Model Comparison

Command R+ vs DeepSeek-V3.2 (Thinking)Which is better in 2026?

Comparing Command R+ and DeepSeek-V3.2 (Thinking) across benchmarks, pricing, and capabilities.

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

Command R+ (by Cohere) and DeepSeek-V3.2 (Thinking) (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 (Thinking) 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 (Thinking) also accepts a larger context window (131,072 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 (Thinking) if…

  • cost matters — it's about 1.4x cheaper per token
  • you process long inputs — it offers a 131,072 token context window
  • you want the most recent training data — it shipped Dec 2025
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Performance Benchmarks

Comparative analysis across standard metrics

No common benchmarks found

Command R+ and DeepSeek-V3.2 (Thinking) don'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 (Thinking) costs less

For input processing, Command R+ ($0.25/1M tokens) is 1.1x cheaper than DeepSeek-V3.2 (Thinking) ($0.28/1M tokens).

For output processing, Command R+ ($1.00/1M tokens) is 2.4x more expensive than DeepSeek-V3.2 (Thinking) ($0.42/1M tokens).

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

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

Lowest available price from all providers
Mon Jun 08 2026 • llm-stats.com
Cohere
Command R+
Input tokens$0.25
Output tokens$1.00
Best providerCohere
DeepSeek
DeepSeek-V3.2 (Thinking)
Input tokens$0.28
Output tokens$0.42
Best providerDeepSeek
Notice missing or incorrect data?Start an Issue→

Model Size

Parameter count comparison

581.0B diff

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

Cohere
Command R+
104.0Bparameters
DeepSeek
DeepSeek-V3.2 (Thinking)
685.0Bparameters
104.0B
Command R+
685.0B
DeepSeek-V3.2 (Thinking)

Context Window

Maximum input and output token capacity

DeepSeek-V3.2 (Thinking) accepts 131,072 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 (Thinking) is limited to 65,536 tokens.

Cohere
Command R+
Input128,000 tokens
Output128,000 tokens
DeepSeek
DeepSeek-V3.2 (Thinking)
Input131,072 tokens
Output65,536 tokens
Mon Jun 08 2026 • llm-stats.com

License

Usage and distribution terms

Command R+ is licensed under CC BY-NC, while DeepSeek-V3.2 (Thinking) 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 (Thinking)

MIT

Open weights

Release Timeline

When each model was launched

Command R+ was released on 2024-08-30, while DeepSeek-V3.2 (Thinking) was released on 2025-12-01.

DeepSeek-V3.2 (Thinking) is 15 months newer than Command R+.

Command R+

Aug 30, 2024

1.8 years ago

DeepSeek-V3.2 (Thinking)

Dec 1, 2025

6 months ago

1.3yr 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 (Thinking) 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-V3.2 (Thinking)

deepseek logo
DeepSeek
Input Price:Input: $0.28/1MOutput Price:Output: $0.42/1M
* 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 (131,072 tokens)
Less expensive output tokens

Detailed Comparison

AI Model Comparison Table
Feature
Cohere
Command R+
DeepSeek
DeepSeek-V3.2 (Thinking)

FAQ

Common questions about Command R+ vs DeepSeek-V3.2 (Thinking).

Which is better, Command R+ or DeepSeek-V3.2 (Thinking)?

Command R+ (Cohere) and DeepSeek-V3.2 (Thinking) (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 (Thinking) in benchmarks?

Command R+ scores HellaSwag: 88.6%, Winogrande: 85.4%, MMLU: 75.7%, ARC-C: 71.0%, GSM8k: 70.7%. DeepSeek-V3.2 (Thinking) scores AIME 2025: 93.1%, HMMT 2025: 90.2%, MMLU-Pro: 85.0%, LiveCodeBench: 83.3%, GPQA: 82.4%.

Is Command R+ cheaper than DeepSeek-V3.2 (Thinking)?

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 (Thinking) costs $0.28/M input and $0.42/M output via deepseek.

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

Command R+ supports 128K tokens and DeepSeek-V3.2 (Thinking) 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-V3.2 (Thinking)?

Key differences include context window (128K vs 131K), input pricing ($0.25 vs $0.28/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 (Thinking)?

Command R+ is developed by Cohere and DeepSeek-V3.2 (Thinking) is developed by DeepSeek.

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