 164K), input pricing ($0.25 vs $0.27/M), licensing (CC BY-NC vs MIT). See the full comparison above for benchmark-by-benchmark results.

Who makes Command R+ and DeepSeek-V3.2-Exp?

Command R+ is developed by Cohere and DeepSeek-V3.2-Exp is developed by DeepSeek.

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